Govern every agent.
Before it acts.
None of this feels risky in the moment. It just feels like getting work done.
Detect → Map → Govern → Prove → Undo
One platform to discover, control, and audit every AI agent in your organization.
Detect
Agents discovered via API gateway, network DLP, SSO logs, and expense audits. Shadow agents flagged automatically.
Map
Data stores classified by sensitivity and region. "Toxic combination" alerts when an unverified agent can reach PII.
Govern
Registered purpose, scoped access, cryptographic identity with short-lived credentials, HITL gates, kill switch.
Prove
Evidence stakeholders can trust. One policy crosswalks to every framework. One-tap audit reports power your ship/no-ship decision.
Undo
Full action ledger where every agent write can be rolled back. One-click reversal of unintended changes.
Defense in depth for AI agents
Every agent action passes through seven layers of runtime governance. No gaps, no blind spots.
Traceability
Audit-grade ledger recording every agent action, decision, and data touchpoint.
Containment
Quarantine and isolation of agents showing anomalous behavior before harm propagates.
Reversibility
Tamper-proof rollback of any agent action. Every write can be undone.
Decision Authority
Human-in-the-loop gates on all external side effects. No autonomous write without approval.
Failure Protocols
Configurable retry, degrade, halt, or notify on failure — no silent errors.
Observability
Streaming evidence feed with real-time trust scores — never a stale snapshot.
Intervention
Global kill switch. Halt all agent activity instantly when an incident is detected.
Memory Governance
"Memory informs. Authority resolves. Enforcement executes."
No other solution prevents agents from acting on remembered context that has outlived authorization. SinzAI's memory governance module ensures that when an agent's permission to access a dataset expires, that knowledge is no longer available for action — even if the agent remembers it.
- Authorization-bound context windows
- Automatic memory revocation on permission expiry
- Runtime enforcement — no stale context leaks through
Aligned with CISA's May 2026 Agentic AI Guidance
SinzAI is built around the five risk categories defined in CISA's "Careful Adoption of Agentic AI Services" guidance.
One policy crosswalk. One-tap audit reports. Evidence your board, auditors, and regulators can trust — not a spreadsheet in sight.
Governance that pays for itself
Token and usage limits per team means the governance layer reduces your cloud AI spend from day one. Finance teams get cost visibility; security teams get control — the wedge that opens the door before the compliance conversation.
- Per-team token budgets with real-time tracking
- Usage alerts and automatic throttling
- Cost allocation by agent, team, and purpose
See it in action
Explore the SinzAI governance console live. Browse agents, inspect policies, audit the action ledger, and see compliance mappings — all running in real time.
Ready to govern your agents?
Join the early access program. Be among the first to bring runtime governance to your AI agent deployments.
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