Best Vulnerability Assessment Tools for Jira Service Management

ManageEngine Endpoint Central persistently uncovers and ranks security vulnerabilities across all managed devices, equipping IT and security teams with the insights necessary to direct their remediation efforts effectively. Utilizing AI-based vulnerability assessment, it evaluates risk based on CVSS severity, availability of exploits, age of vulnerabilities, and current attack patterns to ensure that critical issues are resolved before they can be leveraged for attacks. The solution features real-time scanning that identifies known vulnerabilities, zero-day threats, and actively exploited weaknesses in operating systems and third-party applications, while automated patch deployment efficiently addresses these vulnerabilities without requiring manual action. In addition to software vulnerabilities, Endpoint Central detects security misconfigurations, outdated software, unauthorized remote sharing applications, and gaps in antivirus protection, delivering a thorough exposure management solution that transcends conventional vulnerability scanning methods.

AI Agents can’t manage your network without context. NetBrain delivers it. NetBrain provides a proven, safe path to Agentic NetOps, backed by an AI-powered platform informed by network context, real customer outcomes, and enterprise network expertise.

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.

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.