Alternatives to Adps AI

Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.

NeuBird AI is a Production Ops Platform designed for ITOps, SRE, and DevOps teams running production cloud environments. It uses agentic AI to move operations from reactive incident response to proactive, autonomous production management. Despite significant investment in monitoring and observability tools, teams still face alert noise, slow root cause analysis, and costly incidents. NeuBird AI solves this by continuously analyzing telemetry across cloud services, applications, and infrastructure to prevent issues, resolve incidents faster, and optimize operations. Prevent incidents before they happen NeuBird AI detects early signals of degradation, configuration drift, and anomaly patterns across metrics, logs, traces, and change events. Teams can identify and address issues 30 to 60 minutes before user impact while reducing alert noise by more than 78 percent. Resolve incidents in minutes When incidents occur, NeuBird AI automatically investigates across Azure Monitor, Amazon CloudWatch, logs, metrics, traces, and recent changes to identify root cause in minutes. AI driven triage, correlation, and runbook generation reduce mean time to resolution by up to 60 percent while minimizing the need for large war room responses or bridge calls. Optimize cost, performance, and operations NeuBird AI continuously analyzes cloud environments to uncover cost savings, performance issues, and gaps in observability. It identifies right sizing opportunities, missing telemetry, and repetitive operational tasks, helping teams reclaim more than 200 engineering hours per month. Built for production cloud operations NeuBird AI integrates with AWS services including CloudWatch, as well as Kubernetes and Azure Monitor, and tools like Datadog, Splunk, and PagerDuty.

Safetica Intelligent Data Security protects sensitive enterprise data wherever your team uses it. Safetica is a global software company that provides Data Loss Prevention and Insider Risk Management solutions to organizations. ✔️ Know what to protect: Accurately pinpoint personally identifiable information, intellectual property, financial data, and more, wherever it is utilized across the enterprise, cloud, and endpoint devices. ✔️ Prevent threats: Identify and address risky activities through automatic detection of unusual file access, email interactions, and web activity. Receive the alerts necessary to proactively identify risks and prevent data breaches. ✔️ Secure your data: Block unauthorized exposure of sensitive personal data, trade secrets, and intellectual property. ✔️ Work smarter: Assist teams with real-time data handling cues as they access and share sensitive information.

Orca Security is the pioneer of agentless cloud security that is trusted by hundreds of enterprises globally. Orca makes cloud security possible for enterprises moving to and scaling in the cloud with its patented SideScanning™ technology and Unified Data Model. The Orca Cloud Security Platform delivers the world's most comprehensive coverage and visibility of risks across AWS, Azure, Google Cloud and Kubernetes.

Identity and Data Protection for AWS and Azure, Google Cloud, and Kubernetes. Sonrai's cloud security platform offers a complete risk model that includes activity and movement across cloud accounts and cloud providers. Discover all data and identity relationships between administrators, roles and compute instances. Our critical resource monitor monitors your critical data stored in object stores (e.g. AWS S3, Azure Blob), and database services (e.g. CosmosDB, Dynamo DB, RDS). Privacy and compliance controls are maintained across multiple cloud providers and third-party data stores. All resolutions are coordinated with the relevant DevSecOps groups.

Wiz is a new approach in cloud security. It finds the most important risks and infiltration vectors across all multi-cloud environments. All lateral movement risks, such as private keys that are used to access production and development environments, can be found. You can scan for vulnerabilities and unpatched software in your workloads. A complete inventory of all services and software within your cloud environments, including version and package details, is available. Cross-reference all keys on your workloads with their privileges in your cloud environment. Based on a complete analysis of your cloud network, including those behind multiple hops, you can see which resources are publicly available to the internet. Compare your industry best practices and baselines to assess the configuration of cloud infrastructure, Kubernetes and VM operating system.

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

Stellar Cyber stands out as the sole security operations platform that delivers rapid and accurate threat detection and automated responses across various environments, including on-premises, public clouds, hybrid setups, and SaaS infrastructure. This industry-leading security software significantly enhances the productivity of security operations by equipping analysts to neutralize threats in minutes rather than the traditional timeline of days or weeks. By allowing data inputs from a wide array of established cybersecurity tools alongside its native features, the platform effectively correlates this information and presents actionable insights through a user-friendly interface. This capability addresses the common issues of tool fatigue and information overload that security analysts frequently experience, while also reducing operational expenses. Users can stream logs and connect to APIs for comprehensive visibility. Additionally, through integrations that facilitate automated responses, Stellar Cyber ensures a seamless security management process. Its open architecture design guarantees that it remains compatible across any enterprise environment, further solidifying its role as a vital asset in cybersecurity operations. This adaptability makes it a compelling choice for organizations looking to streamline their security protocols.

