Alternatives to Amazon Detective

Log360 is a SIEM or security analytics solution that helps you combat threats on premises, in the cloud, or in a hybrid environment. It also helps organizations adhere to compliance mandates such as PCI DSS, HIPAA, GDPR and more. You can customize the solution to cater to your unique use cases and protect your sensitive data. With Log360, you can monitor and audit activities that occur in your Active Directory, network devices, employee workstations, file servers, databases, Microsoft 365 environment, cloud services and more. Log360 correlates log data from different devices to detect complex attack patterns and advanced persistent threats. The solution also comes with a machine learning based behavioral analytics that detects user and entity behavior anomalies, and couples them with a risk score. The security analytics are presented in the form of more than 1000 pre-defined, actionable reports. Log forensics can be performed to get to the root cause of a security challenge. The built-in incident management system allows you to automate the remediation response with intelligent workflows and integrations with popular ticketing tools.

Splunk AppDynamics is a comprehensive observability and security platform designed to optimize hybrid and on-prem applications. Unlike siloed monitoring tools, it connects application performance to measurable business outcomes such as revenue, conversions, and operational efficiency. The solution empowers teams to track critical business transactions like logins, shopping cart activity, and order processing, providing real-time visibility into bottlenecks. With AI-powered anomaly detection and root cause analysis, it ensures that performance issues are identified quickly and accurately. AppDynamics extends beyond performance monitoring by securing applications at runtime, blocking threats, and exposing vulnerabilities before they escalate. Its specialized support for SAP environments enables rapid issue detection, tracing down to ABAP code or database queries. Digital Experience Monitoring adds a customer-focused lens, offering web, mobile, and synthetic insights into user journeys. By combining business performance analytics, runtime security, and full-stack observability, Splunk AppDynamics helps organizations maximize reliability and deliver superior digital experiences.

Track deductions, identify root causes and collaborate with partners to hold everyone accountable. Supply chain exceptions are not uncommon. They are not worth wasting time and money. Your team should be able to seamlessly work with suppliers and carriers to find and close gaps. Track Key Issues & Values at Risk Analyze Root Causes & Resolutions Work with Suppliers & Partners. Direct Actions to resolve Incidents. Assign to internal or external users. Set due dates & get reminders. Elementum is the company behind the cloud-native supply chain management platform. Elementum is the company behind the first cloud-native supply chain automation platform. Customers expect instant gratification and success in operations must be able to adapt quickly to unexpected events. Elementum's platform centralizes data and communication to enable rapid resolution of incidents and cross-ecosystem execution. It also ensures products are available at the correct time, place and cost.

Amazon DevOps Guru leverages machine learning technology to enhance the operational efficiency and reliability of applications. This service identifies unusual behaviors that stray from standard operational patterns, allowing teams to pinpoint potential operational errors before they impact users. By utilizing machine learning models informed by years of data from Amazon.com and AWS Operational Excellence, DevOps Guru can recognize anomalous behaviors in applications, such as spikes in latency, rising error rates, and resource constraints. Furthermore, it plays a crucial role in spotting significant errors that may lead to service disruptions. Upon detecting a critical issue, DevOps Guru promptly issues an alert and supplies a comprehensive summary of the associated anomalies, potential root causes, and contextual information regarding the timing and location of the problem, thereby facilitating quicker resolution and minimizing downtime. This proactive approach not only helps maintain service quality but also empowers teams to respond effectively to incidents.

Amazon GuardDuty serves as a proactive threat detection solution that consistently observes for harmful activities and unauthorized actions to safeguard your AWS accounts, workloads, and data housed in Amazon S3. While the cloud facilitates the effortless collection and aggregation of both account and network activities, security teams often find it labor-intensive to continuously sift through event log data in search of potential threats. GuardDuty offers a smart and budget-friendly alternative for ongoing threat detection within the AWS environment. Utilizing machine learning, anomaly detection, and built-in threat intelligence, this service effectively identifies and ranks potential threats. It scrutinizes tens of billions of events across various AWS data sources, including AWS CloudTrail event logs, Amazon VPC Flow Logs, and DNS logs. Enabling GuardDuty requires just a few clicks in the AWS Management Console, and there is no need to deploy or manage any software or hardware. This streamlined process allows organizations to focus more on their core activities, knowing that their cloud infrastructure is being continuously monitored for security risks.

