Alternatives to Cortex Data Lake

A data lake serves as a comprehensive repository designed for handling extensive data and artificial intelligence operations, accommodating both structured and unstructured data at any volume. It is essential for organizations looking to harness the power of Data Lake Formation (DLF), which simplifies the creation of a cloud-native data lake environment. DLF integrates effortlessly with various computing frameworks while enabling centralized management of metadata and robust enterprise-level permission controls. It systematically gathers structured, semi-structured, and unstructured data, ensuring substantial storage capabilities, and employs a design that decouples computing resources from storage solutions. This architecture allows for on-demand resource planning at minimal costs, significantly enhancing data processing efficiency to adapt to swiftly evolving business needs. Furthermore, DLF is capable of automatically discovering and consolidating metadata from multiple sources, effectively addressing issues related to data silos. Ultimately, this functionality streamlines data management, making it easier for organizations to leverage their data assets.

The Qlik Data Integration platform designed for managed data lakes streamlines the delivery of consistently updated, reliable, and trusted data sets for business analytics purposes. Data engineers enjoy the flexibility to swiftly incorporate new data sources, ensuring effective management at every stage of the data lake pipeline, which includes real-time data ingestion, refinement, provisioning, and governance. It serves as an intuitive and comprehensive solution for the ongoing ingestion of enterprise data into widely-used data lakes in real-time. Employing a model-driven strategy, it facilitates the rapid design, construction, and management of data lakes, whether on-premises or in the cloud. Furthermore, it provides a sophisticated enterprise-scale data catalog that enables secure sharing of all derived data sets with business users, thereby enhancing collaboration and data-driven decision-making across the organization. This comprehensive approach not only optimizes data management but also empowers users by making valuable insights readily accessible.

Azure Data Lake offers a comprehensive set of features designed to facilitate the storage of data in any form, size, and speed for developers, data scientists, and analysts alike, enabling a wide range of processing and analytics across various platforms and programming languages. By simplifying the ingestion and storage of data, it accelerates the process of launching batch, streaming, and interactive analytics. Additionally, Azure Data Lake is compatible with existing IT frameworks for identity, management, and security, which streamlines data management and governance. Its seamless integration with operational stores and data warehouses allows for the extension of current data applications without disruption. Leveraging insights gained from working with enterprise clients and managing some of the world's largest processing and analytics tasks for services such as Office 365, Xbox Live, Azure, Windows, Bing, and Skype, Azure Data Lake addresses many of the scalability and productivity hurdles that hinder your ability to fully utilize data. Ultimately, it empowers organizations to harness their data's potential more effectively and efficiently than ever before.

Amazon Security Lake seamlessly consolidates security information from various AWS environments, SaaS platforms, on-premises systems, and cloud sources into a specialized data lake within your account. This service enables you to gain a comprehensive insight into your security data across the entire organization, enhancing the safeguarding of your workloads, applications, and data. By utilizing the Open Cybersecurity Schema Framework (OCSF), which is an open standard, Security Lake effectively normalizes and integrates security data from AWS along with a wide array of enterprise security data sources. You have the flexibility to use your preferred analytics tools to examine your security data while maintaining full control and ownership over it. Furthermore, you can centralize visibility into data from both cloud and on-premises sources across your AWS accounts and Regions. This approach not only streamlines your data management at scale but also ensures consistency in your security data by adhering to an open standard, allowing for more efficient and effective security practices across your organization. Ultimately, this solution empowers organizations to respond to security threats more swiftly and intelligently.

Standing watch, at your side. Intelligent security analytics for your entire organization. With SIEM reinvented for modern times, you can see and stop threats before they cause damage. Microsoft Sentinel gives you a birds-eye view of the entire enterprise. Use the cloud and large-scale intelligence gleaned from decades of Microsoft security expertise to your advantage. Artificial intelligence (AI) will make your threat detection and response faster and more efficient. Reduce the time and cost of security infrastructure setup and maintenance. You can elastically scale your security needs to meet them, while reducing IT costs. Collect data at cloud scale - across all users, devices and applications, on-premises or in multiple clouds. Using Microsoft's unparalleled threat intelligence and analytics, detect previously discovered threats and reduce false positives. Microsoft's decades of cybersecurity experience allows you to investigate threats and track suspicious activities on a large scale.

Kylo serves as an open-source platform designed for effective management of enterprise-level data lakes, facilitating self-service data ingestion and preparation while also incorporating robust metadata management, governance, security, and best practices derived from Think Big's extensive experience with over 150 big data implementation projects. It allows users to perform self-service data ingestion complemented by features for data cleansing, validation, and automatic profiling. Users can manipulate data effortlessly using visual SQL and an interactive transformation interface that is easy to navigate. The platform enables users to search and explore both data and metadata, examine data lineage, and access profiling statistics. Additionally, it provides tools to monitor the health of data feeds and services within the data lake, allowing users to track service level agreements (SLAs) and address performance issues effectively. Users can also create batch or streaming pipeline templates using Apache NiFi and register them with Kylo, thereby empowering self-service capabilities. Despite organizations investing substantial engineering resources to transfer data into Hadoop, they often face challenges in maintaining governance and ensuring data quality, but Kylo significantly eases the data ingestion process by allowing data owners to take control through its intuitive guided user interface. This innovative approach not only enhances operational efficiency but also fosters a culture of data ownership within organizations.

