Vaultak brings runtime governance to AI agents—blocking risky actions before they run

Key takeaway

• Vaultak is a runtime governance layer that sits between AI agents and the systems they access—databases, files, APIs, processes. It intercepts every action before execution, scores it for risk, enforces policies (alert, pause, or rollback), and logs everything in a dashboard.

• The product launches with two deployment options: an SDK wrapper or a zero-code desktop app.

• It matters because 92% of security leaders worry about AI agent security, only 6% of organizations have an advanced strategy, and the average AI breach costs $4.6M.

3 Key Points

Context & Analysis

FAQ

How do I deploy Vaultak without changing my agent code?

Use Vaultak Sentry, the desktop app. Download it for Mac, Windows, or Linux, or run `vaultak-sentry run python agent.py`. It works with Python, Node.js, Ruby, and Go—zero code changes required.

What happens when Vaultak detects a policy violation?

You choose the response mode: Alert (log and continue), Pause (agent halts for human review), or Rollback (Vaultak reverses the last N actions automatically, pauses the agent, and returns systems to a known-good state).

What data does Vaultak collect from my agents?

Vaultak logs action type, resource path or hostname, timestamp, and risk score. It never reads file contents, environment variable values, or database payloads. Infrastructure is SOC 2 Type II certified, and multi-tenant isolation is architectural (cross-tenant access is architecturally impossible).