Equip your engineers with AI technology to swiftly identify, analyze, and address quality concerns in a fraction of the time. With advanced AI capabilities, potential issues are detected and contextualized the moment a trend is noticed from customer interactions. This allows your team to tackle intricate challenges rather than getting bogged down in tedious manual data analysis. By fostering collaboration and visibility across different geographical regions and departments, your team can comprehensively grasp the entirety of a developing problem. Moreover, with automated detection and prioritization of issues, your team can concentrate on uncovering root causes and deploying effective solutions, ultimately enhancing customer satisfaction and boosting profitability in the process. In this way, the integration of AI not only streamlines workflows but also elevates the overall performance of your organization.

Manage and view your security alerts from a central location while automating security assessments. AWS Security Hub provides an all-encompassing perspective on your security alerts and overall security standing across various AWS accounts. You have access to a variety of robust security tools, including firewalls, endpoint protection solutions, and scanners for vulnerabilities and compliance. This often results in your team navigating between multiple tools to address the numerous security alerts that can reach into the hundreds or even thousands each day. With Security Hub, you have a unified platform that collects, categorizes, and prioritizes your security findings from numerous AWS services like Amazon GuardDuty, Amazon Inspector, Amazon Macie, AWS Identity and Access Management (IAM) Access Analyzer, and AWS Firewall Manager, in addition to offerings from AWS Partner solutions. AWS Security Hub also ensures your environment is under constant surveillance by executing automated security checks based on established AWS best practices and recognized industry standards. This streamlined approach not only enhances efficiency but also significantly improves your overall security management.

Small Hours serves as an AI-driven observability platform designed to diagnose server exceptions, evaluate their impact, and direct them to the appropriate personnel or team. You can utilize Markdown or your current runbook to assist our tool in troubleshooting various issues effectively. We offer seamless integration with any stack through OpenTelemetry support. You can connect to your existing alerts to pinpoint critical problems swiftly. By linking your codebases and runbooks, you can provide necessary context and instructions for smoother operations. Rest assured, your code and data remain secure and are never stored. The platform intelligently categorizes issues and can even generate pull requests as needed. It is specifically optimized for enterprise-scale performance and speed. With our 24/7 automated root cause analysis, you can significantly reduce downtime while maximizing operational efficiency, ensuring your systems run smoothly at all times.

Sets up quickly and operates from day one to enhance the productivity of analysts, identify genuine incidents, and facilitate swift responses. Radiant’s AI-driven SOC co-pilot simplifies and automates monotonous tasks within the SOC, thereby increasing productivity, revealing actual attacks through thorough investigations, and allowing analysts to act more efficiently. It automatically evaluates all components of suspicious alerts with the help of AI, subsequently selecting and executing a range of tests to ascertain whether an alert is harmful. Every malicious alert is scrutinized to understand the root causes of the detected problems and to outline the entire scope of the incident, including all impacted users, machines, applications, and more. By integrating diverse data sources such as email, endpoint, network, and identity, it tracks attacks comprehensively, ensuring that nothing slips through the cracks. Furthermore, Radiant develops a tailored response strategy for analysts, based on the specific needs for containment and remediation identified during the analysis of incident impacts. This process not only enhances the security posture but also empowers teams to respond with greater confidence and effectiveness.

SellerQI is an innovative solution crafted to assist Amazon sellers in effortlessly enhancing and expanding their businesses. Utilizing AI-powered insights, SellerQI streamlines the analysis and scaling of your Amazon store, making it more efficient. Through its root cause analysis feature, the tool pinpoints the fundamental challenges impacting your sales, enabling you to address performance issues rapidly. A key highlight of SellerQI is its extensive listing optimization capabilities, which enhance product listings by recommending keyword adjustments, refining descriptions, and ensuring that listings achieve peak visibility and conversion rates. Additionally, it features intelligent PPC management that identifies and minimizes unnecessary ad spend while optimizing your advertising budget. Furthermore, SellerQI automates the identification of new opportunities by analyzing data trends, while also offering competitive intelligence monitoring to help you maintain an edge over your rivals. This comprehensive approach ensures that sellers not only respond to current challenges but also proactively seek growth avenues.

Amazon Macie is an entirely managed service focused on data security and privacy that leverages machine learning and pattern recognition to locate and safeguard sensitive information within AWS. As organizations grapple with the increasing amounts of data they generate, the task of identifying and securing sensitive information can become more complex, costly, and labor-intensive. By automating the process of discovering sensitive data at scale, Amazon Macie helps reduce the financial burden associated with data protection. It generates an inventory of Amazon S3 buckets, highlighting unencrypted buckets, those that are publicly accessible, and those shared with AWS accounts outside your designated AWS Organizations. Additionally, Macie utilizes machine learning and pattern matching methods on the selected buckets to pinpoint and notify you about sensitive data, including personally identifiable information (PII), ensuring that your organization remains compliant and secure. Furthermore, by streamlining this process, Macie enables businesses to focus more on their core operations while maintaining robust data security practices.

