Alternatives to HCL IntelliOps Event Management

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

Site24x7 provides unified cloud monitoring to support IT operations and DevOps within small and large organizations. The solution monitors real users' experiences on websites and apps from both desktop and mobile devices. DevOps teams can monitor and troubleshoot applications and servers, as well as network infrastructure, including private clouds and public clouds, with in-depth monitoring capabilities. Monitoring the end-user experience is done from more 100 locations around the globe and via various wireless carriers.

Since 2004, NetBrain has transformed network operations with its no-code automation platform, helping teams systematically shift left by turning complex processes into streamlined workflows. By unifying AI and automation, NetBrain delivers actionable hybrid network-wide observability, automates troubleshooting, and enables safe change management to boost efficiency, reduce MTTR, and mitigate risk, enabling IT organizations to proactively drive innovation. Get network-wide and contextualized analysis across your multi-vendor, multi-cloud network Visualize and document the entire hybrid network using dynamic network maps and end-to-end paths Automate network discovery and ensure data accuracy for a single source of truth Auto-discover and decode your network's golden configurations, discover day 1 issues, and automate configuration drift prevention Automate pre- and post-validations for network changes with application performance context understanding Automate collaborative troubleshooting from human to machine

EventLog Analyzer from Manage Engine is the industry's most affordable security information and event management software (SIEM). This cloud-based, secure solution provides all essential SIEM capabilities, including log analysis, log consolidation, user activity monitoring and file integrity monitoring. It also supports event correlation, log log forensics and log retention. Real-time alerting is possible with this powerful and secure solution. Manage Engine's EventLog Analyzer allows users to prevent data breaches, detect the root cause of security issues, and mitigate sophisticated cyber-attacks.

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

Edge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.

Transforming data into actionable insights is made simple with Splunk, which is securely and reliably managed as a scalable service. By entrusting your IT backend to our Splunk specialists, you can concentrate on leveraging your data effectively. The infrastructure, provisioned and overseen by Splunk, offers a seamless, cloud-based data analytics solution that can be operational in as little as 48 hours. Regular software upgrades guarantee that you always benefit from the newest features and enhancements. You can quickly harness the potential of your data in just a few days, with minimal prerequisites for translating data into actionable insights. Meeting FedRAMP security standards, Splunk Cloud empowers U.S. federal agencies and their partners to make confident decisions and take decisive actions at mission speeds. Enhance productivity and gain contextual insights with the mobile applications and natural language features offered by Splunk, allowing you to extend the reach of your solutions effortlessly. Whether managing infrastructure or ensuring data compliance, Splunk Cloud is designed to scale effectively, providing you with robust solutions that adapt to your needs. Ultimately, this level of agility and efficiency can significantly enhance your organization's operational capabilities.

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.

LogicMonitor is the leading SaaS-based, fully-automated observability platform for enterprise IT and managed service providers. Cloud-first and hybrid ready. LogicMonitor helps enterprises and managed service providers gain IT insights through comprehensive visibility into networks, cloud, applications, servers, log data and more within one unified platform. Drive collaboration and efficiency across IT and DevOps teams, in a fully secure, intelligently automated platform. By providing end-to-end observability for enterprise businesses, LogicMonitor connects coders to consumers, customer experience to the cloud, infrastructure to applications and business insights into instant actions. Maximize uptime, optimize end-user experience, predict what comes next, and keep your business fearlessly moving forward.

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

StackState's Topology & Relationship-Based Observability platform allows you to manage your dynamic IT environment more effectively. It unifies performance data from existing monitoring tools and creates a single topology. This platform allows you to: 1. 80% Reduced MTTR by identifying the root cause of the problem and alerting the appropriate teams with the correct information. 2. 65% Less Outages: Through real-time unified observation and more planned planning. 3. 3.3.2. 3x faster releases: Developers are given more time to implement the software. Get started today with our free guided demo: https://www.stackstate.com/schedule-a-demo

Do you struggle to manage all those alerts and tickets that come in? Dell APEX AIOps can reduce noise, detect incidents sooner, and fix issues faster. Do not let a flood alerts slow you. We remove these annoying alerts automatically so that you can enjoy your day without distraction. Never look at a ticket again. We send you "Situations" instead of tickets so you can fix problems faster before your customers complain. Stop wasting your time switching between tools. We bring all the tools together in one place, so you can manage any incident regardless of its origin. Use AI and ML to identify patterns and prevent them from happening again. Continuous delivery means continuous changes. Dell APEX AIOps automates the incident management workflow to provide continuous improvement. This gives you more time for other important and enjoyable tasks.

