# Konvu

> Exploitability, not just "severity". With thousands of new CVEs every month and time-to-exploit shrinking, security teams can't investigate everything — the vulnpocalypse has arrived. Konvu verifies real exploitability across your stack before attackers get there first, and hands developers everything they need to fix what actually matters. Bring your own scanner or use Konvu's: Konvu reads findings from your existing SAST, SCA, container, DAST, and bug-bounty tools, and can also scan for you with Konvu SCA, Konvu SAST, and Konvu Secrets. Either way it runs AI-driven exploitability analysis and writes evidence-backed verdicts back into Jira, ServiceNow, GitHub, and the scanners themselves. Over 85% of findings are not exploitable — Konvu proves which ones are, with evidence auditors accept. Detection is solved; the decision is not, and the decision is what Konvu does. Free trial, then self-serve sign-up at https://app.konvu.com/ on the Business plan ($2,000/month for 400 confident triage verdicts and automated fix PRs, cancel anytime); Enterprise pricing is custom and unlocks bug bounty reproduction, push integrations, self-hosted analysis, SSO, and audit-ready governance. Founded 2024 by former Sqreen (YC W18, acquired by Datadog) team. SOC 2 Type II. New York, NY.

## When to use Konvu

Use Konvu when you are authorized to work in a Konvu workspace and need to:

- Decide whether an SCA, SAST, container, secret, or bug-bounty finding is actually exploitable in a specific codebase or deployment.
- Get evidence-backed triage that explains the relevant code path, preconditions, and verdict instead of relying on severity alone.
- Prioritize the confirmed risks in an existing scanner queue, or prepare a safe remediation pull request for a confirmed finding.
- Check relevant security invariants while changing code in a coding agent, or run the same Guardrails workflow in CI.

Start with the product and workflow pages below.

Do not use Konvu as a generic CVE database or to make changes in a workspace you are not authorized to access. Do not dismiss findings, modify repository settings, or create remediation pull requests without the workspace owner's approval.

## For agents

Konvu Guardrails maps private application context into a Security Context Graph and derives the security invariants an application must keep. That context can include code and configuration, business context, internal documentation and threat models, plus optional pentest findings and prior bug history. Invariants can cover tenant isolation, roles, permissions, entitlements, approvals, state transitions, and money movement. Guardrails checks the relevant invariants while a coding agent works through the CLI or MCP, or in CI before review and merge. CI can run in report-only or blocking mode. Only hooks and invariant selection are deterministic. Existing scanners and coding models remain complementary. Early access.

## Product

- [Product Overview](https://konvu.com/product): How Konvu investigates scanner findings, opens fix pull requests, and checks new code against security invariants
- [SCA Triage](https://konvu.com/product/sca-triage): Exploitability-first triage for open-source CVEs — proves reachability and exploitability
- [SAST Triage](https://konvu.com/product/sast-triage): Validates static analysis findings against runtime context to kill false positives
- [Container Triage](https://konvu.com/product/container-triage): Deduplicates and prioritizes container CVEs by actual exposure
- [Bug Bounty Triage](https://konvu.com/product/bug-bounty-triage): Automated reproduction and verdicts for HackerOne/Bugcrowd submissions
- [Integrations](https://konvu.com/integrations): 70+ scanners, ticketing systems, and AI coding agents

## Solutions

- [Automate Vulnerability Triage](https://konvu.com/solutions/automate-vulnerability-triage): Automatically triages SCA, SAST, and container findings and dismisses what isn't exploitable, with evidence attached
- [Risk-Based Prioritization](https://konvu.com/solutions/risk-based-prioritization): Rank findings by actual risk, not CVSS
- [Reduce False Positives](https://konvu.com/solutions/reduce-false-positives): Closes false positives with the evidence that ruled each one out, so dismissals hold up to a re-check
- [Automate Remediation](https://konvu.com/solutions/automate-remediation): Ships fix pull requests for code changes, with the evidence attached
- [Compliance](https://konvu.com/solutions/compliance): Audit-ready evidence trails for SOC 2, ISO 27001, PCI DSS, and the EU Cyber Resilience Act
- [Guardrails](https://konvu.com/guardrails): Konvu Guardrails maps private application context, derives security invariants, and checks relevant changes in coding agents or CI. Early access.
- [Reachability Analysis](https://konvu.com/solutions/reachability-analysis): Code path and data-flow analysis beyond static reachability

## Customers

- [Customers Overview](https://konvu.com/customers): Konvu deployments across fintech, retail, and SaaS
- [Fortune 500 Retail Case Study](https://konvu.com/customers/fortune-500-retail): Scaling vuln triage at retail scale
- [Fintech SaaS Case Study](https://konvu.com/customers/fintech-saas): Audit-ready triage for a regulated fintech

## Key Integrations

- [Snyk](https://konvu.com/integrations/snyk): Triage Snyk findings with reachability + exploitability evidence
- [Semgrep](https://konvu.com/integrations/semgrep): Validate Semgrep rules against runtime context
- [Arnica](https://konvu.com/integrations/arnica): Triage SCA, SAST, and ASPM findings with exploitability evidence
- [Checkmarx](https://konvu.com/integrations/checkmarx), [Veracode](https://konvu.com/integrations/veracode), [SonarQube](https://konvu.com/integrations/sonarqube): Enterprise SAST triage
- [Black Duck](https://konvu.com/integrations/black-duck): Enterprise SCA triage with exploitability evidence
- [GitHub](https://konvu.com/integrations/github), [GitLab](https://konvu.com/integrations/gitlab), [Dependabot](https://konvu.com/integrations/dependabot): SCM + dependency alerts
- [Wiz](https://konvu.com/integrations/wiz), [Prisma Cloud](https://konvu.com/integrations/prisma-cloud), [AWS Inspector](https://konvu.com/integrations/aws-inspector): Cloud/container findings
- [Jira](https://konvu.com/integrations/jira), [ServiceNow](https://konvu.com/integrations/servicenow), [Linear](https://konvu.com/integrations/linear): Ticketing writebacks
- [Codex](https://konvu.com/integrations/codex), [Claude Code](https://konvu.com/integrations/claude-code), [Cursor](https://konvu.com/integrations/cursor): Exploitability evidence, remediation guidance, and Guardrails security invariants inside coding tools