You can quickly and easily examine machine data to identify the root cause of IT problems faster. Log aggregation, filtering, filtering, alerting, and tagging are all part of this intuitive and powerfully designed system. Integrated with Orion Platform products, it allows for a single view of IT infrastructure monitoring logs. Because we have experience as network and system engineers, we can help you solve your problems. Log data is generated by your infrastructure to provide performance insight. Log Analyzer log monitoring tools allow you to collect, consolidate, analyze, and combine thousands of Windows, syslog, traps and VMware events. This will enable you to do root-cause analysis. Basic matching is used to perform searches. You can perform searches using multiple search criteria. Filter your results to narrow down the results. Log monitoring software allows you to save, schedule, export, and export search results.

FortiNDR effectively detects ongoing cybersecurity threats by analyzing unusual network behavior, which accelerates the investigation and response processes to incidents. This solution offers comprehensive protection across the network lifecycle, combining detection and response capabilities. Utilizing AI, machine learning, behavioral analytics, and human insight, it scrutinizes network traffic to help security teams recognize malicious activities and take swift action against them. FortiNDR excels in providing in-depth analysis of network traffic and files, determining the root causes of incidents, and assessing their scope, all while equipping users with the necessary tools to address these threats promptly. One of its standout features is the Virtual Security Analyst, designed to pinpoint harmful network activities and files, allowing for the immediate identification of complex threats, such as zero-day vulnerabilities. Additionally, FortiNDR Cloud enhances security measures by merging machine learning and AI with human expertise to bolster overall security and minimize false alarms. The expertise of seasoned threat researchers at FortiGuard Labs plays a crucial role as they monitor the activities of cybercriminals, conduct reverse engineering, and continually refresh detection protocols to stay ahead of emerging threats. This ongoing effort ensures that organizations can react effectively and maintain robust defenses against various cyber risks.

IBM® Z® Operations Analytics is a powerful tool designed to facilitate the searching, visualization, and analysis of extensive structured and unstructured operational data within IBM Z environments, encompassing log files, event records, service requests, and performance metrics. By utilizing your analytics platform alongside machine learning, you can enhance enterprise visibility, pinpoint workload issues, uncover hidden challenges, and expedite root cause analysis. Machine learning aids in establishing a baseline of typical system behavior, enabling the detection of operational anomalies efficiently. Additionally, you can identify nascent issues across various services, allowing for proactive alerts and cognitive adjustments to evolving conditions. This tool offers expert recommendations for corrective measures, enhancing overall service assurance. Furthermore, it helps in spotting atypical workload patterns and reveals common problems that may be obscured in operational datasets. Ultimately, it significantly diminishes the time needed for root cause analysis, thereby capitalizing on the extensive domain knowledge of IBM Z and applying its insights effectively within your analytics framework. By harnessing these capabilities, organizations can achieve a more resilient and responsive operational environment.

Gain comprehensive insight into your cloud-native and distributed applications, encompassing everything from microservices to serverless setups, allowing for swift identification and resolution of underlying issues. Effortlessly integrate Application Performance Management (APM) to automatically detect anomalies, visualize service dependencies, and streamline the investigation of outliers and unusual behaviors. Enhance your application code with robust support for widely-used programming languages, OpenTelemetry, and distributed tracing methodologies. Recognize performance bottlenecks through automated, curated visual representations of all dependencies, which include cloud services, messaging systems, data storage, and third-party services along with their performance metrics. Investigate anomalies in detail, diving into transaction specifics and various metrics for a more profound analysis of your application’s performance. By employing these strategies, you can ensure that your services run optimally and deliver a superior user experience.

Uncover the potential recovery amount available to you through our complimentary, no-commitment account assessment. Our certified recovery experts will diligently determine the underlying issues, handle disputes, and monitor recoveries, allowing you to concentrate on expanding your business. There’s no need for a separate dashboard; with ChargeGuard insights, you’ll have visibility into which disputes are still pending, those that have been denied, and those that received approval. Additionally, you will be able to see total counts, types of chargebacks, their financial implications, and much more. ChargeGuard provides the simplest and most efficient solution for recouping historical Amazon deductions while safeguarding against future fees. Our pricing model is straightforward: if we fail to recover deductions on your behalf, there’s no cost to you. Conversely, when we successfully identify deductions, we charge a standard commission based on the amount recovered. With our expertise, you can reclaim up to 99% of fees associated with chargebacks, shortages, and overbilling, positioning yourself with the top authorities in Amazon 1st party vendor cost recovery. Enhance your profitability today with our state-of-the-art management of Amazon deductions, ensuring your business thrives in a competitive marketplace.