Sedai intelligently finds resources, analyzes traffic patterns and learns metric performance. This allows you to manage your production environments continuously without any manual thresholds or human intervention. Sedai's Discovery engine uses an agentless approach to automatically identify everything in your production environments. It intelligently prioritizes your monitoring information. All your cloud accounts are on the same platform. All of your cloud resources can be viewed in one place. Connect your APM tools. Sedai will identify and select the most important metrics. Machine learning intelligently sets thresholds. Sedai is able to see all the changes in your environment. You can view updates and changes and control how the platform manages resources. Sedai's Decision engine makes use of ML to analyze and comprehend data at large scale to simplify the chaos.

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.

OpenText AI Operations Management (Operations Bridge) is a comprehensive AIOps platform designed to provide enterprises with full-stack visibility and automated management of IT operations across cloud, on-premises, and XaaS environments. The solution dynamically discovers services and dependent resources, consolidating performance and event data from multiple sources to improve IT observability and accelerate incident resolution. Its AI-powered event correlation intelligently groups symptomatic alerts, reducing event noise and speeding up root cause identification. Deployment options include flexible SaaS and on-premises models, enabling organizations to balance control, speed, and scalability according to their strategic priorities. Embedded automation workflows enable rapid remedial actions through thousands of pre-built operations, minimizing manual intervention. The platform also delivers detailed service performance insights to pinpoint resource bottlenecks affecting user experience. OpenText AI Operations Management integrates seamlessly with existing toolchains to provide actionable intelligence and faster mean time to repair. It helps IT teams proactively manage service health and enhance operational efficiency.

Embark on your AIOps journey and revolutionize your IT operations using IBM Cloud Pak for Watson AIOps. This advanced platform integrates sophisticated, explainable AI throughout the ITOps toolchain, enabling you to effectively evaluate, diagnose, and address incidents affecting critical workloads. For those seeking IBM Netcool Operations Insight or earlier IBM IT management solutions, IBM Cloud Pak for Watson AIOps represents the next step in your current entitlements. It allows you to correlate data from all pertinent sources, uncover hidden anomalies, predict potential issues, and expedite resolutions. By proactively mitigating risks and automating runbooks, workflows become significantly more efficient. AIOps tools facilitate the real-time correlation of extensive unstructured and structured data, ensuring that teams can remain focused while gaining valuable insights and recommendations integrated into their existing processes. Additionally, you can create policies at the microservice level, allowing for seamless automation across various application components, ultimately enhancing overall operational efficiency even further. This comprehensive approach ensures that your IT operations are not just reactive but also strategically proactive.

BMC Helix Operations Management serves as a comprehensive, cloud-native solution for observability and AIOps, specifically engineered to address the complexities of hybrid-cloud environments. Adopting a service-oriented perspective towards observability data is crucial for achieving effective AIOps results. It facilitates the integration of third-party observability inputs, including metrics, events, logs, incidents, changes, and topologies, into a unified IT data repository. This enables users to monitor service health and enhances the capacity for pinpointing root causes through automatically generated dynamic business service models. The AI-driven features improve the signal-to-noise ratio by employing event suppression, de-duplication, and correlation, all aimed at generating actionable insights. Users can quickly identify root causes with AI probability assignments to key causal nodes based on comprehensive data and service models. Additionally, the platform aids in preventing future incidents through proactive Business Service Health monitoring and AI-driven outage predictions. Troubleshooting is expedited via enriched logs and advanced analytics, while users can conveniently request and implement automations through BMC or other third-party tools, making management seamless and efficient. Ultimately, this solution empowers organizations to enhance their operational resilience and streamline management processes.

Improving business outcomes involves making it easier to spot and address high-priority incidents. The WatchTower Platform serves as a comprehensive observability tool that streamlines incident resolution specifically within mainframe environments by effectively integrating and correlating events, data flows, and metrics across various IT silos. It provides a cohesive and intuitive interface for operations teams, allowing them to optimize their workflows. Leveraging established AIOps solutions, WatchTower is adept at detecting potential problems at an early stage, which aids in proactive mitigation. Additionally, it utilizes OpenTelemetry to transmit mainframe data and insights to observability tools, allowing enterprise SREs to pinpoint bottlenecks and improve operational effectiveness. By enhancing alerts with relevant context, WatchTower eliminates the necessity for logging into multiple tools to gather essential information. Its workflows expedite the processes of problem identification, investigation, and incident resolution, while also simplifying the handover and escalation of issues. With such capabilities, WatchTower not only enhances incident management but also empowers teams to proactively maintain high service availability.