The Intelligent Data Platform, driven by AI, stands out as the most extensive and adaptable solution in the industry. It enables organizations to unlock the full potential of their data while addressing intricate challenges effectively. This platform sets a new benchmark for data management within enterprises. With our superior products and a cohesive platform that brings them together, you can harness intelligent data to fuel your operations. Seamlessly connect to diverse data sources and expand your capabilities with assurance. Our robust global infrastructure handles more than 15 trillion cloud transactions monthly, ensuring reliability. Prepare your business for the future with a comprehensive platform that provides dependable data at scale for various data management applications. Our AI-driven architecture facilitates multiple integration methods, allowing you to progress and adapt at your own pace, while our solution is designed to be modular, based on microservices, and driven by APIs. Embrace the flexibility and innovation our platform offers, ensuring your organization stays ahead in a rapidly evolving data landscape.

Utilihive, a cloud-native big-data integration platform, is offered as a managed (SaaS) service. Utilihive, the most popular Enterprise-iPaaS (iPaaS), is specifically designed for utility and energy usage scenarios. Utilihive offers both the technical infrastructure platform (connectivity and integration, data ingestion and data lake management) and preconfigured integration content or accelerators. (connectors and data flows, orchestrations and utility data model, energy services, monitoring and reporting dashboards). This allows for faster delivery of data-driven services and simplifies operations.

Exabeam helps teams to outsmart the odds, by adding intelligence and business products such as SIEMs, XDRs and cloud data lakes. Use case coverage that is out-of-the box consistently delivers positive results. Behavioral analytics allows teams to detect malicious and compromised users that were previously hard to find. New-Scale Fusion is a cloud-native platform that combines New-Scale SIEM with New-Scale Analytics. Fusion integrates AI and automation into security operations workflows, delivering the industry's leading platform for threat detection and investigation and response (TDIR).

Hunters represents a groundbreaking autonomous AI-driven next-generation SIEM and threat hunting platform that enhances expert techniques for detecting cyber threats that elude conventional security measures. By autonomously cross-referencing events, logs, and static information from a wide array of organizational data sources and security telemetry, Hunters uncovers concealed cyber threats within modern enterprises. This innovative solution allows users to utilize existing data to identify threats that slip past security controls across various environments, including cloud, network, and endpoints. Hunters processes vast amounts of raw organizational data, performing cohesive analysis to identify and detect potential attacks effectively. By enabling threat hunting at scale, Hunters extracts TTP-based threat signals and employs an AI correlation graph for enhanced detection. The platform's dedicated threat research team continuously provides fresh attack intelligence, ensuring that Hunters consistently transforms your data into actionable insights regarding potential threats. Rather than merely responding to alerts, Hunters enables teams to act upon concrete findings, delivering high-fidelity attack detection narratives that significantly streamline SOC response times and improve overall security posture. As a result, organizations can not only enhance their threat detection capabilities but also fortify their defenses against evolving cyber threats.

The intricacies of data often hold hidden challenges, particularly when it comes to your metadata. Lumu’s Continuous Compromise Assessment model thrives on its capacity to gather, standardize, and scrutinize a diverse array of network metadata, such as DNS records, netflows, proxy and firewall access logs, as well as spam filters. The unparalleled visibility provided by these data sources empowers us to decode the behaviors within your enterprise network, ultimately yielding definitive insights into your specific compromise levels. Equip your security personnel with trustworthy compromise data that allows for a well-informed and swift response. While blocking spam is beneficial, delving into its analysis proves to be more advantageous, as it reveals the entities targeting your organization, their methods, and their success rates. Lumu’s Continuous Compromise Assessment is supported by our innovative Illumination Process, designed to shed light on potential vulnerabilities. Discover how this groundbreaking approach leverages network metadata combined with advanced analytics to clarify the obscure areas of your network. By understanding these dark spots, you can significantly enhance your overall security posture.

Juniper Secure Analytics stands out as a prominent security information and event management (SIEM) solution that aggregates vast amounts of event data in near real-time from a multitude of network devices, computing endpoints, and applications. By leveraging advanced big data analytics, it converts this data into valuable network insights and generates a list of actionable offenses, thereby expediting the incident remediation process. As a crucial component of the Juniper Connected Security portfolio, it enhances security across every point of network connection, safeguarding users, data, and infrastructure from sophisticated threats. This virtual SIEM system not only gathers and analyzes security data from a global network of devices but also plays a vital role in the proactive detection and resolution of security incidents, ensuring organizations can respond swiftly to potential risks. In a landscape increasingly challenged by cyber threats, the role of Juniper Secure Analytics becomes even more significant for organizations striving to maintain robust cybersecurity.

BigLake serves as a storage engine that merges the functionalities of data warehouses and lakes, allowing BigQuery and open-source frameworks like Spark to efficiently access data while enforcing detailed access controls. It enhances query performance across various multi-cloud storage systems and supports open formats, including Apache Iceberg. Users can maintain a single version of data, ensuring consistent features across both data warehouses and lakes. With its capacity for fine-grained access management and comprehensive governance over distributed data, BigLake seamlessly integrates with open-source analytics tools and embraces open data formats. This solution empowers users to conduct analytics on distributed data, regardless of its storage location or method, while selecting the most suitable analytics tools, whether they be open-source or cloud-native, all based on a singular data copy. Additionally, it offers fine-grained access control for open-source engines such as Apache Spark, Presto, and Trino, along with formats like Parquet. As a result, users can execute high-performing queries on data lakes driven by BigQuery. Furthermore, BigLake collaborates with Dataplex, facilitating scalable management and logical organization of data assets. This integration not only enhances operational efficiency but also simplifies the complexities of data governance in large-scale environments.