Expertune PlantTriage stands out as an award-winning PID tuning software, crafted by a team boasting extensive expertise in controls spanning hundreds of years. This innovative tool continuously observes your plant, swiftly pinpointing issues as they arise. It evaluates and ranks information based on both technical and economic considerations, assisting in uncovering the root causes of problems while offering a comprehensive suite of analytical tools aimed at addressing them effectively. With round-the-clock surveillance, Expertune PlantTriage diligently monitors processes every day of the year, detecting issues in real time. It quickly highlights control loops that significantly influence business profitability, production efficiency, reliability, and overall quality. Leveraging a Big Data methodology, the root cause identification feature expedites the discovery of the underlying reasons for disruptions. Additionally, through Active Model Capture Technology, it enables automatic tuning of control loops for peak performance, achieving optimal settings in mere minutes and simulating the precise response characteristics desired. In summary, Expertune PlantTriage not only enhances operational efficiency but also empowers organizations to maintain high-quality standards.

Organizations need more than error detection—they need complete visibility into their HR data health. PCLnXAI's Unified HR Data Observability Platform delivers true HR data observability and governance across your entire HR ecosystem, with patent-pending Payroll Root Cause Analysis as a core capability. We prevent HR data issues, payroll leakage and ensure compliance—all regardless of which HCM system you use. Platform-Agnostic Integration Works seamlessly with Oracle HCM, Workday, SAP SuccessFactors, ADP, and other HR systems. We interact with your integration layer to provide deep insights while maintaining complete security and data isolation. Proven Impact Our clients prevent $980K+ in payroll errors while cutting resolution time from weeks to days. Comprehensive Capabilities Complete Visibility of HR Data Issues with Root Causes: Uncover discrepancies across payroll, deductions, compliance, and costing—then identify exactly why they occurred with detailed root cause analysis. Advanced Root Cause Analysis: Patent-pending Payroll RCA delivers "why it happened" with risk levels and recommended remediation—eliminating guesswork. HR Data Governance & Compliance: Proactive policy enforcement, continuous union compliance monitoring, and automated, audit-ready documentation. Preventive Monitoring: Pre-run validation catches issues before payroll processing, not after. For HR and Payroll Leaders at mid-market to Fortune 1000 organizations managing complex HR operations and seeking a single source of truth for their HR data. Request demo to see how we deliver complete HR data observability across your entire HR ecosystem.

CySight’s revolutionary Actionable Intelligence, trusted by Fortune 500 globally, enables organizations with the most cost-effective and secure way to tackle the increasing density, complexity, and expanse of modern physical and cloud networking. Deploying cyber network intelligence, CySight empowers network and security teams to substantially accelerate incident response by eliminating blindspots, analyzing network telemetry to discover anomalies, uncover cyber-threats, and quantifying asset usage and performance. CySight’s Dropless Collection method enables unsurpassed visibility of network Big-Data which is retained in the smallest footprint, accelerating machine learning, artificial intelligence and automation to fully utilize all metadata no matter the amount, size, or type.

Descriptive analytics involves the preparation and examination of past data to uncover patterns that can be reported as trends. In contrast, predictive analytics seeks to identify connections within the data that might not be obvious through descriptive methods. This process significantly shortens the timeframe needed to provide essential information for security and compliance audits. Additionally, implementing an automated database health check can assess performance over time, allowing for in-depth investigation to identify underlying issues effectively. This comprehensive approach not only enhances operational efficiency but also bolsters overall data integrity management.

Intact Analytics is the only tool that can be used to analyze audit data. It combines both traditional Business Intelligence and Artificial Intelligence to provide clarity to complex data sets, identify root causes and improve risk-based planning and decision making. The audit analytics tool gives you easy-to-read dashboards that include all your key metrics. Our automated anomaly detection allows you to quickly identify root causes and risks. For risk-based planning, and optimization, you can predict future audit results. Find the hidden information in your audit data to answer business-critical queries, make goal-oriented decision, and conquer your greatest challenges. Analyze all audits, not just random ones Get more important audit results in a shorter time Identify root causes and risk factors Reduce risk-based audit planning Protect the safety and integrity products and services

Gravwell is an all you can ingest data fusion platform that allows for complete context and root cause analysis for security and business data. Gravwell was created to provide machine data benefits to all customers, large or small, binary or text, security or operational. An analytics platform that can do things you've never seen before is possible when experienced hackers team up with big data experts. Gravwell provides security analytics that go beyond log data to industrial processes, vehicle fleets, IT infrastructure or all of it. Do you need to track down an access breach? Gravwell can run facial recognition machine-learning against camera data to identify multiple subjects who enter a facility with one badge-in. Gravwell can also correlate building access logs. We are here to help people who require more than text log searching and want it sooner than they can afford.

