Security and Governance

Every AI action should operate inside enterprise-defined policy, identity, risk, and accountability.

Aegora separates decision, governance, and execution so the enterprise can decide what AI may do, what requires approval, what evidence must be retained, and when a human must take over.

This page uses precise language about the controls present in the architecture and marks replay, recovery, and broader deployment profiles as supported where the current architecture indicates them.

Control Points

Governance is part of the operation, not an afterthought.

These controls are the difference between a model-assisted runtime and an uncontrolled automation layer.

Identity and authorizationRuntime participation is scoped through enterprise-defined identity and authorization controls rather than implicit tool access.

RBAC and ABACRole-based and attribute-based controls shape which users, paths, actions, and approvals are permitted in a tenant context.

Policy enforcementEvery action passes through policy evaluation before execution is allowed, blocked, or routed to review.

Human approvalsHigh-risk, privileged, destructive, and high-blast-radius actions branch through explicit approval requirements.

Bounded actionsModels can recommend. The runtime authorizes. Action services execute within allowlisted and policy-aware boundaries.

Audit and explainabilityAegora preserves decision rationale, policy basis, evidence references, execution history, and outcome validation for later review.

Replay and recovery where supportedThe architecture is designed to support deterministic workflow replay and recovery paths through the runtime and orchestration layer.

Data control and tenant isolationThe platform is multi-tenant by design and describes tenant isolation, tenant-scoped configuration, and private deployment control as first-class concerns.

Security Next Step

See how control points map into the platform and runtime.

Start with the platform architecture for the control plane view, then inspect runtime behavior in the product experience.

Explore the Platform Open Product Experience