Identify threats sooner, react swiftly, and maintain an edge against cyber attacks. This platform represents the pinnacle of AI security analysts, being the sole comprehensive solution that integrates a unified platform, console, and data repository. Enhance autonomous security measures throughout your organization using cutting-edge, patent-pending artificial intelligence technology. Simplify the investigative process by seamlessly merging widely-used tools and integrating threat intelligence with relevant insights into an intuitive conversational interface. Uncover latent vulnerabilities, delve deeper into investigations, and respond more quickly, all while utilizing natural language. Equip your analysts with the ability to convert natural language inquiries into powerful query translations. Propel your Security Operations with our quick start hunting initiatives, AI-driven analyses, automated summaries, and recommended queries. Facilitate collaborative investigations with easily shareable notebooks. Utilize a framework meticulously designed for the safeguarding of data and privacy. Importantly, Purple AI ensures that customer data remains untouched during training and is constructed with the utmost protective measures. This commitment to security and privacy builds trust and confidence in the system’s reliability.

Lentiq offers a collaborative data lake as a service that empowers small teams to achieve significant results. It allows users to swiftly execute data science, machine learning, and data analysis within the cloud platform of their choice. With Lentiq, teams can seamlessly ingest data in real time, process and clean it, and share their findings effortlessly. This platform also facilitates the building, training, and internal sharing of models, enabling data teams to collaborate freely and innovate without limitations. Data lakes serve as versatile storage and processing environments, equipped with machine learning, ETL, and schema-on-read querying features, among others. If you’re delving into the realm of data science, a data lake is essential for your success. In today’s landscape, characterized by the Post-Hadoop era, large centralized data lakes have become outdated. Instead, Lentiq introduces data pools—interconnected mini-data lakes across multiple clouds—that work harmoniously to provide a secure, stable, and efficient environment for data science endeavors. This innovative approach enhances the overall agility and effectiveness of data-driven projects.

Traditional Data Lakes frequently simplify their role to merely serving as inexpensive raw data repositories, overlooking crucial elements such as data transformation, quality assurance, and security protocols. Consequently, data scientists often find themselves dedicating as much as 80% of their time to the processes of data acquisition, comprehension, and cleansing, which delays their ability to leverage their primary skills effectively. Furthermore, the establishment of traditional Data Lakes tends to occur in isolation by various departments, each utilizing different standards and tools, complicating the implementation of cohesive analytical initiatives. In contrast, Smart Data Lakes address these challenges by offering both architectural and methodological frameworks, alongside a robust toolset designed to create a high-quality data infrastructure. Essential to any contemporary analytics platform, Smart Data Lakes facilitate seamless integration with popular Data Science tools and open-source technologies, including those used for artificial intelligence and machine learning applications. Their cost-effective and scalable storage solutions accommodate a wide range of data types, including unstructured data and intricate data models, thereby enhancing overall analytical capabilities. This adaptability not only streamlines operations but also fosters collaboration across different departments, ultimately leading to more informed decision-making.

WildFire® employs near real-time analytics to identify novel, targeted malware and advanced persistent threats, ensuring the safety of your organization. It offers sophisticated file analysis features to safeguard applications such as web portals and can seamlessly integrate with SOAR tools among other resources. By utilizing WildFire’s distinct malware analysis capabilities across various threat vectors, your organization can achieve uniform security results through an API. You can select flexible file submission options and adjust query volumes based on your needs, all without the necessity of a next-generation firewall. Take advantage of top-tier advanced analysis and prevention engine capabilities, coupled with regional cloud deployments and a distinctive network effect. Additionally, WildFire merges machine learning, dynamic and static evaluations, alongside a specially designed analysis environment, to uncover even the most intricate threats throughout different stages and attack vectors, thus enhancing your overall security posture. With its comprehensive approach, WildFire ensures that organizations remain resilient against evolving cyber threats.

Today's bandwidth-unconstrained, encrypted, cloud centric networks make it impossible to separate traffic analytics and security and investigation activities. Trisul can help organizations of all sizes implement full-spectrum deep networking monitoring that can serve as a single source of truth for performance monitoring and network design, security analytics, threat detection and compliance. Traditional approaches based upon SNMP, Netflow Agents, Agents, and Packet Capture tend to have a narrow focus, rigid vendor-supplied analysis, and a narrow focus. Trisul is the only platform that allows you to innovate on a rich, open platform. It includes a tightly integrated backend database store and a web interface. It is flexible enough to connect to a different backend, or to drive Grafana and Kibana UIs. Our goal is to pack as many performance options as possible into a single node. To scale larger networks, add more probes or hubs.

Hydrolix serves as a streaming data lake that integrates decoupled storage, indexed search, and stream processing, enabling real-time query performance at a terabyte scale while significantly lowering costs. CFOs appreciate the remarkable 4x decrease in data retention expenses, while product teams are thrilled to have four times more data at their disposal. You can easily activate resources when needed and scale down to zero when they are not in use. Additionally, you can optimize resource usage and performance tailored to each workload, allowing for better cost management. Imagine the possibilities for your projects when budget constraints no longer force you to limit your data access. You can ingest, enhance, and transform log data from diverse sources such as Kafka, Kinesis, and HTTP, ensuring you retrieve only the necessary information regardless of the data volume. This approach not only minimizes latency and costs but also eliminates timeouts and ineffective queries. With storage being independent from ingestion and querying processes, each aspect can scale independently to achieve both performance and budget goals. Furthermore, Hydrolix's high-density compression (HDX) often condenses 1TB of data down to an impressive 55GB, maximizing storage efficiency. By leveraging such innovative capabilities, organizations can fully harness their data potential without financial constraints.

