Runtime security for the age of autonomous AI

Vaultak was built because AI agents are being deployed into production systems with no governance layer — and the tools to fix that didn't exist.

The problem we're solving

AI agents are different from traditional software. They don't follow a fixed execution path — they reason, plan, and act autonomously. A single misconfigured agent can delete files, exfiltrate data, or make thousands of irreversible API calls before anyone notices.

Existing security tools protect the perimeter. Firewalls, WAFs, and IAM systems guard the edges of your infrastructure — but they have no visibility into what happens inside once an agent has access. Vaultak fills that gap.

What we built

Behavioral monitoring

Every action an agent takes is intercepted, scored across five risk dimensions, and logged in real time. Anomalies are detected automatically as agents deviate from their learned baseline.

Permission profiles

Developers declare exactly what an agent is allowed to do — which action types, which resources, at what rate. Anything outside those boundaries is blocked before it executes.

Automatic rollback

When a violation is detected, Vaultak can automatically reverse the last N agent actions and pause the agent for human review. No other tool does this.

Our mission

We believe autonomous AI systems need the same governance infrastructure as any other critical system. Our mission is to make deploying AI agents safe — without slowing down the developers building them.

Get started free Read the docs