Alternatives to IBM Operations Analytics

Epsagon allows teams to instantly visualize, understand, and optimize their microservice architectures. With our unique lightweight auto-instrumentation, gaps in data and manual work associated with other APM solutions are eliminated, providing significant reductions in issue detection, root cause analysis and resolution times. Epsagon can increase development speed and reduce application downtime.

Sematext Cloud provides all-in-one observability solutions for modern software-based businesses. It provides key insights into both front-end and back-end performance. Sematext includes infrastructure, synthetic monitoring, transaction tracking, log management, and real user & synthetic monitoring. Sematext provides full-stack visibility for businesses by quickly and easily exposing key performance issues through a single Cloud solution or On-Premise.

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.

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.

Harness the power of AI for anomaly detection and root cause analysis focused on the key metrics that impact your business. Avora employs machine learning to oversee your business metrics around the clock, promptly notifying you of critical incidents so you can respond within hours instead of waiting for days or weeks. By continuously examining millions of records every hour for any signs of unusual activity, it reveals both potential threats and new opportunities within your organization. The root cause analysis feature helps you identify the elements influencing your business metrics, empowering you to implement swift, informed changes. You can integrate Avora’s machine learning features and notifications into your applications through our comprehensive APIs. Receive alerts about anomalies, shifts in trends, and threshold breaches via email, Slack, Microsoft Teams, or any other platform through Webhooks. Additionally, you can easily share pertinent insights with your colleagues and invite them to monitor ongoing metrics, ensuring they receive real-time notifications and updates. This collaborative approach enhances decision-making across the board, fostering a proactive business environment.

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.

TrueSight Operations Management provides comprehensive performance monitoring and event management solutions. By leveraging AIOps, it continuously learns from behaviors, correlates, analyzes, and prioritizes event data, enabling IT operations teams to identify, locate, and resolve issues more rapidly. It also detects data anomalies and issues proactive alerts to address potential problems before they affect services. TrueSight Infrastructure Management is designed to identify and rectify performance issues before they disrupt business operations, as it autonomously learns the typical behavior of your infrastructure and triggers alerts only when attention is required. This focus allows IT teams to concentrate on the most critical events that affect both their operations and the overall business. Additionally, TrueSight IT Data Analytics employs machine-assisted techniques to analyze log data, metrics, events, changes, and incidents, allowing users to efficiently navigate through vast amounts of information with just one click, thus enhancing problem-solving speed. Ultimately, the integration of these solutions streamlines IT operations and improves overall service reliability.

Receive precise notifications of potential failures weeks or even months ahead by utilizing real-time information and predictive analytics. Make use of an integrated approach that includes prescriptive maintenance, root cause analysis, and RAM analysis to tackle problems at various levels, including equipment, process, and system. Efficiently implement automated Asset Performance Management solutions using minimal intervention machine learning techniques to foresee asset failures and minimize downtime across the entire plant, across systems, or in multiple sites. This proactive strategy not only enhances operational efficiency but also significantly boosts overall productivity.

Autointelli Inc, a leader in AIOps, delivers innovative solutions that revolutionize modern IT operations through a combination of automation and advanced machine learning techniques. Our focus on providing solutions has led us to create an AIOps platform designed to streamline data center automation. By utilizing the Autointelli AIOps platform, you can effectively minimize alert noise, pinpoint root issues, and reallocate your team to focus on more critical IT responsibilities. Partner with us to enhance your digital workplace experience. The Autointelli AIOps platform accelerates event correlation and seamlessly escalates complex incidents to the appropriate engineers. Furthermore, it includes a robust self-service automation feature, enabling users to design countless workflows for automation purposes. The platform's root cause analysis capability allows for the identification of core issues affecting both hardware and software. Additionally, our analytics tools are engineered to boost your business performance by gleaning valuable insights from all significant data sources, ensuring you remain competitive in a rapidly changing landscape. As technology evolves, having an intelligent AIOps solution becomes essential for sustained operational success.

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.