Securonix Unified Defense SIEM is an advanced security operations platform that integrates log management, user and entity behavior analytics (UEBA), and security incident response, all driven by big data. It captures vast amounts of data in real-time and employs patented machine learning techniques to uncover sophisticated threats while offering AI-enhanced incident response for swift remediation. This platform streamlines security operations, minimizes alert fatigue, and effectively detects threats both within and outside the organization. By providing an analytics-centric approach to SIEM, SOAR, and NTA, with UEBA at its core, Securonix operates as a fully cloud-based solution without compromises. Users can efficiently collect, identify, and address threats through a single, scalable solution that leverages machine learning and behavioral insights. Designed with a results-oriented mindset, Securonix takes care of SIEM management, allowing teams to concentrate on effectively addressing security threats as they arise.

The leading SIEM solution offers extensive visibility, enhances detection accuracy through contextual insights, and boosts operational effectiveness. Its unparalleled visibility is achieved by efficiently aggregating, normalizing, and analyzing data from diverse sources at scale, all thanks to Splunk's robust, data-driven platform equipped with advanced AI features. By employing risk-based alerting (RBA), a unique functionality of Splunk Enterprise Security, organizations can significantly decrease alert volumes by as much as 90%, allowing them to focus on the most critical threats. This capability not only enhances productivity but also ensures that the threats being monitored are of high fidelity. Furthermore, the seamless integration with Splunk SOAR automation playbooks and the case management features of Splunk Enterprise Security and Mission Control creates a cohesive work environment. By optimizing the mean time to detect (MTTD) and mean time to respond (MTTR) for incidents, teams can enhance their overall incident management effectiveness. This comprehensive approach ultimately leads to a more proactive security posture that can adapt to evolving threats.

NewEvol is an innovative product suite that leverages data science to conduct advanced analytics, pinpointing irregularities within the data itself. Enhanced by visualization tools, rule-based alerts, automation, and responsive features, NewEvol presents an appealing solution for enterprises of all sizes. With the integration of Machine Learning (ML) and security intelligence, NewEvol stands out as a resilient system equipped to meet complex business requirements. The NewEvol Data Lake is designed for effortless deployment and management, eliminating the need for a team of specialized data administrators. As your organization's data demands evolve, the system automatically adapts by scaling and reallocating resources as necessary. Furthermore, the NewEvol Data Lake boasts extensive capabilities for data ingestion, allowing for the enrichment of information drawn from a variety of sources. It supports diverse data formats, including delimited files, JSON, XML, PCAP, and Syslog, ensuring a comprehensive approach to data handling. Additionally, it employs a state-of-the-art, contextually aware event analytics model to enhance the enrichment process, enabling businesses to derive deeper insights from their data. Ultimately, NewEvol empowers organizations to navigate the complexities of data management with remarkable efficiency and precision.

Elastic Security provides analysts with the tools necessary to thwart, identify, and address threats effectively. This free and open-source platform offers a range of features, including SIEM, endpoint security, threat hunting, and cloud monitoring, among others. With its user-friendly interface, Elastic simplifies the process of searching, visualizing, and analyzing diverse data types — whether it's from the cloud, users, endpoints, or networks — in just a matter of seconds. Analysts can hunt and investigate using years of data, made easily accessible through searchable snapshots. Thanks to flexible licensing options, organizations can tap into information from across their entire ecosystem, regardless of volume, variety, or age. The solution aids in preventing damage and loss through comprehensive malware and ransomware protection across the environment. Users can swiftly deploy analytical content created by Elastic and the wider security community to bolster defenses against threats identified in the MITRE ATT&CK® framework. By utilizing analyst-driven, cross-index correlation, machine learning jobs, and technique-based strategies, complex threats can be detected with greater efficiency. Additionally, practitioners are empowered by an intuitive user interface and integrations with partners that enhance incident management processes. Overall, Elastic Security stands out as a robust solution for organizations committed to maintaining a secure digital environment.

Dataleyk serves as a secure, fully-managed cloud data platform tailored for small and medium-sized businesses. Our goal is to simplify Big Data analytics and make it accessible to everyone. Dataleyk acts as the crucial link to achieve your data-driven aspirations. The platform empowers you to quickly establish a stable, flexible, and reliable cloud data lake, requiring minimal technical expertise. You can consolidate all of your company’s data from various sources, utilize SQL for exploration, and create visualizations using your preferred BI tools or our sophisticated built-in graphs. Transform your data warehousing approach with Dataleyk, as our cutting-edge cloud data platform is designed to manage both scalable structured and unstructured data efficiently. Recognizing data as a vital asset, Dataleyk takes security seriously by encrypting all your information and providing on-demand data warehousing options. While achieving zero maintenance may seem challenging, pursuing this goal can lead to substantial improvements in delivery and transformative outcomes. Ultimately, Dataleyk is here to ensure that your data journey is as seamless and efficient as possible.

Unlock the potential of robust and efficient threat detection and response with advanced security analytics from a next-generation SIEM. This cutting-edge Security Information and Event Management system provides real-time threat detection and response, supported by an open and intelligent framework. Achieve comprehensive threat visibility across your organization through a leading data collection infrastructure that integrates seamlessly with all your security event devices. In the realm of threat detection, timely action is crucial; thus, ESM’s powerful real-time correlation delivers the quickest means to identify known threats effectively. A swift and coordinated response to imminent threats is essential for Next-Gen Security Operations. Automated workflows and responses enhance the operational efficiency of your Security Operations Center (SOC). By utilizing a Next-Gen SIEM, you can seamlessly incorporate it with your current security solutions, maximizing their return on investment while supporting a multi-layered analytics approach. ArcSight ESM harnesses the capabilities of the Security Open Data Platform, employing SmartConnectors that can interface with over 450 data source types to systematically collect, aggregate, cleanse, and enrich your data. With this integrated approach, organizations can not only enhance their security posture but also streamline operations for a more proactive defense strategy.

