Security and governance infrastructure for the age of AI agents.
AI agents are moving from prototypes to production. They call tools, spend money, handle sensitive data, and take actions on behalf of your organization — often without a human in the loop. The security posture of most deployments reflects how fast that transition happened.
DrakoLabs builds the infrastructure to govern what agents can do: before you ship, and after you deploy.
Drako — AI Agent Security & Governance Platform
Static analysis and runtime enforcement for AI agent systems. Scan your codebase before deployment. Enforce policy at the tool call level in production. No cloud dependency required.
What it does:
- Static scanning — 97 deterministic rules across security, governance, compliance, determinism, and operational boundaries. No LLM in the evaluation loop. Same code, same result, every time.
- Agent BOM — Inventory every agent, tool, model, framework, and dependency in your codebase. Pure AST. Fully offline.
- Runtime enforcement — A 13-stage policy pipeline on every tool call. DLP, HITL checkpoints, circuit breakers, spend caps, cryptographic audit trail.
- Proxy mode — Out-of-process enforcement. Zero code changes. The agent cannot bypass what doesn't run in its process.
- EU AI Act alignment — Articles 9, 11, 12, and 14 covered. Audit-ready from day one.
Governance overhead under 0.3% of a typical LLM call. P99 full scan under 4ms.
Determinism over inference. Rules are static and reproducible. No model decides whether your agent is safe.
Depth over dashboards. Reachability analysis separates real risk from theoretical exposure. A dangerous tool no agent actually calls is flagged — not treated as critical.
Offline first. Scanning requires no account, no network, no vendor dependency. Governance infrastructure should not itself be a single point of failure.
Lifecycle coverage. Security posture is established at development time and enforced at runtime. Both layers matter.
The frameworks are maturing. The regulations are arriving. The attack surface is expanding — prompt injection, tool misuse, runaway spend, unaudited actions, cascading multi-agent failures.
Drako is built for teams that are shipping agents to production now and need governance infrastructure that keeps up.