The Qualys TruRisk Platform, previously known as the Qualys Cloud Platform, features an innovative architecture that drives a wide range of cloud applications focused on IT, security, and compliance. With its continuous and always-active assessment capabilities, the Qualys TruRisk Platform allows for real-time, 2-second visibility into your global IT environment, regardless of the location of your assets. Coupled with automated threat prioritization, patch management, and additional response functionalities, it serves as a comprehensive security solution. Whether deployed on-premises, on endpoints, within mobile environments, in containers, or in the cloud, the platform's sensors provide constancy in visibility across all IT assets at every moment. These sensors are designed to be remotely deployed, centrally managed, and self-updating, available as either physical or virtual appliances, or as lightweight agents. By offering an integrated end-to-end solution, the Qualys TruRisk Platform helps organizations sidestep the expenses and complications related to juggling multiple security vendors, ultimately streamlining their security management strategy. This holistic approach ensures that businesses can maintain a robust security posture while focusing on their core operations.

Arctic Wolf is a cybersecurity platform that provides AI-powered protection combined with expert-led security services to help organizations manage and reduce cyber risk. At the core of its offering is the Aurora Platform, an open XDR system that unifies security operations across endpoints, cloud environments, and networks. The platform continuously monitors activity, detects threats, and enables rapid response to potential security incidents. Arctic Wolf also offers a concierge delivery model, providing organizations with ongoing guidance and support from security professionals. This approach ensures that businesses are not only equipped with technology but also have expert assistance to handle evolving threats. The platform supports a wide range of security needs, including managed detection and response, cloud security, risk management, and incident response. Arctic Wolf emphasizes proactive security by identifying vulnerabilities and mitigating risks before they lead to breaches. With extensive integrations and partnerships, it connects seamlessly with existing systems and tools. By combining automation, intelligence, and human expertise, Arctic Wolf helps organizations improve their security posture and reduce the likelihood of cyberattacks.

All data sources, including topology, monitoring, change, and observation tools, are aggregated. BigPanda's Open Box Machine Learning will combine the data into a limited number of actionable insights. This allows incidents to be detected as they occur, before they become outages. Automatically identifying the root cause of problems can speed up incident and outage resolution. BigPanda identifies both root cause changes and infrastructure-related root causes. Rapidly resolve outages and incidents. BigPanda automates the incident response process, including ticketing, notification, tickets, incident triage, and war room creation. Integrating BigPanda and enterprise runbook automation tools will accelerate remediation. Every company's lifeblood is its applications and cloud services. Everyone is affected when there is an outage. BigPanda consolidates AIOps market leadership with $190M in funding and a $1.2B valuation

PagerDuty, Inc. (NYSE PD) is a leader for digital operations management. Organizations of all sizes rely on PagerDuty to deliver the best digital experience to their customers in an ever-on world. PagerDuty is used by teams to quickly identify and solve problems and to bring together the right people to prevent future ones. PagerDuty's 350+ integrations include Slack, Zoom and ServiceNow as well as Microsoft Teams, Salesforce and AWS. This allows teams to centralize their technology stack and get a holistic view on their operations. It also optimizes processes within their toolkits.

Functions independently to manage regular alerts and actions, thereby minimizing escalations and mitigating burnout. It intelligently modifies thresholds and dashboards to proactively avert incidents and updates runbooks with each new occurrence. This efficiency can save on-call engineers as much as 20 hours weekly, allowing them to focus on development tasks. It manages all alerts, conducts root cause analysis, resolves incidents, and ensures that the on-call experience is stress-free. By automating root cause analysis and incident response, it can reduce Mean Time to Resolution (MTTR) by up to 80%. With comprehensive incident summaries and hypotheses accessible prior to logging in, users will enjoy quicker response times and significantly enhanced uptime. Getting started is quick and easy with production-ready AI that is secure and adept in utilizing all necessary production tools just like a seasoned software engineer. Additionally, it automatically maps your production environment, comprehends code, and tracks modifications seamlessly without requiring any prior training. This innovative approach not only streamlines operations but also enhances overall productivity and efficiency within the team.

Resolve production incidents and development issues with AI that understands your code, infrastructure, and telemetry — reducing MTTR by up to 80% and boosting engineering productivity by 50%. OpsWorker helps Software Developers, SREs, and DevOps Engineers reduce MTTR, resolve complex development issues, and manage high-incident environments. Through intelligent incident correlation, code-aware troubleshooting, and deep integration into your technical ecosystem, OpsWorker delivers actionable insights and autonomous remediation — ensuring resilient, high-performance operations across Kubernetes and Cloud workloads. Built as an AI SRE platform for modern AIOps, OpsWorker leverages AI Observability to analyze incidents across distributed systems, correlating signals from metrics, logs, traces, infrastructure state, and deployments to surface the most probable root cause within minutes. Designed with an EU-first approach, OpsWorker prioritizes data sovereignty, privacy, and enterprise-grade security while enabling engineering teams to investigate incidents faster and operate complex cloud-native environments with confidence. Recent platform capabilities include Resource Topology and Service Dependency mapping, giving engineers full visibility into upstream and downstream service interactions across HTTP, TCP, and gRPC workloads. OpsWorker now integrates with Grafana Alerting contact points and supports Bring Your Own LLM, allowing organizations to use their preferred AI models for investigations. Engineers can also enrich investigations with custom operational context, enabling deeper root-cause analysis for complex incidents. To reduce alert fatigue, OpsWorker delivers a Daily Diff Summary in Slack, highlighting meaningful changes in alerts and system behavior