Sensai offers a cutting-edge AI-driven platform for detecting anomalies, performing root cause analysis, and forecasting issues, which allows for immediate problem resolution. The Sensai AI solution greatly enhances system uptime and accelerates the identification of root causes. By equipping IT leaders with the tools to effectively manage service level agreements (SLAs), it boosts both performance and profitability. Additionally, it automates and simplifies the processes of anomaly detection, prediction, root cause analysis, and resolution. With its comprehensive perspective and integrated analytics, Sensai seamlessly connects with third-party tools. Users benefit from pre-trained algorithms and models available from the outset, ensuring a swift and efficient implementation. This holistic approach helps organizations maintain operational efficiency while proactively addressing potential disruptions.

Presage Analytics enhances the management of safety and quality by providing an all-encompassing system that handles micro and chemistry testing, ingredient reception and examination, sanitation scheduling, batch oversight, equipment calibration, and additional functionalities. All findings are stored with robust security measures. Furthermore, our platform empowers you to proactively detect and resolve potential challenges within your safety and quality data. Designed for effectiveness, Presage aids in recognizing trends and offers in-depth insights into your facility's operations, including identifying root-cause relationships to foresee when problems may arise. This allows for prompt real-time corrective measures to be implemented. With a variety of features aimed at safeguarding both you and your staff, Presage Analytics includes capabilities such as real-time surveillance, security notifications, work order administration, and personalized dashboard reporting. This comprehensive approach ensures that all aspects of safety and quality management are not only monitored but also optimized for better productivity and compliance.

Our platform equips both agents and customers with automated diagnostics for home networks, along with straightforward troubleshooting guidance, allowing them to pinpoint the cause of WiFi connectivity problems and achieve a solution on their first attempt. The RouteThis Discovery App utilizes the user's mobile device to gather comprehensive data about the configuration and environment of the home network, enabling it to automatically detect the underlying issues causing potential WiFi disruptions. In addition, the RouteThis Dashboard serves as a centralized tool that grants agents immediate access to the customer's home network status, providing clear instructions to address the identified issues and enabling remote resolution capabilities. Furthermore, as a component of the RouteThis Discovery App, RouteThis Self-Help offers customers detailed, step-by-step guidance to tackle specific problems identified within their home networks, ensuring a more user-friendly experience. This combination of features not only enhances efficiency but also significantly improves customer satisfaction by fostering quicker resolutions.

Longbow streamlines the evaluation and correlation of challenges identified by Application Security Testing (AST) tools, effectively bridging the divide between security personnel and remediation teams while suggesting optimal actions to minimize risk with minimal investment. Positioned at the cutting edge of automating the assessment and prioritization of security vulnerabilities and remediations, Longbow extends its capabilities beyond AST tools to encompass VM, CNAPP tools, and beyond. Our platform is adept at pinpointing and addressing the fundamental sources of security vulnerabilities, delivering customized remediation options that can be promptly implemented. This functionality is essential in a landscape overwhelmed by various vendor solutions and an unclear roadmap for tackling security issues. By empowering security, application, and DevOps teams, our product enhances their ability to address risks efficiently on a larger scale. Furthermore, we integrate, normalize, and consolidate cross-service contexts across all your cloud security tools, ensuring a cohesive approach to security management. This holistic strategy not only enhances operational efficiency but also fosters a more resilient security posture.

Riverbed NPM+ is a cloud-based service that gathers decrypted packet information from every user and server endpoint. This innovative solution addresses visibility challenges posed by encrypted tunnels in both remote work scenarios and cloud-native frameworks. Utilizing an agent-based deployment strategy provides adaptability, ease of use, and the capacity to scale. By harnessing AI for network observability, Riverbed makes significant advancements in rapid issue identification and improved service reliability. The platform features intelligent, interactive workflows that facilitate root cause analysis, diagnostics, and resolution processes for network teams. As organizations face the intricacies of varied architectures, shifting workloads, remote work dynamics, and growing security concerns, the demand for effective network observability tools has never been greater. Riverbed's latest offerings effectively tackle these pressing challenges. Embrace the full potential of your digital investments and enhance your network's performance with Riverbed's comprehensive solutions, ensuring your organization stays ahead in a competitive landscape.

