Contextual Vulnerability Management

    Reduce noise by auto-dismissing non-exploitable findings, surface the few CVEs that are actually exploitable, and capture audit-friendly evidence. No change in scanners or workflows.

    Do these sound familiar?

    Backlog overload

    My vulnerability backlog is massive and keeps growing.

    66% of 1k+ employee organizations sit on 100k+ vulnerabilities. We're seeing a 30% year-over-year increase in reported CVEs.

    Resource misallocation

    We spend time on triage and fixes that do not reduce risk.

    Developers spend up to 20% on remediation, often on false positives. Time is wasted without proof of impact.

    No rip and replace

    We cannot rip and replace the scanners we already deployed.

    Deploying a new SCA is costly and time-consuming. We need solutions that work with existing tools and workflows.

    You don’t need more findings.

    You need context-aware triage.

    Because without context, triage is guesswork.

    With it, you get proof & ship faster with less risk.

    Cut through the noise with evidence-backed triage

    Konvu closes the gap between AppSec and devs, combining security insights with code and optional runtime context to deliver automated, evidence-backed triage.

    Say goodbye to false positives

    Dismiss non-exploitable vulnerabilities with decisions backed by reasoned analysis and evidence your security and dev teams can trust.

    • Cut backlog and noise by ignoring non-exploitable findings with confidence.
    • Trust every decision with documented investigations, code-level and optional runtime evidence.
    • Stay in control with policy-based confidence thresholds and human-in-the-loop reviews.
    Say goodbye to false positives illustration

    We help teams triage and they LOVE it!

    +70%

    Average noise reduction

    Fortune 500 Retail

    Security Lead

    Konvu gave us clarity. It dismissed the non exploitable findings and put the real risks at the top of the list.

    Read case study →
    3x

    Faster MTTR on real issues

    B2B SaaS Company

    Chief Technology Officer

    My team was spending 15+ hours every week fixing false positives. Now we save all that time for real security work.

    Case study coming soon →

    93%

    Learn how a retail giant with 80k+ employees transformed their vulnerability management by automatically triaging Black Duck Polaris findings with AI-powered evidence.

    Read case study →

    Works with your stack

    Connect Konvu to your existing security tools, issue trackers, and development workflow. No disruption to your current processes—just smarter vulnerability management.

    • Checkmarx
    • Veracode
    • Black Duck
    • Semgrep
    • Snyk
    • Dependabot
    • Azure
    • ServiceNow
    • Jira
    • Linear
    • GitLab
    • Wiz
    • Mend
    • Contrast
    • Paloalto networks

    Ready to cut your backlog in half?

    Let AI agents triage noise and verify exploitability with evidence. Keep your team focused on real impact — no scanner changes required.

    AI Triage Interface