Cleric serves as an independent AI Site Reliability Engineer (SRE) that autonomously oversees, optimizes, and repairs software infrastructure without the need for human oversight. Acting as a collaborative AI partner, it seamlessly integrates with various existing tools, such as Kubernetes, Datadog, Prometheus, and Slack, to explore and diagnose production issues. By automatically managing alerts, Cleric enables engineers to dedicate more time to development rather than routine tasks. It efficiently evaluates systems simultaneously, providing insights in mere minutes, which would typically take hours to resolve manually. When faced with unfamiliar problems, Cleric formulates hypotheses and executes real-time queries with its integrated tools, only presenting conclusions once it is confident in its findings. With each investigation, Cleric enhances its capabilities by learning from actual outcomes and incidents. By the end of the first month, Cleric is equipped to manage approximately 20–30% of on-call responsibilities, empowering your team to prioritize problem-solving over monotonous alert triage. As a result, the overall efficiency and productivity of the engineering team can significantly improve.

Hyground serves as an AI-enhanced co-pilot for DevOps and Site Reliability Engineering (SRE), functioning as a comprehensive operational intelligence platform that integrates seamlessly within the client's Kubernetes environment without any data leaving the premises. This sophisticated agent interfaces with over 21 enterprise systems to analyze incidents through various sources such as logs, metrics, traces, and Kubernetes events. Engineers can pose questions in everyday language and receive insights tailored to their specific datasets, eliminating the need to master new query languages. The AutoRCA feature transforms alert webhooks into self-sufficient root-cause analyses, providing updates directly to platforms like Slack or Teams. The investigation process initiates immediately upon alert, rather than waiting for an engineer to respond, leading customers to experience reductions in mean time to resolution (MTTR) of up to 85%. Leveraging Google's Agent Development Kit, Hyground employs a multi-agent framework that evolves by learning from the customer's infrastructure over time. Each resolved incident enhances the knowledge base, ensuring that operational runbooks remain up to date and relevant for future challenges. By facilitating real-time insights and continuous learning, Hyground empowers teams to operate more efficiently and effectively.

Sherlocks.ai operates as an autonomous AI Site Reliability Engineering (SRE) agent, tirelessly functioning around the clock to avert incidents, streamline root cause analysis, and hasten recovery processes without necessitating additional personnel. Distinct from conventional monitoring tools, Sherlocks integrates seamlessly as a cognitive ally within your Slack channels, promptly addressing alerts, and synthesizing logs, metrics, and traces from your entire infrastructure, providing context-sensitive root cause analysis in mere seconds instead of hours. Organizations utilizing Sherlocks experience a threefold increase in the speed of incident resolution, a 50% decrease in manual work, and achieve 20-30% savings on cloud expenses due to intelligent predictive scaling. The system requires no agent installation, as it effortlessly connects to your existing observability stack—such as OpenTelemetry, Prometheus, and Datadog—through a secure API. Additionally, it boasts SOC2 Type 2 certification and offers a self-hosted deployment option, ensuring comprehensive control over data management. Furthermore, the integration of Sherlocks enhances team collaboration, allowing for a more efficient response to incidents and improved operational insights.

Rootly redefines incident management with a fully integrated, AI-powered platform designed to simplify and accelerate the entire reliability workflow. From intelligent on-call management to automated incident response and retrospectives, it eliminates repetitive tasks so engineers can focus on problem-solving. The platform’s AI SRE module performs real-time root cause analysis, suggests fixes, and predicts resolution steps based on millions of real-world incidents. Through seamless integrations with Slack, Microsoft Teams, Jira, and Zoom, Rootly embeds reliability directly into team workflows. Its automation engine streamlines communication, tracking, and reporting, cutting resolution times by up to 50%. Built for scalability, Rootly adapts to teams of any size—from startups to Fortune 500 enterprises—without sacrificing simplicity. Users can also publish automated status pages to keep customers informed and reduce inbound support. With award-winning support and reliability baked in, Rootly enables organizations to strengthen uptime, operational efficiency, and engineering wellness.