Enhance your cloud operation workflow through a unified platform that encompasses all production events, governance of runbooks, automation, operational processes, and in-depth analytics. Designed to elevate productivity, it empowers every team member to attain greater outcomes. Whether you're managing on-premises infrastructure or leveraging cloud-native solutions, whether you are a scaling startup or a large multinational corporation, XiteiT alleviates the challenges associated with the daily intricacies of your cloud operations team. It serves as a comprehensive CloudOps orchestration and automation solution that consolidates all monitoring, productivity tools, and associated automation systems within an organization. By centralizing all cloud operational tasks, you achieve complete observability and operational uniformity, leveraging current personnel and processes to enhance incident response and production management effectiveness. Furthermore, it fosters operational transparency, allowing for prioritized decision-making and significantly shortening remediation times, thus streamlining your cloud operations for optimal efficiency.

A centralized approach driven by AI and machine learning is designed to handle vast quantities of IT-related data sourced from various platforms. This approach enhances the responsiveness of multiple teams to outages and performance issues while ensuring seamless interaction with IT service management technologies. By employing AIOps, organizations can effectively address daily IT operational challenges on a large scale, utilizing a range of advanced techniques such as machine learning, network science, combinatorial optimization, and additional computational methods. AIOps equips enterprises to manage an extensive array of IT management tasks, which includes intelligent alerting, correlating alerts, escalating alerts, automating remediation, investigating root causes, and optimizing capacity. Implementing a structured framework enables the proactive refinement of processes, resources, personnel, information, and communication channels. Continuous oversight and optimization of operations are essential, allowing for 24/7 management of IT functions. Additionally, establishing effective processes helps minimize the disruptive noise that often accompanies incident occurrences, ultimately leading to a more streamlined IT environment. This comprehensive strategy can significantly enhance overall operational efficiency and reliability.

Synergy serves as an AI-driven command center designed for enterprise IT operations, consolidating fragmented monitoring, ticketing, logging, and documentation into a cohesive interface. By continuously integrating data from tools such as Splunk, New Relic, Jira, ServiceNow, and Confluence, it transforms overwhelming alert storms into well-organized, prioritized insights. Its Smart Incident Workflows streamline routine processes, recommend subsequent actions, identify ownership gaps, and expedite resolutions, thereby reducing the average time for detection and repair. Additionally, Synergy’s proactive monitoring capabilities identify potential risks ahead of conventional alerts, highlight error surges and missed escalations, detect emerging trends, and respond to investigative inquiries using natural language. Furthermore, its integrated root cause analysis tracks incidents comprehensively across timelines, logs, metrics, tickets, and post-mortem evaluations, connecting to related events for immediate context and producing succinct summaries to aid in understanding. Overall, Synergy enhances operational efficiency and effectiveness for IT teams, ensuring they remain ahead of potential issues.

ZIF transforms IT Operations by shifting the focus from a reactive to a proactive approach, facilitating seamless IT processes. It features a unified command interface that consolidates data from various monitoring tools and devices, supported by over 100 plugins. This setup delivers actionable insights on events, helping to minimize infrastructure noise by correlating events and reducing false alarms. Additionally, it aids in swiftly identifying root causes by utilizing infrastructure and application heat maps for quicker issue detection. With the aid of predictive analytics, potential problems are forecasted before they can cause significant disruptions, employing both supervised and unsupervised machine learning techniques. The system also logs incidents in the IT Service Management (ITSM) tool while ensuring that the appropriate personnel are notified through the Virtual Supervisor. Furthermore, it automates repetitive tasks and complex workflows, enhancing overall efficiency. The benefits include comprehensive visibility across the enterprise, improved operational efficiency through noise reduction, and the ability to proactively identify risks based on patterns without relying on a Configuration Management Database (CMDB). Consequently, organizations can achieve faster Mean-Time-To-Repair (MTTR) and maintain a more resilient IT infrastructure overall.

