Create and manage governance policies applied to your AI systems. Policies define the rules Aegis enforces — automatically or with human approval.

Policy vs Rule: A Policy is a set of rules applied to one or more AI systems. A Rule is a specific condition within a policy — e.g. “Block decisions where demographic proxy score > 0.8”. Policies are versioned. Every change creates a new version with a full audit trail.
AI Control Plane / Policies

Policies

Rules that enforce automatically across every AI system

New Policy
Active Policies
6
Block Rules
4
Flag Rules
2
Regulations Covered
6
AI Code
Policy IDPolicy NameScopeRegulationEnforcementTriggeredStatusOwnerVersion
MFG-006
GenAI Consumer Interaction Policy
Controls LLM and agent use in customer-facing apps.
ALLUDAAPFLAG0 / 0
ACTIVE
M. Torres
MFG-005
FRTB Internal Model Approach Policy
Governs market risk IMA models under FRTB.
ALLFRTBFLAG0 / 0
ACTIVE
James Liu
MFG-004
AML Transaction Monitoring Controls
Ensures AML models meet FinCEN SAR-filing thresholds.
ALLFinCEN BSABLOCK0 / 0
ACTIVE
Priya Sharma
MFG-003
CCAR/DFAST Stress Testing Governance
Ensures stress testing models meet Fed supervisory expectations.
ALLCCAR/DFASTBLOCK0 / 0
ACTIVE
Sandra Reyes
MFG-002
ECOA Fair Lending Compliance
Prohibits discriminatory use of AI in credit decisions.
ALLECOA/Reg BBLOCK0 / 0
ACTIVE
Dev Kapoor
MFG-001
SR 11-7 Model Risk Management
Governs model dev, validation, and use across all risk models.
ALLSR 11-7BLOCK0 / 0
ACTIVE
M. Torres
ECOA / Fair Lending
Lending models — demographic proxy detection active
0 active policies
OCC SR 11-7
Model risk management — confidence, versioning, human review
1 active policy
OSFI B-10
Third-party AI risk — registration enforcement, AML escalation
0 active policies
Policy Checks
No policy checks recorded yet
Policy checks appear here when an AI system makes a decision that triggers a governance rule. Decisions are logged in real time once a system is connected.