Traversal is an innovative AI-driven Site Reliability Engineering (SRE) solution that functions round the clock, autonomously identifying, addressing, and even preventing production issues. It meticulously analyzes logs, metrics, traces, and your codebase to pinpoint the root causes of errors or delays, quickly highlighting the impacted areas, critical bottleneck services, and potential root causes with relevant evidence in a matter of minutes. Leveraging advancements in causal machine learning, reasoning from large language models, and intelligent AI agents, Traversal proactively resolves problems before alerts are triggered, ensuring seamless operations. Tailored for complex organizations and vital infrastructure, it accommodates diverse data types, supports bring-your-own models, and offers optional on-premises deployment for added flexibility. With its straightforward integration into existing systems requiring only read-only access—without the need for agents, sidecars, or any write operations to production—Traversal guarantees data privacy and control. By effortlessly fitting into your observability framework, it not only accelerates the resolution process but also significantly reduces downtime, further enhancing operational efficiency and reliability. Furthermore, its ability to adapt to various environments makes it a versatile asset for businesses striving for uninterrupted service delivery.

Ciroos is a platform designed to enhance Site Reliability Engineering (SRE) teams through AI integration, revolutionizing the approach to incident management by employing multi-agent AI to minimize repetitive tasks, identify anomalies promptly, and speed up both investigations and resolutions in intricate, multi-domain scenarios. This innovative AI SRE Teammate seamlessly connects with various telemetry and observability tools, ticketing systems, collaboration platforms, and cloud service providers, functioning effectively in both automated and manually initiated modes to diligently investigate alerts, link data from diverse sources, pinpoint root causes, and offer practical recommendations often prior to escalation. The AI agents within Ciroos create dynamic investigation strategies, evaluate evidence at a scale akin to human experts, and produce reports post-incident for ongoing enhancement. Additionally, the platform’s ability to correlate across different domains allows it to detect problems that affect a range of areas, including infrastructure, networking, applications, and security, thus providing a comprehensive solution for modern operational challenges. By bridging gaps in these domains, Ciroos not only streamlines workflows but also empowers teams to focus on strategic initiatives.

Deductive AI is an innovative platform that transforms the way organizations address intricate system failures. By seamlessly integrating your entire codebase with telemetry data, which includes metrics, events, logs, and traces, it enables teams to identify the root causes of problems with remarkable speed and accuracy. This platform simplifies the debugging process, significantly minimizing downtime and enhancing overall system dependability. With its ability to integrate with your codebase and existing observability tools, Deductive AI constructs a comprehensive knowledge graph that is driven by a code-aware reasoning engine, effectively diagnosing root issues similar to a seasoned engineer. It rapidly generates a knowledge graph containing millions of nodes, revealing intricate connections between the codebase and telemetry data. Furthermore, it orchestrates numerous specialized AI agents to meticulously search for, uncover, and analyze the subtle indicators of root causes dispersed across all linked sources, ensuring a thorough investigative process. This level of automation not only accelerates troubleshooting but also empowers teams to maintain higher system performance and reliability.

The Azure SRE Agent functions as an intelligent reliability assistant, aimed at streamlining site reliability engineering tasks to ensure optimal health and performance within cloud environments. It operates by continuously observing Azure resources, identifying irregularities, and leveraging AI to suggest or implement actions that minimize downtime and reduce operational burdens. By integrating seamlessly with Azure services and other external systems, it facilitates comprehensive automation of operational processes, thereby enhancing system reliability and consistency. Using a user-friendly natural-language chat interface, engineers are able to probe into incidents, receive guidance for troubleshooting, and authorize automated remediation processes prior to their implementation. Additionally, the agent scrutinizes logs, metrics, and telemetry data to expedite root cause analysis and is capable of executing preset solutions such as scaling resources or restarting services, further increasing operational efficiency. This smart assistant not only streamlines workflows but also empowers teams to focus on more strategic initiatives.

Skyhawk Security offers a comprehensive cloud breach prevention platform that is designed to continuously observe runtime activities across various public cloud ecosystems. By correlating potential threats into actionable narratives, it provides verified alerts, automates responses, and delivers remediation strategies aimed at preventing breaches from happening in the first place. Utilizing AI-powered Continuous Proactive Protection, the platform employs an Autonomous Purple Team to conduct realistic attack simulations tailored to the unique cloud infrastructure of each customer, refining detection models to keep pace with changing configurations and thereby minimizing noise and false alarms. This allows security teams to concentrate on genuine threats in real time. Additionally, it seamlessly integrates Cloud Threat Detection and Response (CDR) with alerts that are contextualized and scored for optimal tuning, facilitating swift resolutions and reducing the mean time to respond (MTTR). The platform also encompasses essential features such as Cloud Security Posture Management (CSPM) and Cloud Infrastructure Entitlement Management (CIEM) to effectively evaluate permissions and enhance overall security posture. In doing so, it empowers organizations to maintain a proactive stance against potential breaches.