Dremio provides lightning-fast queries as well as a self-service semantic layer directly to your data lake storage. No data moving to proprietary data warehouses, and no cubes, aggregation tables, or extracts. Data architects have flexibility and control, while data consumers have self-service. Apache Arrow and Dremio technologies such as Data Reflections, Columnar Cloud Cache(C3), and Predictive Pipelining combine to make it easy to query your data lake storage. An abstraction layer allows IT to apply security and business meaning while allowing analysts and data scientists access data to explore it and create new virtual datasets. Dremio's semantic layers is an integrated searchable catalog that indexes all your metadata so business users can make sense of your data. The semantic layer is made up of virtual datasets and spaces, which are all searchable and indexed.

Experience the freedom of storage that allows data to flow freely without restrictions. With a managed data lake, you can quickly set up your system and start utilizing data without needing to be an expert in the field. Cribl Lake ensures you won’t be overwhelmed by data, enabling effortless storage, management, policy enforcement, and accessibility whenever necessary. Embrace the future with open formats while benefiting from consistent retention, security, and access control policies. Let Cribl take care of the complex tasks, transforming data into a resource that delivers value to your teams and tools. With Cribl Lake, you can be operational in minutes instead of months, thanks to seamless automated provisioning and ready-to-use integrations. Enhance your workflows using Stream and Edge for robust data ingestion and routing capabilities. Cribl Search simplifies your querying process, providing a unified approach regardless of where your data resides, so you can extract insights without unnecessary delays. Follow a straightforward route to gather and maintain data for the long haul while easily meeting legal and business obligations for data retention by setting specific retention timelines. By prioritizing user-friendliness and efficiency, Cribl Lake equips you with the tools needed to maximize data utility and compliance.

The digital landscape is expanding swiftly, complicating the defense against sophisticated threats. A recent Ponemon study reveals that almost 80% of organizations are accelerating digital innovation more quickly than they can effectively safeguard it from cyberattacks. Furthermore, the intricacies and fragmentation of current infrastructures are contributing to an increase in cyber incidents and data breaches. Various standalone security solutions employed by some companies tend to function in isolation, hindering network and security operations teams from obtaining a clear and cohesive understanding of the overall situation within the organization. Implementing an integrated security architecture that includes analytics and automation features can significantly enhance visibility and streamline processes. FortiAnalyzer, as part of the Fortinet Security Fabric, offers comprehensive analytics and automation capabilities, thereby improving the detection and response to cyber threats. This integration not only fortifies security measures but also empowers organizations to respond more effectively to emerging cyber challenges.

LogPoint provides a simple and quick security analytics implementation. It also offers a user-friendly interface which can be integrated with any IT infrastructure. LogPoint's modern SIEM and UEBA offers advanced analytics and ML driven automation capabilities that enable customers to secure build-, manage and transform their businesses. This allows for lower costs to deploy a SIEM solution either on-premise or in the cloud. The solution can be integrated with all devices on your network to provide a comprehensive and correlated overview over events in your IT infrastructure. LogPoint's Modern SIEM software translates all data into a common language that allows you to compare events across different systems. A common language makes it easy to search, analyze, and report on data.

The Archon Data Store™ is a robust and secure platform built on open-source principles, tailored for archiving and managing extensive data lakes. Its compliance capabilities and small footprint facilitate large-scale data search, processing, and analysis across structured, unstructured, and semi-structured data within an organization. By merging the essential characteristics of both data warehouses and data lakes, Archon Data Store creates a seamless and efficient platform. This integration effectively breaks down data silos, enhancing data engineering, analytics, data science, and machine learning workflows. With its focus on centralized metadata, optimized storage solutions, and distributed computing, the Archon Data Store ensures the preservation of data integrity. Additionally, its cohesive strategies for data management, security, and governance empower organizations to operate more effectively and foster innovation at a quicker pace. By offering a singular platform for both archiving and analyzing all organizational data, Archon Data Store not only delivers significant operational efficiencies but also positions your organization for future growth and agility.

Create a comprehensive log management and security analytics system that streamlines compliance processes and expedites forensic investigations. Utilize robust big-data search capabilities, visualization tools, and reporting functions to identify and mitigate threats effectively. The solution can process vast amounts of data from a variety of sources, simplifying SIEM log management through SmartConnectors that gather, normalize, aggregate, and enhance data from over 480 different types. These source types encompass syslog, clickstreams, streaming network traffic, security devices, web servers, custom applications, social media, and cloud services. By leveraging ArcSight Recon’s advanced columnar database, users can execute queries significantly faster than with conventional databases, allowing for prompt and efficient analysis across millions of events. This platform supports proactive threat hunting in extensive datasets, enabling large-scale security analytics. Additionally, ArcSight Recon alleviates compliance challenges by providing resources tailored to meet regulatory standards, while its built-in reporting features significantly reduce the time needed for compliance documentation, ensuring that organizations can maintain their security posture effectively. Furthermore, the system’s user-friendly interface enhances the overall experience for security teams, making it easier to navigate and manage complex data environments.

Discover how to enhance sales growth effortlessly by utilizing automated data pipelines that connect seamlessly to data lakes or cloud storage solutions without the need for coding. This adaptable platform adheres to industry standards, enabling the integration of sales and marketing data to generate automated insights for more intelligent expansion. Eliminate the hassle and costs associated with cumbersome manual data downloads. You’ll always have a clear understanding of your expenses, only paying for the services you actually use. Empower your tools with rapid access to data that is ready for analytics. Our certified developers prioritize security by exclusively working with official APIs. You can quickly initiate data pipelines sourced from widely-used platforms. With pre-built, pre-transformed pipelines at your disposal, you can unlock crucial data from sources like Amazon Vendor Central, Amazon Seller Central, Instagram Stories, Facebook, Amazon Advertising, Google Ads, and more. The processes for data ingestion and transformation require no coding, allowing teams to swiftly and affordably harness the full potential of their data. Your information is consistently safeguarded and securely stored in a reliable, customer-controlled data destination such as Databricks or Amazon Redshift, ensuring peace of mind as you manage your data assets. This streamlined approach not only saves time but also enhances overall operational efficiency.