7AI is a cutting-edge security platform designed to streamline and enhance the entire security operations lifecycle by utilizing advanced AI agents that swiftly investigate security alerts, derive conclusions, and execute actions, transforming processes that previously consumed hours into mere minutes. In contrast to conventional automation tools or AI assistants, 7AI features specialized, context-aware agents that are carefully structured to prevent inaccuracies and function independently; these agents assimilate alerts from various security systems, enrich and correlate information across endpoints, cloud, identity, email, network, and other sources, ultimately delivering comprehensive investigations complete with evidence, narrative summaries, cross-alert correlations, and audit trails. This platform provides an all-encompassing security solution that ranges from detection to alert triage, effectively filtering out noise and eliminating up to 95–99% of false positives, as well as facilitating investigations through extensive data collection and expert reasoning. Furthermore, it supports unified incident-case management by auto-generating cases, enabling team collaboration, and ensuring smooth handoffs, thus enhancing the overall efficiency of security operations. With its innovative approach, 7AI not only optimizes security processes but also empowers organizations to respond to threats more effectively and efficiently.

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.

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

Revolutionize your operations across various sectors by leveraging AI and Automation to establish an Autonomous Enterprise that enhances resilience, assures quality, and elevates the customer experience. Digitate’s ignio addresses your operational challenges, enabling the transition to an Agile, Resilient, and Autonomous Enterprise. Organizations can swiftly adapt to changes, embark on digital transformations, and foster innovation to thrive in competitive landscapes. By utilizing ignio, you can shift your IT and business operations from a reactive stance to a proactive one, propelling you toward the ability to ‘Predict, Prescribe, and Prevent.’ Discover how enterprises can enhance their business and IT operational strategies to forge a path into an Autonomous Enterprise. Begin your transformation journey from Traditional to Automated and ultimately to Autonomous Operations. With the power of AI and Machine Learning, Autonomous Operations empower businesses to minimize manual intervention, seamlessly adapt to both business and IT shifts with lower costs, and prioritize innovation as a core focus. This strategic shift not only optimizes efficiency but also positions organizations to thrive in an ever-evolving landscape.

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.

Selector’s software-as-a-service leverages machine learning and natural language processing to deliver self-service analytics that facilitate immediate access to actionable insights, significantly decreasing mean time to resolution (MTTR) by as much as 90%. This innovative Selector Analytics platform harnesses artificial intelligence and machine learning to perform three critical functions, equipping network, cloud, and application operators with valuable insights. It gathers a wide array of data—including configurations, alerts, metrics, events, and logs—from diverse and disparate data sources. For instance, Selector Analytics can extract data from router logs, device performance metrics, or configurations of devices within the network. Upon gathering this information, the system normalizes, filters, clusters, and correlates the data using predefined workflows to generate actionable insights. Subsequently, Selector Analytics employs machine learning-driven data analytics to evaluate metrics and events, enabling automated detection of anomalies. In doing so, it ensures that operators can swiftly identify and address issues, enhancing overall operational efficiency. This comprehensive approach not only streamlines data processing but also empowers organizations to make informed decisions based on real-time analytics.

FortiAIOps enhances IT operations by providing proactive visibility through the power of artificial intelligence, facilitating a more efficient network management system. This AI/ML solution is specifically designed for Fortinet networks, enabling rapid data acquisition and the detection of anomalies within the network. The various Fortinet devices, including FortiAPs, FortiSwitches, FortiGates, SD-WAN, and FortiExtender, contribute to the FortiAIOps dataset, which aids in generating insights and correlating events crucial for the network operations center (NOC). This system allows for comprehensive visibility across the entire OSI model, offering detailed Layer 1 data such as RF spectrum analysis to identify potential Wi-Fi interference. Additionally, it provides Layer 7 application insights, revealing the applications that flow through both Ethernet and SD-WAN links. To further assist in network management, users can leverage an array of troubleshooting tools, including VLAN probing, cable verification, spectrum analysis, and service assurance, to effectively diagnose and resolve issues. By employing these tools, organizations can ensure their networks operate smoothly and efficiently.

Enhancing incident management for active SRE and DevOps teams, this solution integrates your team's expertise with the capabilities of AI and machine learning. It features a correlation engine designed to streamline DevOps and Site Reliability Engineering processes. Through automatic correlation, aggregation, and prioritization of alerts, it ensures that you concentrate on the most critical matters. Swiftly address problems with predictive insights and suggested resolutions that are generated automatically. Additionally, issues are enriched automatically with all pertinent logs, events, and metrics required, no matter the timeframe, allowing for a more comprehensive understanding of incidents. This innovative approach ultimately empowers teams to maintain better operational efficiency and responsiveness in a fast-paced environment.