Metoro serves as an AI Site Reliability Engineer tailored for Kubernetes environments, assisting Site Reliability Engineers, DevOps professionals, and software developers in managing production effectively. This innovative tool autonomously oversees both services and infrastructure to identify any issues as they emerge, subsequently diagnosing the root causes and implementing solutions by creating pull requests. Utilizing eBPF, Metoro gathers all necessary telemetry without requiring modifications to the codebase, ensuring that every container, service, and host is monitored at the kernel level in real-time. Users can effortlessly deploy Metoro into their clusters with a single helm install command, leading to a fully operational setup in approximately five minutes. Its seamless integration and rapid deployment make it an invaluable asset for teams looking to enhance their operational efficiency.

Kubernetes, cloud, and container security that closes loop from source to finish Find vulnerabilities and prioritize them; detect and respond appropriately to threats and anomalies; manage configurations, permissions and compliance. All activity across cloud, containers, and hosts can be viewed. Runtime intelligence can be used to prioritize security alerts, and eliminate guesswork. Guided remediation using a simple pull request at source can reduce time to resolution. Any activity in any app or service, by any user, across clouds, containers and hosts, can be viewed. Risk Spotlight can reduce vulnerability noise by up 95% with runtime context. ToDo allows you to prioritize the security issues that are most urgent. Map production misconfigurations and excessive privileges to infrastructure as code (IaC), manifest. A guided remediation workflow opens a pull request directly at source.

Comprehensive security throughout the entire lifecycle of containerized and serverless applications, spanning from the CI/CD pipeline to operational environments, is essential. Aqua can be deployed either on-premises or in the cloud, scaling to meet various needs. The goal is to proactively prevent security incidents and effectively address them when they occur. The Aqua Security Team Nautilus is dedicated to identifying emerging threats and attacks that focus on the cloud-native ecosystem. By investigating new cloud security challenges, we aim to develop innovative strategies and tools that empower organizations to thwart cloud-native attacks. Aqua safeguards applications from the development phase all the way to production, covering VMs, containers, and serverless workloads throughout the technology stack. With the integration of security automation, software can be released and updated at the rapid pace demanded by DevOps practices. Early detection of vulnerabilities and malware allows for swift remediation, ensuring that only secure artifacts advance through the CI/CD pipeline. Furthermore, protecting cloud-native applications involves reducing their potential attack surfaces and identifying vulnerabilities, embedded secrets, and other security concerns during the development process, ultimately fostering a more secure software deployment environment.

The swift adoption of cloud technology, combined with the intricacies of multi-cloud setups and isolated security teams, results in a significant visibility deficit for numerous organizations. Wraith effectively tackles this issue by delivering exceptional visibility and threat-hunting functionalities that span on-premise, hybrid, and multi-cloud infrastructures. With the incorporation of AI-driven anomaly detection, Wraith becomes an indispensable resource for identifying and mitigating concealed threats, thereby safeguarding cloud environments. Additionally, Wraith offers extensive visibility across various terrains, enabling security teams to oversee assets and activities across multiple Cloud Service Providers (CSPs) using a single toolset. This capability not only fosters a cohesive security framework but also accelerates threat response times in the face of diverse and intricate cloud ecosystems, making it a vital component for modern cybersecurity strategies. Ultimately, organizations can enhance their security measures and respond more effectively to emerging threats.

Streamlined and effective incident management made effortless. Featuring a beautifully intuitive interface, robust workflow automation, and seamless integrations with your current tools, prepare to experience incident management in a whole new way. We ensure a smooth transition by allowing your teams to utilize Slack and integrate effortlessly with familiar tools like Jira, Statuspage, and PagerDuty. Our system supports your teams during their most challenging moments, empowering anyone to manage incidents with assurance, facilitating organizational growth without interruption. Instantly establish consistency with our user-friendly workflow creation tools. You can automate repetitive tasks such as sending update emails to executives and compiling post-mortems, allowing you to concentrate on developing and improving exceptional products. Minimize redundancy and mitigate distractions by conducting more transparent incidents, where you can assign roles and actions, give real-time updates, and access a comprehensive overview of all ongoing incidents, ensuring everyone stays informed and engaged throughout the process. This approach not only enhances communication but also fosters a culture of accountability and efficiency within your organization.

