Best Vulnerability Assessment Tools for Jira Service Management

Find and compare the best Vulnerability Assessment tools for Jira Service Management in 2026

Use the comparison tool below to compare the top Vulnerability Assessment tools for Jira Service Management on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    ManageEngine Endpoint Central Reviews
    Top Pick

    ManageEngine Endpoint Central

    ManageEngine

    $795.00/one-time
    3,069 Ratings
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    ManageEngine's Endpoint Central, formerly Desktop Central, is a Unified Endpoint Management Solution that manages enterprise mobility management, including all features of mobile app management and mobile device management, as well as client management for a wide range of endpoints such as mobile devices, laptops computers, tablets, servers, and other machines. ManageEngine Endpoint Central allows users to automate their desktop management tasks such as installing software, patching, managing IT assets, imaging, and deploying OS.
  • 2
    NorthStar Navigator Reviews

    NorthStar Navigator

    NorthStar.io, Inc.

    $8 per device
    NorthStar allows organizations to easily incorporate threat intelligence and business context to enable a risk-based approach to their vulnerability management program. The Platform automates the collection, normalization, consolidation and correlation of threat intelligence, asset, software, and vulnerability data. Combined with a transparent scoring model, NorthStar automates the tedious and manual process of prioritizing vulnerability remediation.
  • 3
    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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