Service assurance is a key goal for digital-first businesses. It has become the lifeblood of their business applications. These applications are becoming more complex due to the advent of 5G, edge, and containerized cloud-native infrastructures. RDAF consolidates disparate data sources and converges on the root cause using dynamic AI/ML pipelines. Then, intelligent automation is used to remediate. Data-driven companies should evaluate, assess, and implement RDAF to speed innovation, reduce time to value, meet SLAs, and provide exceptional customer experiences.

Mist AI, an essential component of Juniper’s AI-Native Networking Platform, employs a blend of artificial intelligence, machine learning, and data science methodologies to enhance user experiences and streamline operations across various domains such as wireless access, wired access, SD-WAN, WAN Edge, data centers, and security. It gathers data from a wide array of sources, including Juniper Mist Access Points, Switches, Session Smart Routers, WAN Edge Routers, and Firewalls, enabling comprehensive visibility into user experiences. By working synergistically with Mist AI, these devices facilitate the optimization of user experiences from client to cloud, encompassing automated event correlation, root cause analysis, Self-Driving Network functionalities, network assurance, proactive anomaly detection, and much more. Furthermore, Juniper utilizes Mist AI to enhance its next-generation customer support. At the core of this initiative is Marvis, the first AI-driven virtual network assistant in the industry, which offers deep insights and assistance to IT personnel while continuously learning to improve its service. Ultimately, Mist AI represents a significant advancement in network management technology, poised to transform how organizations handle their networking challenges.

LogicHub stands out as the sole platform designed to automate processes such as threat hunting, alert triage, and incident response. This innovative platform uniquely combines automation with sophisticated correlation techniques and machine learning capabilities. Its distinctive "whitebox" methodology offers a Feedback Loop that allows analysts to fine-tune and enhance the system effectively. By utilizing machine learning, advanced data science, and deep correlation, it assigns a threat ranking to each Indicator of Compromise (IOC), alert, or event. Analysts receive a comprehensive explanation of the scoring logic alongside each score, enabling them to swiftly review and confirm results. Consequently, the platform is able to eliminate 95% of false positives reliably. In addition, it continuously identifies new and previously unrecognized threats in real-time, which significantly lowers the Mean Time to Detect (MTTD). LogicHub also seamlessly integrates with top-tier security and infrastructure solutions, fostering a comprehensive ecosystem for automated threat detection. This integration not only enhances its functionality but also streamlines the entire security workflow.

JFrog has completed the acquisition of CloudMunch and is now dedicated to merging our solutions to enhance your experience with DevOps business intelligence and analytics. Your feedback is essential, and we invite you to be one of the first to experience JFrog Insight. With this new tool, managing and overseeing DevOps values will become a straightforward endeavor. JFrog Insight represents a breakthrough in DevOps, featuring the first continuous intelligence and configuration solution tailored for enterprises. This comprehensive tool promises to deliver an extensive overview of your DevOps environment and workflows, while gathering crucial metrics and correlating them across various systems, thus providing actionable insights for development managers, operations teams, and compliance officers alike. Our research and development team is diligently working to seamlessly integrate the CloudMunch product into JFrog’s suite of tools, resulting in JFrog Insight—a revolutionary DevOps solution that will elevate the BI analytics capabilities within your organization and drive greater efficiency in your processes.

Callgoose SQIBS – Revolutionizing IT Automation and Incident Management Callgoose SQIBS stands as an advanced automation platform designed to enhance IT operations, streamline incident response, and boost system reliability. It features instant alerts, on-call scheduling, automatic incident remediation, and smooth integrations to reduce downtime and increase operational efficiency. 🔹 Use Cases: Automatic incident remediation, scheduling for on-call personnel, automation of processes, management of IT requests, event-driven automation, and integrations with cloud services. 🔹 Target Users: Corporations, DevOps teams, managed service providers (MSPs), and IT departments across various sectors, including software as a service (SaaS), finance, e-commerce, telecommunications, and healthcare. 🔹 Notable Features: Alerts through multiple channels, automation of runbooks, absence of per-user charges, and complete customization options. 🔹 Pricing: Subscriptions range from a Freemium option ($0) to a Dedicated plan ($1000/month), with automation capabilities included in all paid tiers. Compatible with any IT service management (ITSM), DevOps, or cloud solution, Callgoose SQIBS is designed to be scalable and cost-efficient while providing seamless IT automation. Additionally, users can expect ongoing updates and improvements to enhance their experience further. 🚀