Arize's machine-learning observability platform automatically detects and diagnoses problems and improves models. Machine learning systems are essential for businesses and customers, but often fail to perform in real life. Arize is an end to-end platform for observing and solving issues in your AI models. Seamlessly enable observation for any model, on any platform, in any environment. SDKs that are lightweight for sending production, validation, or training data. You can link real-time ground truth with predictions, or delay. You can gain confidence in your models' performance once they are deployed. Identify and prevent any performance or prediction drift issues, as well as quality issues, before they become serious. Even the most complex models can be reduced in time to resolution (MTTR). Flexible, easy-to use tools for root cause analysis are available.

Azure Time Series Insights Gen2 is a robust and scalable IoT analytics service that provides an exceptional user experience along with comprehensive APIs for seamless integration into your current workflow or application. This platform enables the collection, processing, storage, querying, and visualization of data at an Internet of Things (IoT) scale, ensuring that the data is highly contextualized and specifically tailored for time series analysis. With a focus on ad hoc data exploration and operational analysis, it empowers users to identify hidden trends, detect anomalies, and perform root-cause investigations. Furthermore, Azure Time Series Insights Gen2 stands out as an open and adaptable solution that caters to the diverse needs of industrial IoT deployments, making it an invaluable tool for organizations looking to harness the power of their data. By leveraging its capabilities, businesses can gain deeper insights into their operations and make informed decisions to drive efficiency and innovation.

Vision is easy to implement and use, featuring a streamlined architecture that minimizes expenses while delivering action-oriented, instantaneous root cause analysis. Its software-based probes possess unlimited scalability across the network, presenting broadcasters, network operators, and content distributors with a cost-effective solution for achieving direct analytical insights at the critical last mile. By elevating content distribution reliability, Vision allows for the monitoring of more points than ever before in real-time, ensuring an unparalleled level of fault tolerance and redundancy through hot-swap backups, load balancing, and clustering. Built for continuous operation, Vision facilitates comprehensive root cause analysis, capturing video of each incident 24/7 and maintaining a time-correlated trend history. When implemented across the entire network, Vision reveals an accurate perspective on channel delivery all the way to the last mile, empowering users to make informed decisions and enhance overall performance. This innovative approach not only strengthens operational efficiency but also significantly improves service quality for end-users.

Komodor simplifies the troubleshooting process for Kubernetes, equipping you with all the essential tools to resolve issues confidently. It oversees your entire Kubernetes ecosystem, detects problems, reveals their underlying causes, and provides the necessary context for effective and independent troubleshooting. The platform automatically identifies anomalies, deployment failures, misconfigurations, bottlenecks, and various health-related issues. It enables you to recognize potential problems before they escalate and impact end-users. By utilizing pre-designed playbooks, you can enhance root cause analysis, avoid disruptive escalations, and conserve valuable developer time. Moreover, it offers clear remediation guidance that empowers every team member to act like a seasoned troubleshooting expert, fostering a more resilient operational environment. This proactive approach not only enhances team efficiency but also significantly improves overall system reliability.

Implement a comprehensive service assurance framework that incorporates automated root cause analysis via event correlation, machine learning (ML), and topology. Oracle Unified Assurance can function as an overlay to consolidate monitoring across pre-existing assurance tools or serve as an independent assurance platform. The solution is designed for seamless integration into multivendor networks and management systems, or it can be utilized in a hybrid configuration. By leveraging Oracle’s Unified Assurance solution, businesses can achieve automation in assurance processes and facilitate both assisted and fully automated closed-loop operations. This framework enables dynamic, end-to-end assurance for large-scale 5G solutions, ensuring high-quality service and enhancing customer experience through ML analytics. Streamline operations via comprehensive network and service assurance by integrating with current tools, while also making the most of existing investments with a strategic plan to optimize tools and establish a foundation for autonomous operations, ultimately leading to improved efficiency and service reliability.

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.

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.

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.

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.

