Documentation

SinzAI Product Documentation

SinzAI is a runtime governance layer for enterprise AI agents — a unified control plane for security, compliance, and engineering teams.

"None of this feels risky in the moment. It just feels like getting work done."

What SinzAI Does

Modern enterprises deploy AI agents to handle everything from customer support to financial analysis. These agents operate with broad autonomy — reading data, calling APIs, sending emails, and modifying records. Without runtime governance, every agent action is a potential security incident waiting to happen.

SinzAI provides the control plane. It sits between your agents and your infrastructure, enforcing policy at runtime — not at design time, not at review time, but in the moment every action is about to occur.

The Five Pillars

Detect

Discover every agent in your organization — registered or shadow — through API gateways, network DLP, SSO logs, and expense audits.

Map

Classify data stores by sensitivity and region. Flag toxic combinations where unverified agents can reach PII or regulated data.

Govern

Register purpose, scope access, issue cryptographic identity, gate external side effects with human-in-the-loop approval, and deploy kill switches.

Prove

Evidence stakeholders can trust — one-policy crosswalk to every framework. One-tap audit reports power your ship/no-ship decision.

Undo

Full action ledger — every action traceable to agent ID, model version, prompt, and data source. One-click rollback of any agent write.

Anchored to CISA Guidance

SinzAI is built on the foundation of CISA's May 2026 Careful Adoption of Agentic AI Services guidance, covering five risk categories: privilege escalation, design/configuration flaws, behavioral misalignment, cascading failures, and accountability opacity. Every feature maps to a risk category that federal agencies and regulated enterprises are required to address.

Where to Start