In the vast landscape of cloud vulnerabilities, only a limited number lead to actual attacks in the real world, making it essential to pinpoint this critical subset for effective cloud security. Even the most committed security teams can encounter challenges in managing these vulnerabilities. It's important to note that the existence of a vulnerability, whether in an exposed asset or listed in the KEV database, doesn’t necessarily signify its critical nature. By smoothly integrating your cloud environment, you can quickly obtain an in-depth overview of your security posture. With our comprehensive attack chain analysis, you will immediately identify areas requiring your focus. Averlon conducts an extensive graph analysis of your cloud, examining assets, network connections, access controls, and potential issues, allowing you to concentrate on the elements that pose the greatest risk. Furthermore, Averlon is instrumental in continuously monitoring your cloud infrastructure to detect potential real-world threats. By streamlining alerts into actionable root cause analysis and providing targeted remediation suggestions, Averlon significantly reduces the time required to address vulnerabilities, ensuring a more secure cloud environment. Ultimately, this proactive approach not only enhances security but also empowers teams to respond swiftly and effectively to emerging threats.

StackPilot is a next-generation incident response solution designed to reduce engineering toil and accelerate bug resolution. Acting as an AI-powered copilot, it plugs into your monitoring and logging ecosystem to immediately act on alerts. When issues occur, StackPilot cross-references code commits, stack traces, and system data to identify root causes with precision. It then auto-generates a pull request containing a recommended fix, saving engineers countless hours of manual debugging. Beyond incident resolution, the platform builds real-time incident timelines and turns troubleshooting steps into standardized runbooks for future use. Setup takes just minutes, requiring only a GitHub and monitoring tool connection. The platform is built with privacy-first principles—your data never leaves your environment and is not used for AI training. Teams using StackPilot benefit from reduced mean time to resolution (MTTR), stronger reliability, and higher developer productivity.

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.

Shield34 stands out as the sole web automation framework that ensures complete compatibility with Selenium, allowing users to seamlessly continue utilizing their existing Selenium scripts while also enabling the creation of new ones through the Selenium API. It effectively tackles the notorious issue of flaky tests by implementing self-healing technology, intelligent defenses, error recovery protocols, and dynamic element locators. Furthermore, it offers AI-driven anomaly detection and root cause analysis, which facilitates a swift examination of failed tests to identify what changed and triggered the failure. By eliminating flaky tests, which often present significant challenges, Shield34 incorporates sophisticated defense-and-recovery AI algorithms into each Selenium command, including dynamic element locators, thereby reducing false positives and promoting self-healing alongside maintenance-free testing. Additionally, with its real-time root cause analysis capabilities powered by AI, Shield34 can swiftly identify the underlying reasons for test failures, minimizing the burden of debugging and the effort required to replicate issues. Ultimately, users can relish a more intelligent version of Selenium, as it effortlessly integrates with your existing testing framework while enhancing overall efficiency.

Ansys PathFinder-SC serves as a robust and scalable solution designed to facilitate the planning, verification, and approval of IP and full-chip SoC designs, ensuring their integrity and resilience against electrostatic discharge (ESD). This innovative tool effectively identifies and isolates the underlying sources of design problems that could lead to chip failures due to charged-device model (CDM), human body model (HBM), or various ESD incidents. With its cloud-native architecture capable of harnessing thousands of compute cores, PathFinder-SC significantly accelerates full-chip turnaround times. Endorsed by leading foundries for current density assessments and ESD approval, it stands out as a reliable choice in the industry. The platform's comprehensive data modeling, extraction, and transient simulation engine provides an all-encompassing solution for ESD verification. Utilizing a single-pass model, it seamlessly reads industry-standard design formats, establishes ESD rules, extracts RCs for the power network, and conducts ESD simulations to pinpoint root causes while offering repair and optimization suggestions, all consolidated within one powerful tool. This streamlined process not only enhances efficiency but also reduces the time-to-market for critical design projects.

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.

Identify the key issues that impact online sales, site abandonment, or user satisfaction. Webeyez analyzes real user data in real time to assist sales and marketing teams in identifying technical issues that could impact online revenue. Get automatic alerts. You will be notified immediately if something isn't working and how much it is costing you to minimize revenue loss. Webeyez created a site score to help e-commerce and product managers understand the technical status of their webshops without any technical knowledge. Webeyez uses Artificial Intelligence to generate a high-level score for their site. This score provides a snapshot of the major technical issues that impact sales. The score is calculated by adding together goal success rates, goal durations, critical paths, page loads times, server and network times, and other factors. Our algorithm detects anomalies and alerts for drops in score and identifies the root cause.

