How Konvu Agents extend your vulnerability management
The Konvu platform is the substrate Konvu Agents ride on. It connects the agents to your existing tools, carries the evidence trail, enforces your autonomy controls, and lets the agents operate at machine speed inside the tools your team already uses.
Continuous, not periodic
Konvu Agents run continuously. Findings get investigated as they arrive, not in a weekly batch.
Lives in your tools
Decisions, evidence, and PRs land in your scanners, your ticketing system, your Slack, your GitHub. No new dashboard.
Evidence-backed by construction
Every decision Konvu Agents make is backed by a reproducible reasoning trace. Auditors get the same artifact your engineers do.
Humans stay in the loop
Each agent operates at the autonomy level you set: recommend only, act with approval, or autonomous. You decide where humans review.
Built for the Mythos era
In April 2026, Anthropic announced Claude Mythos: an AI model that autonomously discovered thousands of zero-days across every major operating system and browser in weeks, including bugs that had been undetected for 27 years. Anthropic estimates a 6–12 month window before adversaries replicate the capability. Project Glasswing gave Mythos to a short list of hyperscalers. Konvu Agents are built for everyone on the other side of that window, operating at the same speed the discovery side has reached.
Konvu writes back. It doesn't ask you to live in a dashboard.
Konvu Agents output verdicts, evidence, pull requests, and audit notes that write back into the tools your team already opens every day. Your scanner of record stays the source of truth. Your ticketing system stays the system of record. Konvu adds the analysts, not another UI.
Every decision is reproducible
When Konvu Agents dismiss a finding, escalate one, or ship a fix, the platform captures the reasoning: which conditions were checked, which were met, which code was inspected, which sources were cited. Auditors can replay it. So can your engineers when they want to challenge the call.
Set the leash per agent
Each agent on the team operates at one of three autonomy levels: recommend only, act with approval, or autonomous. You set the level per agent and per repository. Trust grows the same way you onboard a new engineer. Start cautious, expand as the track record builds.
The team is the team because the agents talk to each other
When a triage analyst confirms an exploitable dependency, it hands off to the Remediation Engineer. When the Pentester reproduces a report, the result feeds back into the triage analysts' knowledge. The platform is what carries the hand-offs and the evidence between them.