The SAP Digital Manufacturing Cloud provides a comprehensive manufacturing execution system (MES) that enables the execution of processes, scenario analysis, and system integration using an efficient Industry 4.0 framework. It allows key stakeholders to gain insights into manufacturing performance at both global and plant levels through user-friendly, preconfigured analytics. By consolidating various manufacturing operations management (MOM) and automation systems, it connects multiple solutions and standard-based interfaces for streamlined data acquisition. Furthermore, it promotes ongoing business enhancement by employing advanced algorithms and machine learning to speed up root-cause analysis. As a result, businesses can meet highly individualized market demands, manage significant product variability, and enhance customer satisfaction while also preserving productivity, profitability, and quality standards. This holistic approach ultimately positions organizations to navigate the complexities of modern manufacturing more effectively.

You can gain a deeper understanding of your organization by using workforce analytics, deep-dive visualisation, org charts and reporting tools. Use machine learning to automate root cause analysis and problem detection in HR. Predict the impact and outcome of organizational changes in order to remain proactive and responsive. Modernize your organizational design by embracing continuous AI-driven design. This will help you build the future state for your organization. The business team builds a well designed organization that can scale and adapt quickly to change while retaining talent more effectively and hiring more efficiently. The finance teams can see the forecasted budgets for HR through predictive reporting.

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.

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.

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.

Integrating observability with automated orchestration enables the development of self-managed and resilient applications on a large scale. Every moment, vast amounts of data pour in from observability and monitoring systems, collecting metrics, logs, and traces from all elements of intricate and changing applications. However, the challenge remains for humans to interpret and troubleshoot this information. They find themselves in a continuous loop of addressing alerts, pinpointing root issues, and deciding on effective remediation strategies. This traditional approach has not fundamentally evolved over the decades, remaining labor-intensive, reactive, and expensive. Causely transforms this scenario by eliminating the need for human intervention in troubleshooting, as it captures causality within software, effectively bridging the divide between observability and actionable insights. For the first time, the entire process of detecting, analyzing root causes, and resolving application defects is entirely automated. With Causely, issues are detected and addressed in real-time, ensuring that applications can scale while maintaining optimal performance. Ultimately, this innovative approach not only enhances efficiency but also redefines how software reliability is achieved in modern environments.

Instant access to systems containing representative performance data is crucial. Establish and monitor weekly, monthly, and quarterly goals for representatives proactively. Automatic identification of the root causes of performance challenges or successes is essential. Designed for fast-paced managers who require quick answers rather than becoming overwhelmed by excessive dashboards, Atrium ensures that surprises from representative issues are minimized before they escalate. With the insights provided by Atrium, managers can anticipate potential challenges and address them proactively, allowing for more effective coaching and resolution instead of merely searching for problems. This platform enables timely detection and alerts for managers, operational staff, and leaders, ensuring that issues are identified early on to prevent them from developing into significant complications. Unlike complex business intelligence tools that cater to data analysts, Atrium is tailored for Sales Development Representatives, Account Executives, Account Managers, and Customer Success Managers, as well as the leaders and operational personnel who support them in their endeavors. By streamlining these processes, managers can focus on what truly matters—developing their teams and achieving outstanding results.

InsightFinder Unified Intelligence Engine platform (UIE) provides human-centered AI solutions to identify root causes of incidents and prevent them from happening. InsightFinder uses patented self-tuning, unsupervised machine learning to continuously learn from logs, traces and triage threads of DevOps Engineers and SREs to identify root causes and predict future incidents. Companies of all sizes have adopted the platform and found that they can predict business-impacting incidents hours ahead of time with clearly identified root causes. You can get a complete overview of your IT Ops environment, including trends and patterns as well as team activities. You can also view calculations that show overall downtime savings, cost-of-labor savings, and the number of incidents solved.