IBM Z Anomaly Analytics is a sophisticated software solution designed to detect and categorize anomalies, enabling organizations to proactively address operational challenges within their environments. By leveraging historical log and metric data from IBM Z, the software constructs a model that represents typical operational behavior. This model is then utilized to assess real-time data for any deviations that indicate unusual behavior. Following this, a correlation algorithm systematically organizes and evaluates these anomalies, offering timely alerts to operational teams regarding potential issues. In the fast-paced digital landscape today, maintaining the availability of essential services and applications is crucial. For businesses operating with hybrid applications, including those on IBM Z, identifying the root causes of issues has become increasingly challenging due to factors such as escalating costs, a shortage of skilled professionals, and shifts in user behavior. By detecting anomalies in both log and metric data, organizations can proactively uncover operational issues, thereby preventing expensive incidents and ensuring smoother operations. Ultimately, this advanced analytics capability not only enhances operational efficiency but also supports better decision-making processes within enterprises.

Aurea Monitor provides essential tools for system monitoring, root-cause analysis, and issue detection that enable you to operate your business in real-time. With the capability to identify and address system problems before they affect your clients, real-time monitoring is crucial. Any delays in recognizing and resolving application issues can significantly impact customer satisfaction, making timely intervention critical. Aurea Monitor enhances your capacity to spot potential weaknesses and inefficiencies in system performance, allowing for quick fixes that elevate the customer experience. It automatically identifies every system within your infrastructure related to a business process, ensuring you maintain complete visibility as modifications or enhancements occur over time. Strive for optimal performance with a goal of achieving 100% uptime. Furthermore, Aurea Monitor continuously oversees all processes, offering proactive identification of issues and alerts, enabling you to tackle and rectify problems with even greater speed. The result is not only improved efficiency but also a more reliable service for your customers.

Minimize false positives and leverage machine learning (ML) to effectively identify anomalies in business performance indicators. Investigate the underlying causes of these anomalies by clustering similar outliers together for analysis. Provide a summary of these root causes and prioritize them based on their impact. Ensure a smooth integration with AWS databases, storage services, and external SaaS platforms for comprehensive metrics monitoring and anomaly detection. Set up automated alerts and responses tailored to the detection of anomalies. Utilize Lookout for Metrics, which employs ML to both discover and analyze anomalies in business and operational datasets. The challenge of recognizing unexpected anomalies is compounded by the limitations of traditional manual methods that are prone to errors. Lookout for Metrics simplifies the detection and diagnosis of data inconsistencies without requiring any expertise in artificial intelligence (AI). Monitor irregular fluctuations in subscriptions, conversion rates, and revenue to remain vigilant about sudden market shifts, ultimately enhancing strategic decision-making capabilities. By adopting these advanced techniques, businesses can improve their overall performance management and response strategies.

Discover streamlined firewall management with Cisco Defense Orchestrator, which allows for seamless policy management across both Cisco firewalls and public cloud environments. This cloud-driven tool simplifies complex processes, enabling you to save time while safeguarding your organization against emerging threats. By centralizing your network security policies and device management, you can significantly reduce the hours devoted to repetitive security tasks by as much as 90 percent. Additionally, it allows you to refine your policies to eliminate security vulnerabilities and enhance overall security consistency. With the ability to manage security policies uniformly across Cisco Adaptive Security Appliance (ASA), Cisco Firepower, Meraki MX, and Amazon Web Services (AWS) from a single platform, you can easily analyze policies and configurations across various security devices. This capability not only helps to pinpoint errors and discrepancies but also enables you to rectify them in mere seconds, ultimately bolstering your security posture and improving device performance while ensuring that your infrastructure remains robust against potential threats.

Infiot ZETO introduces an innovative approach to providing Application assurance, Zero Trust security, and Edge intelligence through AI-driven operations, supporting a Borderless enterprise for all remote users, sites, and devices. Traditional first-generation point solutions that rely on cumbersome operations and inconsistent service levels are no longer sufficient. By ensuring secure and reliable access to enterprise and cloud resources, organizations can extend their reach to all remote users, locations, and IoT devices. The ZTNA service enhances security by allowing only authorized users access to applications instead of the entire network. With a one-click, on-demand service marketplace, deployment of services is accelerated and can be tailored to the needs of users, locations, or cloud environments via Infiot Edge Intelligence. This system not only enhances the end-user experience but also streamlines IT operations through swift root cause analysis and automated resolution of issues, paving the way for a more efficient and secure digital environment. Ultimately, Infiot ZETO empowers companies to adapt and thrive in an increasingly interconnected world.

