Governance Enforced the Moment an Agent Acts.
Policy documents tell AI agents what they should do. Xcigence enforces governance at the operational data layer, evaluating every agent action against your controls before it touches sensitive data, systems, or decisions.
Read payroll table
Finance Copilot
Export customer PII
Support Agent
Update vendor record
Procurement Bot
Push to production
Code Assistant
Illustrative demonstration data: agent actions evaluated in real time.
Enforcement, not intention
Policy-only governance relies on every agent behaving as designed and finds violations weeks later in an audit. Xcigence moves governance into the data path itself.
- Controls applied to data, not documents
- Every read, write, and action evaluated in real time
- Unauthorized actions blocked before they land
Context-aware decisions
Each agent action is judged against identity, data sensitivity, purpose, and live risk posture, so legitimate work keeps moving while risky behavior is stopped.
- Agent identity and delegated-permission checks
- Data classification and residency awareness
- Risk-adaptive allow, redact, escalate, or deny
Proof for every action
Every decision becomes immutable, auditable evidence mapped to the frameworks regulators and boards expect.
- Tamper-evident log of agent decisions
- EU AI Act, NIST AI RMF, and ISO 42001 mapping
- Board-ready AI governance reporting
Continue the conversation
Put your AI agents under real governance.
See how Xcigence evaluates and enforces live agent actions at the data layer in a guided demo.