Konvu Contextual Vulnerability Management

Konvu Contextual Vulnerability Management is a vulnerability triage and remediation platform that uses AI agents to investigate vulnerabilities identified by existing security scanners and determine whether they are genuinely exploitable in a given context. How it works: - Konvu connects to existing vulnerability scanners (no replacement required) and analyzes each finding against actual code paths, configurations, and data flows. - For each vulnerability, it performs deterministic exploitability checks that go beyond reachability analysis and CVSS scores. - Findings that are not exploitable can be automatically dismissed with documented evidence and reasoning that security and development teams can review and defend. - Exploitable vulnerabilities are escalated with supporting evidence, and Konvu can optionally generate a fix, test it for breaking changes, and open a pull request. Key operational characteristics: - Configurable confidence thresholds allow teams to control how aggressively auto-dismissal is applied. - Human-in-the-loop review is supported for decisions that fall below confidence thresholds. - Decisions are pushed back into existing tools via native integrations, APIs, and CLIs — no new dashboards are required. - Setup is described as lightweight and non-disruptive to existing scanner and workflow configurations. The platform is positioned for security and development teams dealing with high volumes of scanner alerts, aiming to reduce noise and focus remediation effort on confirmed exploitable issues.