Cornerstone data analysis software enhances the efficiency of designing experiments and exploring data while allowing users to analyze dependencies and derive actionable insights immediately and interactively, all without requiring programming skills. It facilitates an engineer-friendly approach to executing statistical tasks, freeing users from the complexities of statistical intricacies. The software enables quick detection of correlations within data, even when operating within a Big Data framework. By employing statistically optimized experimental designs, it minimizes the number of experiments needed and accelerates the overall development process. Additionally, it supports rapid identification of usable process models and root-cause analysis through exploratory and visual data examination. Structured planning, efficient data collection, and thorough result analysis further optimize the experiments conducted. Users can easily investigate the impact of noise in process variables on the corresponding responses, and the software automatically captures compact, reusable workflows for future use, making it an invaluable tool for data-driven decision-making. Ultimately, Cornerstone empowers users to streamline their data analysis and experiment processes significantly.

Lennox Hill's isoTracker Complaints Management is a cloud-based solution designed to efficiently record and handle customer complaints. This comprehensive tool empowers administrators to designate team members responsible for investigating and pinpointing the underlying causes of complaints. Additionally, isoTracker Complaints Management offers users the capability to analyze past complaints and uncover trends, facilitating the development of proactive measures to prevent future issues. By streamlining the complaints process, this solution enhances customer satisfaction and organizational responsiveness.

Quadrant integrates conventional EDR, sophisticated SIEM, ongoing monitoring, and a unique security and analytics platform into a cohesive technology and service framework that ensures comprehensive protection across various environments for your organization. The implementation process is seamless and guided, allowing your team to prioritize other important tasks. Our seasoned experts, equipped with extensive experience, are prepared to act as an extension of your workforce. We conduct in-depth investigations and analyses of incident causes, providing tailored recommendations to strengthen your security posture. Our partnership with you spans the entire process from threat detection to validation, remediation, and post-incident follow-up. Instead of waiting for issues to arise, we proactively search for threats to maintain a proactive stance. Quadrant’s diverse team of security specialists tirelessly advocates for your security, shifting from improved threat hunting to expedited response and recovery, all while ensuring open lines of communication and collaboration at every stage. This commitment to teamwork and proactive measures sets Quadrant apart as a leader in security solutions.

Real-time network anomalies can be addressed and made decisions. Flowmon's actionable information is available in cloud, hybrid, and on-premise environments. Flowmon's network Intelligence integrates SecOps and NetOps into a single solution. It is capable of automated traffic monitoring, threat detection, and provides a solid foundation for informed decision-making. Its intuitive interface makes it easy for IT professionals to quickly understand incidents and anomalies, their context, impact, magnitude and, most importantly, their root cause.

Examine the causes of failures right after the testing phase concludes. Create straightforward and easy-to-read reports for your teams. Utilize machine learning-driven auto-analyzers to delve into the reasons behind the failures. Consolidate test outcomes from different platforms, frameworks, and programming languages while delivering actionable insights. Employing machine learning algorithms helps to uncover patterns in the test data, identify the underlying causes of failures, and forecast future testing outcomes. Support the manual examination of test logs and emerging failure patterns from the latest test runs. Enable automated decision-making processes for release pipelines by adhering to defined testing criteria and outcomes. Present test results in a clear format that facilitates monitoring of trends, recognition of patterns, generation of insights, and informed business choices. Regularly assess your product's health and automate release decisions with Quality Gates to enhance efficiency and reliability. This approach not only streamlines the testing process but also significantly contributes to improving overall product quality.

To safeguard against sophisticated threats, businesses must seamlessly blend their security measures while leveraging appropriate expertise and methodologies. Trellix Helix Connect serves as a cloud-based security operations platform, empowering organizations to manage incidents from the initial alert through to resolution effectively. By gathering, correlating, and analyzing vital data, enterprises can achieve thorough visibility and understanding, thus enhancing their threat awareness significantly. The platform facilitates the easy integration of security functions, minimizing the need for costly and extensive implementation cycles. With the aid of contextual threat intelligence, organizations can make informed and prompt decisions. Employing machine learning, artificial intelligence, and integrated real-time cyber intelligence, it enables the detection of advanced threats. Furthermore, users gain essential insights into who is targeting their organization and the motivations behind such actions. This intelligent and adaptable platform not only equips businesses to anticipate and thwart emerging threats but also helps them to identify root causes and respond promptly to incidents, ensuring a resilient security posture. In a rapidly evolving threat landscape, leveraging such technology becomes crucial for proactive defense.