When organizations choose to invest in a comprehensive observability platform that integrates data, insights, and actions throughout their IT landscape, they are able to address issues more swiftly while also removing data silos, reducing the need for resource-intensive war rooms, and alleviating alert fatigue. The Riverbed IQ unified observability solution empowers both business and IT to make quick and effective decisions by encapsulating expert troubleshooting knowledge, enabling less experienced staff to deliver more first-level resolutions, which in turn fosters digital innovation and enhances the overall digital experience for both customers and employees. By utilizing broad-based telemetry, organizations can attain a cohesive view of performance and insights, establishing a solid foundation of unified observability that supports the delivery of all other capabilities. Riverbed IQ’s methodology towards unified observability initiates with our full-fidelity telemetry, which spans across network and infrastructure components and incorporates metrics related to the end-user experience, ensuring a comprehensive understanding of system performance. This holistic approach not only streamlines troubleshooting but also positions organizations to respond adeptly to evolving digital demands.

NetOp Cloud serves as an AI-powered network operations platform aimed at streamlining and improving network management for both enterprises and managed service providers. It delivers real-time insights within hybrid and multi-vendor settings, effectively merging traditional and cloud-managed networks into a cohesive dashboard. Among its notable features are predictive analytics for networks, automated solutions for incidents, and smart filtering of alerts, which together can decrease IT ticket submissions by as much as 90% and speed up resolution times. The AI component of NetOp is designed to continuously learn and adapt to the behavior of the network, offering proactive alerts for anomalies, conducting root cause analyses, and either suggesting or executing corrective measures independently. Furthermore, it allows for smooth integration with pre-existing systems through APIs and can scale from single-site implementations to extensive global networks, making it a versatile choice for various organizational needs. This adaptability ensures that organizations can maintain optimal network performance as they grow and evolve.

D3 Security leads in Security Orchestration, Automation, and Response (SOAR), aiding major global firms in enhancing security operations through automation. As cyber threats grow, security teams struggle with alert overload and disjointed tools. D3's Smart SOAR offers a solution with streamlined automation, codeless playbooks, and unlimited, vendor-maintained integrations, maximizing security efficiency. Smart SOAR’s Event Pipeline is a powerful asset for enterprises and MSSPs that streamlines alert-handling with automated data normalization, threat triage, and auto-dismissal of false positives—ensuring that only genuine threats get escalated to analysts. When a real threat is identified, Smart SOAR brings together alerts and rich contextual data to create high-fidelity incidents that provide analysts with the complete picture of an attack. Clients have seen up to a 90% decrease in mean time to detect (MTTD) and mean time to respond (MTTR), focusing on proactive measures to prevent attacks. In 2023, over 70% of our business was from companies dropping their existing SOAR in favor of D3. If you’re frustrated with your SOAR, we have a proven program to get your automation program back on track.

Ensure robust IT services while enhancing team productivity through streamlined experiences. Accelerate issue resolution and foster innovation with the power of AI and machine learning, all accessible via a singular cloud platform designed for ease of use. Simplify your IT landscape by integrating services and tools, uniting the applications essential for delivering cutting-edge IT experiences. Leverage automation to manage critical processes from the Now Platform, which serves as a centralized system for organizational actions. Relieve your IT staff from routine burdens and improve efficiency. Utilize AI-driven insights to swiftly identify, monitor, and address incidents, while natural language virtual agents provide immediate solutions for repetitive service tasks. The IT Service Management (ITSM) framework offers robust capabilities to refine processes, enhance user experiences, and generate new value through innovative strategies. Ultimately, revolutionize your organization with a cohesive platform that unifies all enterprise functions. This transformation enables not just efficiency but also a strategic advantage in a rapidly evolving digital landscape.

IBM® Netcool® Operations Insight, enhanced by AI and machine learning, significantly minimizes event noise by automatically categorizing related events and offering pertinent context for quicker resolutions, enabling you to operate more efficiently. It presents a unified perspective across local, cloud, and hybrid settings while delivering actionable insights into the performance of services alongside their dynamic network and IT infrastructures. With this tool, you can modernize and streamline your IT operations, gaining deeper insight into rapidly changing environments, and it also supports containerized deployment on IBM Cloud Private for added flexibility and scalability. This integration of advanced technologies not only simplifies workflows but also empowers teams to respond more proactively to emerging challenges.