You can instantly centralize, monitor, analyze, and report logs from any platform at any volume. Log aggregation, custom-parsing, smart alarming, role-based access controls, real time search, graphs and log analysis are all seamlessly integrated in this suite of tools. Our cloud-based SaaS solution is ready in just two minutes. It collects logs from AWS and Docker, Heroku, Elastic, and other sources. Running Kubernetes? Log in to two kubectl commands. Simple, pay per GB pricing without paywalls or overage charges. Fixed data buckets are also available. Pay only for the data that you use on a monthly basis. We are Privacy Shield certified and comply with HIPAA, GDPR, PCI and SOC2. Your logs will be protected in transit and storage with our military-grade encryption. Developers are empowered with modernized, user-friendly features and natural search queries. We save you time and money with no special training.

You can innovate faster in the cloud, improve user experience and future-proof applications. Splunk is designed for cloud-native enterprises and helps you solve current problems. Splunk helps you detect any problem before it becomes a customer problem. Our AI-driven Directed Problemshooting reduces MTTR. Flexible, open-source instrumentation eliminates lock-in. Optimize performance by seeing all of your application and using AI-driven analytics. You must observe everything in order to deliver an excellent end-user experience. NoSample™, full-fidelity trace ingestion allows you to leverage all your trace data and identify any anomalies. Directed Troubleshooting reduces MTTR to quickly identify service dependencies, correlations with the underlying infrastructure, and root-cause errors mapping. You can break down and examine any transaction by any dimension or metric. You can quickly and easily see how your application behaves in different regions, hosts or versions.

Introducing the pioneering identity-centric, cloud-native solution designed to mitigate network exposure within Kubernetes environments, while safeguarding access to data, services, and potential vulnerabilities. This innovative approach enables real-time discovery and neutralization of Kubernetes exposure, allowing organizations to prioritize their mitigation efforts effectively. By employing well-configured eBPF-based controls, it ensures that your sensitive data remains protected and secure. The principle of shared responsibility emphasizes the necessity for you to securely configure your infrastructure to limit exposure risks. Unrestricted default egress can lead to significant data breaches, highlighting the need for a robust security strategy. For cloud-first enterprises seeking to protect customer data and maintain compliance, Araali Networks delivers proactive security measures that are straightforward to manage. The self-configuring, preventive controls are particularly advantageous for smaller security teams, ensuring that data and APIs are shielded from potential intrusions. Consequently, sensitive information will experience minimal exposure and remain hidden from malicious actors, reinforcing the security posture of your organization. Ultimately, this solution guarantees that data does not leave your premises without proper authorization, safeguarding your assets from unauthorized external access.

ARMO guarantees comprehensive security for workloads and data hosted internally. Our innovative technology, currently under patent review, safeguards against breaches and minimizes security-related overhead across all environments, whether they are cloud-native, hybrid, or legacy systems. Each microservice is uniquely protected by ARMO, achieved through the creation of a cryptographic code DNA-based workload identity. This involves a thorough analysis of the distinctive code signature of each application, resulting in a personalized and secure identity for every workload instance. To thwart hacking attempts, we implement and uphold trusted security anchors within the software memory that is protected throughout the entire application execution lifecycle. Our stealth coding technology effectively prevents any reverse engineering of the protective code, ensuring that secrets and encryption keys are fully safeguarded while they are in use. Furthermore, our encryption keys remain concealed and are never exposed, rendering them impervious to theft. Ultimately, ARMO provides robust, individualized security solutions tailored to the specific needs of each workload.

Introducing the ultimate Cybersecurity platform that meets all your needs. This cloud-native, seamless, and unified solution caters to businesses of every size and scale. With proactive measures in place, you can thwart cyberattacks before they even occur. Our innovative approach is designed to disrupt the cybersecurity landscape by offering a comprehensive advanced threat detection, response, and remediation platform that operates entirely agentless. BluSapphire's solutions are crafted with a singular focus: to guarantee that you never have to endure another cyberattack or its repercussions. Utilizing the power of Machine Learning and advanced analytics, we identify malicious activities well ahead of time, while our Artificial Intelligence capabilities streamline attack triage across various data layers. By enhancing your organization’s cyber posture, we ensure that all compliance inquiries are addressed effectively. Elevate your security strategy beyond traditional XDR with a singular Cybersecurity solution that manages the entire incident lifecycle for diverse organizations. Experience accelerated cyber threat detection and response capabilities through our state-of-the-art XDR solution, ultimately safeguarding your business against future threats. Empower your organization with the tools needed to navigate the complex cybersecurity landscape confidently.

