# 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 is an agentic AI layer that verifies real exploitability across your stack before attackers get there first, and hands developers everything they need to fix what actually matters. No new scanner required: Konvu sits on top of your existing SAST, SCA, container, DAST, and bug-bounty tools, runs AI-driven exploitability and reachability 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. Not a scanner, not a dashboard. Self-serve sign-up at https://app.konvu.com/ on the Business plan ($2,000/month for 500 confident triage verdicts, cancel anytime); Enterprise pricing is custom and unlocks automated fix PRs, 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.

## For agents

Konvu derives the security invariants a codebase must hold (trust boundaries, access rules, fixed vulnerability classes) and enforces them deterministically at three layers: (1) MCP, advisory, in the agent loop (mcp.konvu.com, query invariants before writing); (2) local pre-commit hooks, fast red/green feedback; (3) the Konvu GitHub App, authoritative, a required status check on every pull request that cannot be bypassed with --no-verify. Invariants are derived from the environment (code, deployment, and findings Konvu has proven exploitable with reproduction), committed to the repository as versioned executable artifacts with provenance, and evaluated in seconds with deterministic verdicts: same input, same verdict, regardless of which model wrote the code. A red check carries the violated invariant and the code path; iterate and re-push until green. What merges is code that keeps the invariants. Install: github.com/apps/konvu. Early access.

- [Guardrail Engineer](https://konvu.com/agents/guardrail-engineer): Konvu Guardrails, the agent that derives and enforces security invariants. Early access.

## Agents

- [Threat Model Engineer](https://konvu.com/agents/threat-model-engineer): Ranks findings by what they threaten — profiles every repo (exposure, access, blast radius, stakes, attackers, runtime) into a named tier with cited evidence
- [Application Security Engineer](https://konvu.com/agents/application-security-engineer): Triages SAST and SCA findings against your code and dependencies
- [Cloud Security Engineer](https://konvu.com/agents/cloud-security-engineer): Triages cloud and container findings against your actual workloads and runtime
- [Vulnerability Researcher](https://konvu.com/agents/vulnerability-researcher): Researches every CVE and encodes its applicability conditions
- [Security Response Engineer](https://konvu.com/agents/security-response-engineer): Reproduces vulnerability reports end-to-end and confirms fixes work
- [Remediation Engineer](https://konvu.com/agents/remediation-engineer): Ships dependency upgrades and security fixes as pull requests
- [Mitigation Engineer](https://konvu.com/agents/mitigation-engineer): Writes and deploys WAF rules to close the exploit window while the fix ships

## Product

- [Product Overview](https://konvu.com/product): How the agentic triage layer works end-to-end
- [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
- [Auto-Fix](https://konvu.com/product/auto-fix): AI-generated remediation pull requests with evidence
- [Integrations](https://konvu.com/integrations): 70+ scanners, ticketing systems, and AI coding agents

## Solutions

- [Exploitability Analysis](https://konvu.com/solutions/exploitability-analysis): Evidence-backed verdicts on real exploitability
- [Reachability Analysis](https://konvu.com/solutions/reachability-analysis): Code path and data-flow analysis beyond static reachability
- [Risk-Based Prioritization](https://konvu.com/solutions/risk-based-prioritization): Rank findings by actual risk, not CVSS
- [Compliance](https://konvu.com/solutions/compliance): Audit-ready evidence trails for SOC 2, PCI, FedRAMP
- [Shift-Left](https://konvu.com/solutions/shift-left): Triage at PR time before findings reach production backlogs
- [For AppSec Teams](https://konvu.com/solutions/appsec-teams): Scale a small AppSec team across thousands of findings
- [For Developers](https://konvu.com/solutions/developers): Stop chasing false positives; ship fixes that matter
- [For Security Leaders](https://konvu.com/solutions/security-leaders): Program-level risk reduction metrics

## 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
- [Claude Code](https://konvu.com/integrations/claude-code), [Cursor](https://konvu.com/integrations/cursor): Agentic fixes inside AI 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/): Self-serve sign-up for the Business plan. $2,000/month for 500 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. Business — $2,000/month including 500 confident triage verdicts (self-serve sign-up at https://app.konvu.com/, month-to-month, cancel anytime). Enterprise — custom pricing for organizations needing automated fix PRs, push integrations (Jira, GitHub, ServiceNow), self-hosted analysis, SSO, SCIM, audit logs, or scale beyond 500 triages/month. Konvu charges only for delivered work: confident triage verdicts and (Enterprise) successful fix PRs. Inconclusive runs and failed PRs are free.
- [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)