
AI agents that verify exploitability and automate remediation
The Entire Cybersecurity Market, One Prompt Away
Connect your AI assistant to ... tools and ... vendors. Ask anything about the cybersecurity market.
Konvu is an AI-powered vulnerability triage and remediation platform. Rather than replacing existing security scanners, Konvu integrates with them to autonomously investigate, triage and remediate findings from tools such as Checkmarx, Veracode, Black Duck, Snyk, Semgrep, Dependabot, Wiz, Mend, Contrast, and Palo Alto Networks. The platform addresses the challenge of alert fatigue and vulnerability backlog by distinguishing between vulnerabilities that are theoretically severe and those that are actually exploitable in a given environment. Konvu's AI agents analyze findings from Software Composition Analysis (SCA), Static Application Security Testing (SAST), Container Scanning, Bug Bounty tools, providing evidence-backed triage decisions and remediations for every finding. Key capabilities include: - SCA Triage: Identifies which open-source dependency vulnerabilities are exploitable in the customer's specific environment - SAST Triage: Confirms which code patterns flagged by static analysis tools represent real exploitable issues - Auto-Fix: Generates code fixes, updates dependencies, adds tests, and can open pull requests with full context - Workflow Sync: Integrates triage decisions into existing ticketing and development tools such as Jira, Linear, GitHub, GitLab, Azure, and ServiceNow Konvu is SOC 2 Type II certified and can be deployed on Konvu's cloud or within a customer's own infrastructure. The platform is designed for enterprise security teams and reduces vulnerability noise by over 90%. Customer code is not stored by Konvu or used for model training.