Dash0 serves as a comprehensive observability platform rooted in OpenTelemetry, amalgamating metrics, logs, traces, and resources into a single, user-friendly interface that facilitates swift and context-aware monitoring while avoiding vendor lock-in. It consolidates metrics from Prometheus and OpenTelemetry, offering robust filtering options for high-cardinality attributes, alongside heatmap drilldowns and intricate trace visualizations to help identify errors and bottlenecks immediately. Users can take advantage of fully customizable dashboards powered by Perses, featuring code-based configuration and the ability to import from Grafana, in addition to smooth integration with pre-established alerts, checks, and PromQL queries. The platform's AI-driven tools, including Log AI for automated severity inference and pattern extraction, enhance telemetry data seamlessly, allowing users to benefit from sophisticated analytics without noticing the underlying AI processes. These artificial intelligence features facilitate log classification, grouping, inferred severity tagging, and efficient triage workflows using the SIFT framework, ultimately improving the overall monitoring experience. Additionally, Dash0 empowers teams to respond proactively to system issues, ensuring optimal performance and reliability across their applications.

Safeguard business service-level agreements by utilizing dashboards that enable monitoring of service health, troubleshooting alerts, and conducting root cause analyses. Enhance mean time to resolution (MTTR) through real-time event correlation, automated incident prioritization, and seamless integrations with IT service management (ITSM) and orchestration tools. Leverage advanced analytics, including anomaly detection, adaptive thresholding, and predictive health scoring, to keep an eye on key performance indicators (KPIs) and proactively avert potential issues up to 30 minutes ahead of time. Track performance in alignment with business operations through ready-made dashboards that not only display service health but also visually link services to their underlying infrastructure. Employ side-by-side comparisons of various services while correlating metrics over time to uncover root causes effectively. Utilize machine learning algorithms alongside historical service health scores to forecast future incidents accurately. Implement adaptive thresholding and anomaly detection techniques that automatically refine rules based on previously observed behaviors, ensuring that your alerts remain relevant and timely. This continuous monitoring and adjustment of thresholds can significantly enhance operational efficiency.

Kaseya 365 delivers streamlined access to a variety of functionalities encompassing endpoint management, security, and backup solutions. These services are bundled into a single subscription, offering effortless integration and residing within the cohesive interface of IT Complete. Users can easily gain oversight and control over devices and the network infrastructure. Protecting devices and data from potential intrusions or damage is a priority, ensuring the integrity of critical data against loss, theft, or exploitation. This comprehensive approach is executed consistently and accurately, even with smaller teams. By consolidating essential components into a single, user-friendly subscription, vendor fatigue is significantly reduced. Moreover, technician efficiency sees remarkable enhancements through the utilization of workflow integrations and automation capabilities. Financially, users may experience substantial savings, with potential reductions up to 75% compared to relying on a mix of various competing solutions. Ultimately, your Kaseya 365 subscription encompasses all the necessary tools for managing, securing, backing up, and automating endpoints in your operational environment, empowering teams to work more effectively and efficiently. As a result, organizations can focus on their core tasks while benefiting from a comprehensive IT management solution.

Quickly identify and forecast outages and impairments that impact subscribers, many of which often go undetected. This process unveils the implications, sources, and underlying causes of events, allowing for prioritization and expedited fault resolution while enhancing the user experience proactively. It dynamically forecasts and identifies outages and impairments across both mobile and fixed networks, as well as in physical and virtual environments. Abnormal events that influence network performance and user satisfaction are classified, correlated, and grouped for better assessment. Fault locations are isolated, and root causes are diagnosed to enable effective, coordinated, and prescriptive measures. By consolidating and analyzing data from various source systems, it breaks down silos and provides integrated insights. Additionally, it optimizes latency, network efficiency, and service delivery through comprehensive, multi-layered anomaly detection combined with correlated analytics. The system also identifies and resolves transient degradations and recurring issues that can hinder performance, ultimately delivering a superior user experience. This proactive approach not only improves operational efficiency but also fosters customer satisfaction and loyalty.

Utilizing public cloud services can make workloads vulnerable to unique cloud-native threats that are distinct from those encountered in on-premise settings. To effectively identify and mitigate harmful actions within a cloud infrastructure, Radware offers an extensive suite of Cloud Threat Detection and Response (CTDR) functionalities. This enables organizations to recognize suspicious activities within their cloud environments while also correlating these incidents into cohesive attack narratives, effectively illustrating the sequential development of threats. By presenting this information, Radware empowers organizations to intervene and prevent incidents from escalating into significant data breaches. The platform leverages specialized Malicious Behavior Indicators (MBIs) that are specifically designed to address the unique dangers associated with cloud environments. Additionally, Radware’s capabilities extend beyond mere detection, as it systematically connects individual occurrences over time and across various threat surfaces and resources, forming a comprehensive view of potential attacks. This holistic approach not only helps in recognizing patterns but also enhances an organization's readiness to address emerging threats promptly.