RTEAM is an innovative real-time platform that empowers users to effectively set up alerts and manage exceptions. The alerts serve as instant notifications for urgent issues that require prompt action across various sectors like fieldwork, operations, and dispatch. Simultaneously, exceptions are recorded in real time for subsequent review and analysis. The platform includes a structured workflow process that ensures the timely gathering of pertinent information, which significantly boosts the quality and precision of data essential for conducting root cause analyses. Key performance indicators such as response time, turnaround time, chute time, nature of the problems, and instances of transport refusals are crucial for identifying areas where training could be beneficial. Users can seamlessly monitor exceptions as they arise and assign reason codes through a user-friendly workflow. By analyzing the aggregated results, teams can identify underlying causes and devise effective action plans to address them, ultimately improving operational efficiency and service quality. This comprehensive approach facilitates continuous improvement in processes and enhances overall effectiveness.

Gisual offers outage intelligence tailored for telecom companies and service providers, eliminating the need for tedious manual processes in diagnosing and linking commercial power failures with customer complaints or network issues stemming from disrupted circuits. By subscribing to Gisual’s outage intelligence, users can receive timely alerts regarding 3rd party outages that may impact their equipment and clientele, allowing for swift diagnosis and correlation of outages within seconds. This service eradicates the need for extensive searches to determine root causes, enhancing situational awareness almost instantaneously. Users can visualize 3rd party outages on a comprehensive map or seamlessly incorporate our outage data into existing systems. Establish direct connections with the essential partners and Network Operations Centers (NOCs) you depend on. Gain access to up-to-the-minute outage intelligence that features ongoing updates, including estimated restoration times, precise outage locations, underlying causes, affected areas, and the specific customers impacted. Integrating Gisual's data into your organization is straightforward and efficient, with an average setup time of just one hour, ensuring that you can quickly leverage this critical information. With Gisual, you can enhance your operational efficiency and improve customer satisfaction.

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.

Designed for multi-unit retailers, manufacturers, pharmacies and hospitality businesses, Bindy is a cloud-based platform that helps streamline inspection workflows, identify issues and assign corrective actions to ensure compliance with brand standards. Administrators can schedule visits on a calendar and create customizable inspection checklists or forms to collect data from sites and add attachments in them for reference. Key features of Bindy include audit management, root cause analysis, data visualization, task management, collaboration and more. The software allows managers to automatically generate action plans using identified non-compliant items and designate users for each task to streamline issue resolution processes. Additionally, the built-in monitoring functionality enables supervisors to login-in and check the work progress across teams to view outstanding tasks. Bindy offers an API, which enables businesses to integrate the platform with various third-party data export applications. Pricing is available on monthly subscriptions and support is extended via FAQs, email, phone and other online measures.

Our BlackBerry® Optics, designed for cloud-native environments, deliver comprehensive visibility and on-device detection and remediation of threats throughout your organization in just milliseconds. Our endpoint detection and response (EDR) strategy effectively seeks out threats while minimizing response delays, making a crucial difference between a minor security issue and one that spirals out of control. By utilizing AI-driven security measures and context-aware threat detection rules, organizations can quickly identify security risks and initiate automated on-device responses, significantly shortening both detection and remediation times. With a unified, AI-enhanced view of all endpoint activities, businesses can achieve greater awareness and bolster their capacity for detection and response across both online and offline devices. Additionally, our platform supports threat hunting and root cause analysis through an intuitive query language and offers data retention options of up to 365 days, ensuring that teams have access to the necessary information for thorough investigations. This comprehensive approach empowers organizations to stay ahead of potential threats and maintain robust security postures.

Enhance your visibility and threat detection across the entire cloud ecosystem for applications and workloads using Oracle CASB. Utilize up-to-the-minute threat intelligence feeds along with machine learning to establish security benchmarks, recognize behavioral trends, and pinpoint risks to your cloud infrastructure. This approach helps to significantly reduce tedious and error-prone manual tasks. Effectively manage security settings in cloud applications by evaluating and consistently enforcing configurations through streamlined monitoring and automated fixes. Additionally, speed up the process of meeting regulatory requirements while ensuring uniform reporting through secure provisioning and thorough oversight of activities, configurations, and transactions. With CASB, you can detect irregularities, as well as patterns indicative of fraud and breaches, throughout your cloud applications. This comprehensive approach not only strengthens your security posture but also fosters trust in your cloud operations.