Today, there are more users and data outside of the enterprise than inside. This is causing the network perimeter we know to be dissolved. We need a new perimeter. One that is built in cloud and tracks and protects data wherever it goes. One that protects the business without slowing down or creating unnecessary friction. One that allows secure and fast access to the cloud and the web via one of the most powerful and fastest security networks in the world. This ensures that you don't have to compromise security for speed. This is the new perimeter. This is the Netskope Security Cloud. Reimagine your perimeter. Netskope is committed to this vision. Security teams face challenges in managing risk and ensuring that the business is not affected by the organic adoption of mobile and cloud technology. Security has been able to manage risk traditionally by using heavy-handed controls. However, today's business wants speed and agility. Netskope is changing the definition of cloud, network and data security.

SonicWall Analytics serves as a powerful management and reporting tool designed for your network infrastructure. It enables you to ensure a secure and efficient user environment while keeping operational costs in check. To effectively navigate the complexities of your network, both you and your IT teams require immediate, actionable insights into network analytics. This platform offers a comprehensive and flexible analytics engine that processes extensive raw data from numerous next-generation firewall nodes as needed. A detailed overview of your network, including user interactions, active applications, connected devices, network efficiency, and critical warnings, is available through an interactive and real-time executive dashboard. Additionally, SonicWall Analytics is cloud-native, allowing for scalability and the provision of agile cloud resources to fulfill demanding enterprise needs. It empowers you to continuously monitor and evaluate all network traffic and user actions flowing through your firewalls, ensuring you are always informed and prepared. With SonicWall Analytics, your organization can enhance its security posture and operational efficiency in an increasingly complex digital landscape.

ElastiFlow stands out as a comprehensive solution for network observability tailored for contemporary data platforms, delivering exceptional insights across various scales. This powerful tool enables organizations to attain remarkable levels of network performance, reliability, and security. ElastiFlow offers detailed analytics on network traffic flows, capturing critical data such as source and destination IP addresses, ports, protocols, and the volume of transmitted data. Such detailed information equips network administrators with the ability to thoroughly assess network performance and swiftly identify potential problems. The tool proves invaluable for diagnosing and resolving network challenges, including congestion, elevated latency, or packet loss. By scrutinizing network traffic patterns, administrators can accurately determine the root cause of issues and implement effective solutions. Utilizing ElastiFlow not only enhances an organization's security posture but also facilitates prompt detection and response to threats, ensuring adherence to regulatory standards. Consequently, organizations can achieve a more robust and responsive network environment, ultimately leading to improved operational efficiency and user satisfaction.

The Cloud Customer Certification Lab (Cloud CCL) serves as a flexible online testing platform that simulates your actual networks, configurations, topologies, and traffic patterns. By utilizing Cloud CCL, you can significantly cut costs and reduce risks associated with validating new business services, features, upgrades, and modifications before implementing them in your live network. It allows for the rapid creation of a virtualized version of your production network within a cloud setting. This platform can effectively mimic physical networks made up of virtual devices and testing tools that operate on the Junos OS. You can streamline your testing processes with minimal investment, as Cloud CCL acts as a digital equivalent to our traditional physical CCL. While we suggest using Cloud CCL for functional and control plane evaluations, the physical CCL is more suitable for testing solutions tailored to specific use cases in larger environments. Additionally, Cloud CCL is compatible with our vMX Virtual Router, vSRX Virtual Firewall, Junos Space, Juniper Secure Analytics, and a variety of leading third-party traffic generation tools, making it a comprehensive solution for your testing needs. Overall, the integration of Cloud CCL into your operations can enhance your testing capabilities and drive efficiency across your network services.

As threats continue to evolve and network infrastructures become increasingly complex, utilizing analytics is crucial for effectively securing your network. By implementing analytics, you can enhance the early detection of potential data breaches. Failing to swiftly identify breaches once they occur poses a significant challenge for organizations. Comprehensive and aggregated reporting plays a vital role in sustaining a robust security posture. It is also essential to ensure both regulatory compliance and the security of your data. Tracking key performance indicators like latency and bandwidth can be accomplished through customizable dashboards. To optimize network performance, employ real-time monitoring capabilities. Additionally, real-time tracking and tailored reporting features can help in demonstrating compliance with GDPR regulations. To uphold security while ensuring smooth and uninterrupted connectivity, it is necessary to engage in continuous analysis of a vast stream of real-time data. Rapid responses to fluctuating inputs regarding network traffic, bandwidth usage, and line integrity are imperative. This ongoing assessment is the only way to consistently gauge the effectiveness of your security strategies, ultimately safeguarding your organization against potential breaches. Regularly reviewing these analytics can also uncover insights that may enhance overall network performance.

