Best Continuous Threat Exposure Management (CTEM) Platforms for Jira Service Management

Find and compare the best Continuous Threat Exposure Management (CTEM) platforms for Jira Service Management in 2026

Use the comparison tool below to compare the top Continuous Threat Exposure Management (CTEM) platforms for Jira Service Management on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Vulcan Cyber Reviews

    Vulcan Cyber

    Vulcan Cyber

    $999 / month
    Vulcan Cyber is changing the way businesses reduce cyber risks through vulnerability remediation orchestration. We help IT security teams to go beyond remedial vulnerability management and help them drive vulnerability mitigation outcomes. Vulcan combines vulnerability and asset data with threat intelligence and customizable risk parameters, to provide risk-based vulnerability prioritization insight. We don't stop there. Vulcan remediation intelligence identifies the vulnerabilities that are important to your business and attaches the necessary fixes and remedies to mitigate them. Vulcan then orchestrates and measures the rest. This includes inputs into DevSecOps and patch management, configuration management and cloud security tools, teams, and functions. Vulcan Cyber has the unique ability to manage the entire vulnerability remediation process, from scan to fix.
  • 2
    RiskProfiler Reviews

    RiskProfiler

    RiskProfiler

    $4999
    RiskProfiler can help you identify shadow risks and increase your brand's reputation and cyber risk rating by using the power of AI. RiskProfiler tracks your digital presence on the dark, surface and deep webs. You can eliminate shadow risks before hackers do. The collected reconnaissance information is used for the discovery and fingerprinting of an organization's digital footprint. Assets are then grouped based on fingerprint information. Risk Profiler's proprietary attack simulator runs passive scans and identifies security problems per asset without any complicated deployments, configurations or disruption of business operations. AI Models are used for filtering out false positives and providing actionable insights based upon threats across the surface, dark, and deep web.
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