The Robust Intelligence Platform is designed to integrate effortlessly into your machine learning lifecycle, thereby mitigating the risk of model failures. It identifies vulnerabilities within your model, blocks erroneous data from infiltrating your AI system, and uncovers statistical issues such as data drift. Central to our testing methodology is a singular test that assesses the resilience of your model against specific types of production failures. Stress Testing performs hundreds of these evaluations to gauge the readiness of the model for production deployment. The insights gained from these tests enable the automatic configuration of a tailored AI Firewall, which safeguards the model from particular failure risks that it may face. Additionally, Continuous Testing operates during production to execute these tests, offering automated root cause analysis that is driven by the underlying factors of any test failure. By utilizing all three components of the Robust Intelligence Platform in tandem, you can maintain the integrity of your machine learning processes, ensuring optimal performance and reliability. This holistic approach not only enhances model robustness but also fosters a proactive stance in managing potential issues before they escalate.

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.

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.

Examine and visualize security information to swiftly uncover the underlying causes of possible security threats. Amazon Detective simplifies the process of analyzing and investigating, allowing for a quick identification of the origins of potential security concerns or unusual behaviors. By automatically gathering log data from your AWS resources, Amazon Detective employs machine learning, statistical methods, and graph theory to create an interconnected dataset that facilitates quicker and more efficient security probes. Additionally, AWS security services, such as Amazon GuardDuty, Amazon Macie, and AWS Security Hub, along with third-party security solutions, can help recognize potential security issues or alerts. These tools are invaluable for notifying you of irregularities and guiding you on how to resolve them. However, there may be instances when a security alert requires a deeper investigation, necessitating a thorough analysis of additional information to pinpoint the root cause and take appropriate action. Such comprehensive investigations can enhance your overall security posture and responsiveness to threats.

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.

Collect, merge, contextualize, consolidate, and represent data visually. Analyze the connections between cultivation factors and target results. Conduct root cause investigations to uncover practical insights for enhancement. Explore, interpret, and convey significant data trends and patterns. The Adopt agriculture management team, along with its advisory board, possesses extensive expertise in creating sophisticated agricultural analytics and managing thriving enterprises. Simplify complex data and scientific findings into a clear and comprehensible score. Adopt is actively working on the data necessary to revolutionize the agricultural supply chain, emphasizing agribusiness-centric yields and practices tailored to consumer demands. This innovative approach aims to create a more efficient and responsive agricultural system.

ScalePad Cognition360 revolutionizes the ticket data from ConnectWise PSA into insightful and predictive business intelligence tailored for managed service providers. It features an extensive array of over 130 interactive reports and benchmarks that reveal underlying insights related to profitability, technician productivity, ticket trends, project outcomes, agreement renewals, and various other aspects. By utilizing a specialized data warehouse for reporting, Cognition360 effectively reduces the load on production systems, facilitating both historical trend examination and "what-if" scenarios. The incorporation of advanced machine learning and AI technology enhances predictive analytics, empowering MSP executives and virtual CIOs to pinpoint capacity issues, uncover hidden cost factors, assess client profitability, and identify operational hurdles, which can lead to a boost in profitability of 10–15%. Furthermore, for users of ConnectWise Manage, the integration process is straightforward, necessitating minimal setup and capitalizing on existing Power BI licenses for easy report visualization and interpretation. This innovative approach not only streamlines reporting but also provides actionable insights that can drive strategic business decisions.

Opster's AutoOps platform optimizes mapping, stabilizes operations, and improves resource utilization to reduce hardware costs and improve performance. Orchestration, management capabilities, and ticket-based support are not enough. AutoOps provides all the support you need, in real time. AutoOps can diagnose issues in all aspects of Elasticsearch operations. The system provides precise root cause analysis and also helps to resolve the problem. AutoOps can perform advanced optimizations, such as shard rebalancing and blocking heavy searches. It can also optimize templates. These optimizations will ensure your cluster operates at its peak performance and maximum resilience. Opster's AutoOps platform enables customers to dramatically reduce the hardware required for their deployment by optimizing mapping, stabilizing operations, and improving resource utilization.