The most comprehensive suite of Health & Safety software solutions will streamline your processes and help you manage the risks. ProcessMAP helps companies achieve consistency and provides real-time insights to improve their Health & Safety performance. Standardize, streamline, and track the processes required to comply with various regulations and compliance frameworks. Built-in alerts, robust CAPA Management, and advanced reporting capabilities increase accountability and provide visibility across an organization. They also make it easier to be ready for inspections and audits. The correlation of safety and claims data can reduce risk. Analyze the root causes of claims and events to identify and mitigate risk. Our platform reduces risk by stopping claims from happening. The industry's best cloud platform for sustainability management and metrics reporting. Streamline the collection, verification and analysis of company-wide KPIs.

Swiftly detect and address network threats as they arise in real-time. It is critical to maintain network security and ensure it operates at safe levels following any incidents. Promptly identify and contain any occurrences that could significantly endanger the organization. Keep a vigilant eye on the IT performance across the complete network architecture, including every endpoint. Systematically log, archive, and categorize event data and usage metrics for each network element. Manage and fine-tune all aspects of your security initiatives through a centralized interface. ArmorPoint consolidates the analytics typically monitored in isolated environments, such as NOC and SOC, into a unified perspective that enhances the overall security and operational reliability of the organization. This approach allows for quick identification and resolution of security incidents, while also ensuring effective management of security, performance, and compliance. Furthermore, it enables event correlation across your entire attack surface, facilitating automation and orchestration of security processes for better outcomes. This integrated strategy not only strengthens defenses but also streamlines operational efficiency.

Middleware Observability & management software for Messaging, event processing, and Streaming Across Hybrid Clouds (MESH). - 360 degree situational awareness® with complete observability of Integration MESH - Manage configuration, administration and deployment in a secure manner and automate them. - Track and trace transactions, messages, and flows - Collect data, monitor performance, and benchmark it meshIQ provides granular controls for managing configurations in the MESH, reducing downtime and allowing quick recovery after outages. It allows you to search, browse, track and trace messages in order to detect bottlenecks, speed up root cause analysis, and detect bottlenecks. Unlocks integration blackbox for visibility across MESH infrastructure in order to visualize, analyse, report and predict. Delivers the capability to trigger automated action based on predefined criteria or intelligent AI/ML actions.

Started in 1989, Marval is a leading global provider of enterprise IT Service Management (ITSM) software. Marval offers unrivalled industry knowledge and expertise combined with innovative system design. With over 30 years of regular updates we offer a solution rich of functionality, now also including Machine Learning and Artificial Intelligence, to empower our customers on their ITSM journey. We are a trusted partner to both public and private sector organisations worldwide, enabling support teams to deliver outstanding service management and customer experiences to colleagues and consumers around the globe. Our accreditations Marval's integrated IT Service Management (ITSM) software solution has successfully passed the criteria for PinkVERIFY 2011 Toolsets for all 16 Pink defined ITIL processes. We have also been endorsed by AXELOS under the ITIL Software Scheme as ITIL process compliant to both gold and silver levels. Marval has held the ISO/IEC 20000 certification since its introduction in 2005. Our ITSM software is also accredited by the Service Desk Institute (SDI) as SDI Standard Performance Results Report Compliant.

Unravel Data is a powerful AI-native data observability and FinOps platform built for today’s complex enterprise data environments. It leverages intelligent Data Observability Agents to continuously monitor pipelines, workloads, and infrastructure for performance, reliability, and cost efficiency. Rather than just reporting issues, Unravel provides actionable insights that help teams resolve problems faster and prevent future incidents. The platform enables automated cost optimization, proactive troubleshooting, and performance tuning across the modern data stack. Unravel integrates seamlessly with existing tools and workflows, allowing teams to automate actions or maintain full control over decision-making. Purpose-built agents for FinOps, DataOps, and Data Engineering reduce firefighting, accelerate root cause analysis, and improve developer productivity. With native support for Databricks, Snowflake, and BigQuery, Unravel delivers deep, platform-specific visibility. Enterprises use Unravel to reduce cloud data costs, improve reliability, and scale operations confidently. Its agentic approach turns data observability into an active partner rather than a passive monitoring tool. Unravel empowers data teams to focus on innovation instead of constant issue resolution.