DNIF offers a highly valuable solution by integrating SIEM, UEBA, and SOAR technologies into a single product, all while maintaining an impressively low total cost of ownership. The platform's hyper-scalable data lake is perfectly suited for the ingestion and storage of vast amounts of data, enabling users to identify suspicious activities through statistical analysis and take proactive measures to mitigate potential harm. It allows for the orchestration of processes, personnel, and technological initiatives from a unified security dashboard. Furthermore, your SIEM comes equipped with vital dashboards, reports, and response workflows out of the box, ensuring comprehensive coverage for threat hunting, compliance, user behavior tracking, and network traffic anomalies. The inclusion of a detailed coverage map aligned with the MITRE ATT&CK and CAPEC frameworks enhances its effectiveness even further. Expand your logging capabilities without the stress of exceeding your budget—potentially doubling or even tripling your capacity within the same financial constraints. Thanks to HYPERCLOUD, the anxiety of missing out on critical information is now a relic of the past, as you can log everything and ensure nothing goes unnoticed, solidifying your security posture.

Achieve comprehensive security visibility, sophisticated network traffic analysis, and immediate threat detection through enriched full-packet capture. The award-winning Symantec Security Analytics, which specializes in Network Traffic Analysis (NTA) and forensics, is now offered on an innovative hardware platform that significantly enhances storage density, flexibility in deployment, scalability, and overall cost efficiency. This new setup allows for a clear distinction between hardware and software purchases, providing the advantage of a new enterprise licensing model that gives you the freedom to deploy the solution in various ways: on-premises, as a virtual appliance, or in the cloud. With this cutting-edge hardware advancement, you can enjoy equivalent performance and increased storage capacity while utilizing up to half the rack space. Security teams are empowered to deploy the system wherever necessary within their organization and can easily adjust their deployment scale as required, all without the need to alter licenses. This not only leads to reduced costs but also simplifies the implementation process, making it more accessible for teams. The flexibility and efficiency of this system ensure that organizations can effectively manage their security needs without compromise.

Delta Lake serves as an open-source storage layer that integrates ACID transactions into Apache Spark™ and big data operations. In typical data lakes, multiple pipelines operate simultaneously to read and write data, which often forces data engineers to engage in a complex and time-consuming effort to maintain data integrity because transactional capabilities are absent. By incorporating ACID transactions, Delta Lake enhances data lakes and ensures a high level of consistency with its serializability feature, the most robust isolation level available. For further insights, refer to Diving into Delta Lake: Unpacking the Transaction Log. In the realm of big data, even metadata can reach substantial sizes, and Delta Lake manages metadata with the same significance as the actual data, utilizing Spark's distributed processing strengths for efficient handling. Consequently, Delta Lake is capable of managing massive tables that can scale to petabytes, containing billions of partitions and files without difficulty. Additionally, Delta Lake offers data snapshots, which allow developers to retrieve and revert to previous data versions, facilitating audits, rollbacks, or the replication of experiments while ensuring data reliability and consistency across the board.

One of the primary reasons security controls fail is due to improper configuration or gradual drift over time. To enhance the efficiency and effectiveness of your existing security measures, evaluate their performance in orchestration during an attack scenario. This proactive approach enables you to identify and address vulnerabilities before they can be exploited by attackers. How resilient is your organization against both known and emerging threats? Accurately identify security weaknesses with precision. Utilize the latest attack simulations encountered in real-world scenarios, leveraging the most extensive playbook available and integrating with threat intelligence solutions. Additionally, provide executives with regular updates on your risk profile and implement a mitigation strategy before vulnerabilities can be targeted. The rapidly evolving cloud landscape and its distinct security framework create challenges in maintaining visibility and enforcing cloud security measures. To ensure the protection of your critical cloud operations, validate your cloud and container security by conducting tests that assess your cloud control (CSPM) and data (CWPP) planes against potential attacks. This thorough evaluation will empower you to strengthen your defenses and adapt to the dynamic security environment.

An enterprise-level platform empowers organizations to harness sensitive data while facilitating the execution of cloud-scale, general-purpose AI tasks on encrypted information with guaranteed privacy protections. Many organizations find themselves with a wealth of confidential data that remains inaccessible due to privacy issues. Opaque Systems transforms this challenge into an opportunity by allowing secure analytics and machine learning on encrypted data sourced from multiple origins. With Opaque Systems, businesses can effectively analyze their encrypted data in the cloud using well-known tools such as Apache Spark, all while ensuring that their information remains shielded from exposure to the cloud provider in an unencrypted state. The company offers the MC2 Platform, an open-source solution that integrates a groundbreaking fusion of two essential technologies—secure hardware enclaves paired with cryptographic fortification. This innovative combination guarantees that computations remain secure, efficient, and scalable, ultimately enabling organizations to leverage their sensitive data without compromising privacy. Consequently, Opaque Systems paves the way for organizations to gain valuable insights from their data assets, fostering a new era of data-driven decision-making.

Numerous customers of Amazon Web Services (AWS) seek a data storage and analytics solution that surpasses the agility and flexibility of conventional data management systems. A data lake has emerged as an innovative and increasingly favored method for storing and analyzing data, as it enables organizations to handle various data types from diverse sources, all within a unified repository that accommodates both structured and unstructured data. The AWS Cloud supplies essential components necessary for customers to create a secure, adaptable, and economical data lake. These components comprise AWS managed services designed to assist in the ingestion, storage, discovery, processing, and analysis of both structured and unstructured data. To aid our customers in constructing their data lakes, AWS provides a comprehensive data lake solution, which serves as an automated reference implementation that establishes a highly available and cost-efficient data lake architecture on the AWS Cloud, complete with an intuitive console for searching and requesting datasets. Furthermore, this solution not only enhances data accessibility but also streamlines the overall data management process for organizations.

