Best Cyber Risk Management Software for Cisco Identity Services Engine (ISE)

Find and compare the best Cyber Risk Management software for Cisco Identity Services Engine (ISE) in 2026

Use the comparison tool below to compare the top Cyber Risk Management software for Cisco Identity Services Engine (ISE) on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    Armis Centrix Reviews
    Armis Centrix™ unifies cybersecurity operations by delivering continuous discovery, monitoring, and protection of every asset across complex hybrid networks. Its AI-powered intelligence engine enables security teams to detect unmanaged devices, assess vulnerabilities, and mitigate risks before attackers can exploit them. Organizations can manage IT systems, industrial OT environments, medical IoMT fleets, and IoT devices from a single platform with zero blind spots. The platform supports both on-premises and SaaS deployments, making it flexible for industries like healthcare, utilities, manufacturing, and critical infrastructure. VIPR Pro enhances the platform with automated remediation workflows, helping teams prioritize issues based on real-world threat activity. Early Warning intelligence provides insight into vulnerabilities actively being weaponized, ensuring organizations can act ahead of threats. Armis Centrix™ also improves business outcomes by increasing operational efficiency, supporting compliance, and strengthening resilience. Trusted by global enterprises and recognized by Gartner and GigaOm, Armis Centrix™ is built to meet the cybersecurity demands of modern digital environments.
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    ThreatConnect Risk Quantifier (RQ) Reviews
    ThreatConnect RQ is a financial cyber risk quantification solution that allows users to identify and communicate the cybersecurity risks that matter most to an organization in terms of financial impact. It aims to enable users to make better strategic and tactical-level decisions by quantifying them based on the business, the technical environment, and industry data. RQ automates the generation of financial cyber risk reporting as it relates to the business, cybersecurity initiatives, and controls. Automated outputs are generated in hours for reporting that is more current and relevant. By automating risk modelling, the vendor states customers get a fast start and can critique, or tune models over time instead of having to create their own. They use historical breach data and threat intelligence upfront in order to save months of data collection and remove the burden of continuous updating.
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    Gurucul Reviews
    Our security controls, driven by data science, facilitate the automation of advanced threat detection, remediation, and response. Gurucul’s Unified Security and Risk Analytics platform addresses the crucial question: Is anomalous behavior truly a risk? This unique capability sets us apart in the industry. We prioritize your time by avoiding alerts related to non-risky anomalous activities. By leveraging context, we can accurately assess whether certain behaviors pose a risk, as understanding the context is essential. Merely reporting what is occurring lacks value; instead, we emphasize notifying you when a genuine threat arises, which exemplifies the Gurucul advantage. This actionable information empowers your decision-making. Our platform effectively harnesses your data, positioning us as the only security analytics provider capable of seamlessly integrating all your data from the outset. Our enterprise risk engine can absorb data from various sources, including SIEMs, CRMs, electronic medical records, identity and access management systems, and endpoints, ensuring comprehensive threat analysis. We’re committed to maximizing the potential of your data to enhance security.
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