Uptycs presents the first unified CNAPP and XDR platform that enables businesses to take control of their cybersecurity. Uptycs empowers security teams with real-time decision-making driven by structured telemetry and powerful analytics. The platform is designed to provide a unified view of cloud and endpoint telemetry from a common solution, and ultimately arm modern defenders with the insights they need across their cloud-native attack surfaces. Uptycs prioritizes responses to threats, vulnerabilities, misconfigurations, sensitive data exposure, and compliance mandates across modern attack surfaces—all from a single UI and data model. This includes the ability to tie together threat activity as it traverses on-prem and cloud boundaries, delivering a more cohesive enterprise-wide security posture. With Uptycs you get a wide range of functionality, including CNAPP, CWPP, CSPM, KSPM, CIEM, CDR, and XDR. Shift up with Uptycs.

Enhance your speed and security with Upwind’s cutting-edge cloud security solution. By integrating CSPM with vulnerability scanning and runtime detection & response, your security team can effectively focus on addressing the most significant risks. Upwind stands out as a revolutionary platform designed to tackle the major challenges of cloud security with ease. Utilize immediate data insights to identify genuine risks and determine the most urgent issues that need resolution. Equip your Development, Security, and Operations teams with agile, up-to-the-minute information to boost productivity and quicken response times. With Upwind's innovative behavior-based Cloud Detection and Response, you can proactively counteract emerging threats and prevent cloud-based attacks effectively. In doing so, organizations can ensure a robust security posture in the ever-evolving digital landscape.

Safeguard your SaaS applications from breaches, threats, and data leaks seamlessly. In just a few minutes, you can secure essential SaaS platforms like Workday, Salesforce, Office 365, G Suite, GitHub, Zoom, and more, using data-driven insights, vigilant monitoring, and effective remediation strategies. As businesses increasingly transition their critical operations to SaaS, security teams often struggle with a lack of cohesive visibility necessary for swift threat detection and response. They face challenges in addressing fundamental inquiries: Who has access to these applications? Who holds privileged user status? Which accounts have been compromised? Who is sharing files with external parties? Are the applications set up in accordance with industry best practices? It is crucial to enhance SaaS security measures. Obsidian provides a streamlined yet robust security solution designed specifically for SaaS applications, focusing on unified visibility, ongoing monitoring, and advanced security analytics. By utilizing Obsidian, security teams can effectively safeguard against breaches, identify potential threats, and take prompt actions in response to incidents within their SaaS environments, ensuring a comprehensive approach to security management.

Maintain a proactive stance against your AI-driven competitors by converting your threat intelligence expenditures into practical assessments. With just a click, generate scalable tests designed to evaluate anticipated control behaviors efficiently. Utilize Prelude’s robust testing framework to evaluate your security posture against emerging threats on a large scale. Identify and address vulnerabilities swiftly while ensuring comprehensive assurance throughout the process. Prelude offers the necessary testing infrastructure, automation, and integrations to establish a streamlined assurance pipeline, allowing you to confidently verify your protection against the most recent threats. This proactive approach not only enhances security but also ensures that your defenses evolve in tandem with the ever-changing threat landscape.

Combat sophisticated threats using a stealthy defense approach. ExtraHop addresses blind spots and identifies dangers that other solutions overlook. It provides the insight necessary to comprehend your hybrid attack surface thoroughly. Our top-tier network detection and response platform is specifically designed to help you navigate the clutter of alerts, disparate systems, and excessive technology, empowering you to safeguard your cloud-based future effectively. By leveraging this comprehensive solution, you can enhance your security posture and confidently tackle emerging challenges.

Runframe offers a solution for incident management and on-call scheduling specifically designed for engineering teams and is seamlessly integrated within Slack. By using the command /incident, teams can easily declare incidents, prompting Runframe to automatically create a dedicated channel, designate responders, and keep a comprehensive log of every action taken. The system also features on-call rotations paired with escalation policies that notify the appropriate individual if there is no response. To enhance operational efficiency, analytics monitor metrics like MTTR, MTTA, and on-call equity, while post-incident evaluations utilize timelines that are generated automatically for a detailed review. This ensures that teams can effectively learn from past incidents and continually improve their response strategies.

Nazar was developed to address the challenges of managing several databases across multi-cloud or hybrid settings. Fully equipped for the primary database engines, it effectively removes the necessity for juggling multiple tools. By providing a standardized and user-friendly method for establishing new servers on the platform, it significantly reduces setup time. Users can obtain a cohesive overview of their database performance on a singular dashboard, eliminating the hassle of interfacing with various tools that offer inconsistent views and metrics. The real competition lies not in the tedious setup, log tracing, or querying of data dictionaries; rather, Nazar leverages the inherent capabilities of the DBMS for monitoring, thus eliminating the need for additional agents. Furthermore, Nazar automates both anomaly detection and root-cause analysis, which leads to a decrease in mean time to resolution (MTTR) while proactively identifying issues to prevent incidents, ensuring optimal application and business performance. With its comprehensive approach, Nazar not only enhances efficiency but also empowers users to focus on strategic initiatives rather than mundane tasks.