Leading the market, QRadar SIEM is designed to surpass adversaries through enhanced speed, scalability, and precision. As digital threats escalate and cyber attackers become more advanced, the importance of SOC analysts has reached unprecedented heights. QRadar SIEM empowers security teams to tackle current threats proactively by leveraging sophisticated AI, robust threat intelligence, and access to state-of-the-art resources, maximizing the potential of analysts. Whether you require a cloud-native solution tailored for hybrid environments, or a system that complements your existing on-premises setup, IBM offers a SIEM solution that can cater to your specific needs. Furthermore, harness the capabilities of IBM's enterprise-grade AI, which is crafted to improve the efficiency and knowledge of each security team member. By utilizing QRadar SIEM, analysts can minimize time-consuming manual tasks such as case management and risk assessment, allowing them to concentrate on essential investigations and remediation efforts while enhancing overall security posture.

XYGATE SecurityOne serves as an advanced platform for risk management and security analytics, equipped with essential tools to empower your team against potential security threats. It integrates patented contextualization technology, real-time threat detection, integrity monitoring, compliance management, privileged access oversight, and various other features into a cohesive browser-based dashboard that can be deployed either on-premise or in the cloud. By providing immediate access to threat and compliance information, SecurityOne enhances your team's ability to swiftly address risks, all while optimizing time use, improving operational efficiency, and maximizing the ROI on your security efforts. Furthermore, XYGATE SecurityOne® delivers timely security intelligence and analytics specifically for the HPE integrity NonStop server environment, focusing on the detection of NonStop-specific indicators of compromise and promptly alerting users to any suspicious activities that may arise. This proactive approach ensures a robust defense against potential vulnerabilities, making it a vital asset for organizations looking to fortify their security posture.

Safeguard your data throughout its entire lifecycle with IBM Guardium, which ensures the protection of essential enterprise information against both existing and future threats, no matter its location. Identify and categorize your data effectively while keeping a vigilant watch for potential exposures. Assess the risks and vulnerabilities that may arise, and take action to remediate and respond to any identified threats. Protect your data not just from present dangers but also from emerging challenges, including those related to AI and cryptography, by utilizing a cohesive platform. Oversee your security and compliance requirements, both on-site and in the cloud, through a flexible and integrated solution. The IBM Guardium Data Security Center comprises five key modules: IBM® Guardium® DSPM, IBM® Guardium® DDR, IBM® Guardium® Data Compliance, IBM® Guardium® AI Security, and IBM® Guardium® Quantum Safe, each designed to strengthen your data protection strategy. By leveraging these modules, organizations can enhance their overall data security framework while effectively managing compliance across various environments.

Kryptowire delivers a suite of SaaS solutions that focus on enhancing the security of mobile applications. The company provides tools for assurance and anti-piracy measures, alongside security analytics for marketplaces and protection of mobile brands. Serving commercial clients worldwide, Kryptowire employs automated systems to detect vulnerabilities, compliance issues, and back-doors, whether they result from oversight or intent. Their technology conducts comprehensive security evaluations of all mobile applications across various devices used by employees within an organization. With options for cloud-based or on-premise deployment, they emphasize the privacy of user and enterprise data by not collecting any. Additionally, they perform rigorous testing on third-party libraries, ensuring thorough validation of mobile and IoT firmware security in accordance with the highest standards set by the government and industry. By using Kryptowire’s solutions, businesses can significantly improve their mobile security posture and maintain compliance in a rapidly evolving digital landscape.

The NetWitness Platform integrates advanced SIEM and threat defense tools, providing exceptional visibility, analytical power, and automated response functions. This integration empowers security teams to enhance their efficiency and effectiveness, elevating their threat-hunting capabilities and allowing for quicker investigations and responses to threats throughout the organization’s entire infrastructure, whether it is located in the cloud, on-premises, or virtual environments. It offers the crucial visibility necessary for uncovering complex threats concealed within today’s multifaceted hybrid IT ecosystems. With its capabilities in analytics, machine learning, orchestration, and automation, analysts can more swiftly prioritize and probe into potential threats. The platform is designed to identify attacks in a significantly shorter time frame compared to other solutions and links incidents to reveal the comprehensive scope of an attack. By gathering and analyzing data from multiple capture points, the NetWitness Platform significantly speeds up the processes of threat detection and response, ultimately enhancing the overall security posture. This robust approach ensures that security teams are always a step ahead of evolving threats.

Utilize ContraForce to streamline investigation workflows across multiple tenants, automate the remediation of security incidents, and provide outstanding managed security services. Achieve cost-effectiveness through scalable pricing while ensuring high performance tailored to your operational requirements. Enhance the speed and scale of your current Microsoft security infrastructure with effective workflows, integrated security engineering tools, and advanced multi-tenancy features. Benefit from response automation that adjusts to the context of your business, offering comprehensive protection for your clients from endpoints to the cloud, all without the need for scripting, agents, or coding. Centrally manage various Microsoft Defender and Sentinel customer accounts, along with incidents and cases from other XDR, SIEM, and ticketing systems. Experience a consolidated investigation platform where all your security alerts and data are accessible in one place. With ContraForce, you can seamlessly conduct threat detection, investigations, and response workflows in a unified environment, enhancing the overall efficiency and effectiveness of your security operations.

WHY DEVO Devo Data Analytics Platform. Get full visibility through cloud-scale, central log management. Say goodbye to compromises and constraints. The new generation of log management, analytics and data management will power operations teams. Machine data is required to improve visibility, transform SOC and achieve enterprise-wide business goals. You need to keep up with the ever-increasing data volumes while not breaking the bank. No ninjas needed. Re-architecting is dead. Devo grows with you, exceeding even the most demanding requirements without you having to manage clusters or indexes or be restricted by unreasonable limits. In a matter of minutes, you can easily add massive new datasets. Easily grant access to hundreds of new users. Your teams' needs will be met year after year, petabyte after petabyte. SaaS that is agile and cloud-native Lift-and-shift cloud architectures just don't cut it. They all suffer the same performance