Enhance organizational efficiency by optimizing business processes through advanced in-platform process mining techniques. Reveal insightful trends and patterns that shed light on the underlying causes of issues, allowing for a better understanding of how and why they arise. Evaluate and monitor team performance throughout your organization to drive improvements in workgroup outcomes. Simplify operations by identifying and eliminating redundant tasks and bottlenecks that hinder productivity. Achieve service excellence by utilizing an intuitive visual map that tracks real-time process performance, making it easy to spot areas needing attention. Instantly uncover hidden inefficiencies with just a click using comprehensive process data, while visual representations of workflows help in identifying and addressing bottlenecks swiftly. Accelerate process optimization with AI-driven analysis that highlights undesirable behaviors in workflows. Additionally, enhance compliance with regulations by proactively detecting any deviations and anomalies in processes, ensuring smooth and efficient operations across the board. Ultimately, this holistic approach leads to a more agile and responsive business environment.

Apollo Root Cause Analysis™ is a method grounded in principles that aids individuals in mastering effective strategies for problem-solving. When paired with the RC Pro® software, it enables the development of a comprehensive, evidence-based comprehension of any issue encountered. Such an understanding of the root causes and their effects fosters solutions that gain acceptance across the entire organization. The Apollo Root Cause Analysis™ approach promotes the establishment of a shared understanding through collaboration with all relevant stakeholders, resulting in a solid evidence-based perspective on the problem at hand. This methodology guarantees that the solutions implemented tackle verified causes, thereby minimizing the chances of future occurrences. It simplifies the problem-solving process and equips trained individuals with the necessary skills to tackle real-world challenges more efficiently and effectively. Additionally, RC Pro serves as a versatile root cause analysis software solution that can be customized for businesses of any scale and in various sectors. By utilizing RC Pro, organizations can enhance and integrate their problem-solving capabilities, leading to improved outcomes. Ultimately, this synergy between Apollo Root Cause Analysis™ and RC Pro empowers teams to create lasting solutions that foster continuous improvement.

Collect logs from every possible source. Regardless of whether your setup includes containers, services, or traditional servers, Unomaly delivers comprehensive insights into each element of your IT environment. By analyzing data without relying on specific parsers or requiring prior knowledge of the data's format or structure, Unomaly simplifies the process. It accepts input from host systems, log collectors, log servers, cloud services, and various applications or technologies. Through its aggressive learning of recurring patterns, Unomaly generates profiles for each log source that transmits data, and these profiles evolve as your environment undergoes changes. The landscape of your IT infrastructure is constantly shifting, and Unomaly ensures that its understanding remains relevant by automatically updating its model to reflect your current state whenever new data is introduced. Many incidents arise from unidentified causes, making them difficult to define beyond their adverse effects. Unomaly not only identifies these issues but also highlights potential root causes as they emerge, proactively enhancing your incident response capabilities. This real-time adaptability ensures that your organization remains resilient in the face of evolving challenges in the IT landscape.

Sumo Logic is a cloud-based solution for log management and monitoring for IT and security departments of all sizes. Integrated logs, metrics, and traces allow for faster troubleshooting. One platform. Multiple uses. You can increase your troubleshooting efficiency. Sumo Logic can help you reduce downtime, move from reactive to proactive monitoring, and use cloud-based modern analytics powered with machine learning to improve your troubleshooting. Sumo Logic Security Analytics allows you to quickly detect Indicators of Compromise, accelerate investigation, and ensure compliance. Sumo Logic's real time analytics platform allows you to make data-driven business decisions. You can also predict and analyze customer behavior. Sumo Logic's platform allows you to make data-driven business decisions and reduce the time it takes to investigate operational and security issues, so you have more time for other important activities.