## Blog

- [Why Static Code Reachability Is Not Enough](https://konvu.com/blog/reachability-vs-exploitability): Exploitability vs reachability explained with CVE examples
- [Reachability Analysis Deep Dive](https://konvu.com/blog/reachability-analysis): How Konvu does multi-layer reachability
- [The Future of Vulnerability Management](https://konvu.com/blog/agentic-vulnerability-management): Why agentic AI changes triage
- [Scaling Vulnerability Triage Without Breaking Audits](https://konvu.com/blog/scale-vulnerability-triage-audit-requirements): Keeping compliance evidence while automating
- [The False-Positive Tax on Open Source](https://konvu.com/blog/false-positive-tax-open-source): Quantifying wasted dev time on non-exploitable CVEs
- [The Maze of Maven Dependencies](https://konvu.com/blog/maze-of-maven-dependencies): Why Java SCA results are especially noisy
- [Dynamic Instrumentation for Java Exploitability](https://konvu.com/blog/dynamic-instrumentation-java): Runtime evidence for JVM apps
- [KonvuPero: Our Agent Framework](https://konvu.com/blog/konvupero-agent-framework): Internal agent framework design
- [What Ghazi Taught Us About In-Context Learning](https://konvu.com/blog/what-we-learned-when-ghazi-taught-us-about-context-learning): Applied AI lessons
- [The Bug-Bounty Reproduction Challenge](https://konvu.com/blog/bug-bounty-reproduction-challenge): Auto-reproducing HackerOne reports
- [GitHub App Admin Approval Workflows](https://konvu.com/blog/github-app-admin-approval-workflows): Lessons shipping a GitHub App

## Comparisons

- [Snyk vs Semgrep 2026](https://konvu.com/compare/snyk-vs-semgrep): Independent benchmark data, pricing, features
- [Snyk vs SonarQube](https://konvu.com/compare/snyk-vs-sonarqube): SCA-heavy vs SAST-heavy enterprise platforms
- [Semgrep vs CodeQL](https://konvu.com/compare/semgrep-vs-codeql): Rules engines for SAST
- [Semgrep vs SonarQube](https://konvu.com/compare/semgrep-vs-sonarqube): Developer-first SAST vs legacy SAST
- [Checkmarx vs Veracode](https://konvu.com/compare/checkmarx-vs-veracode): Enterprise SAST head-to-head
- [SCA vs SAST](https://konvu.com/compare/sca-vs-sast): Category primer

## Resources

- [The AI Application Security Checklist](https://konvu.com/checklists/ai-application-security): An AI application security checklist of 59 checks across 6 categories and 3 maturity levels, for evolving AppSec from a human scanner queue to an agentic loop. Categories: know what can be hit, find what matters continuously, prioritize by exploitability, fix through automation, contain the blast, govern the machine. Levels run from Reactive (humans do the work) to Automated (machines act, humans approve) to Autonomous (the system acts inside bounds humans set). Written for the post-Mythos era: Claude Mythos is Anthropic's autonomous vulnerability-discovery model, announced as part of Project Glasswing, which accelerates exploit generation against software at machine speed.
- [ROI Calculator](https://konvu.com/resources/calculator): Estimate savings from exploitability-based triage
- [Datasheet](https://konvu.com/resources/datasheet): One-page product summary
- [Latio AppSec Report 2026](https://konvu.com/resources/latio-appsec-report-2026): Independent analyst coverage
- [Sign Up](https://app.konvu.com/): Free trial, then self-serve sign-up for the Business plan. $2,000/month for 400 confident triage verdicts. Month-to-month, cancel anytime.
- [Book a Demo](https://konvu.com/demo): Live walkthrough with an engineer. Use this path for Enterprise pricing or pilots.

## Company

- [About](https://konvu.com/about): Team, investors, and background
- [Pricing](https://konvu.com/pricing): Two plans, with a free trial before either. Business — $2,000/month including 400 confident triage verdicts and automated fix PRs (self-serve sign-up at https://app.konvu.com/, month-to-month, cancel anytime). Enterprise — custom pricing for organizations needing bug bounty reproduction, push integrations (Jira, GitHub, ServiceNow), self-hosted analysis, SSO, SCIM, audit logs, or scale beyond 400 verdicts/month. Konvu charges only for delivered work: confident triage verdicts and successful fix PRs. Inconclusive runs and failed PRs are free. Going over 400 in a month is negotiable: the plan can be capped so nothing runs past budget, or the overage billed.
- [Security](https://konvu.com/security): Security program overview
- [Trust Center](https://trust.konvu.com): SOC 2 Type II reports and posture
- [Press](https://konvu.com/press): Press mentions and media kit

## Optional

- [Privacy Policy](https://konvu.com/policies/privacy)
- [Terms](https://konvu.com/policies/terms)
- [Cookies](https://konvu.com/policies/cookies)
- [DSAR](https://konvu.com/policies/dsar)