Aegis turns policy documents into signed runtime authority, then independently checks AI actions before they touch tools, APIs, workflows, or data systems.
Copilot, Salesforce agents, ServiceNow workflows, and custom LLM apps can draft, route, update, call APIs, trigger workflows, and affect real systems. The system proposing an action should not be the only system deciding whether that action is allowed.
Retrieving a policy into model context may help answer questions, but it still leaves the model as interpreter. The model may receive governed context, but it should not hold authority.
Monitoring can tell you what happened. Runtime control decides whether the action is allowed before it reaches APIs, workflows, records, or data systems.
Aegis does not replace enterprise AI tools. It provides the independent control point between those tools and the systems they affect.
Microsoft Copilot, Salesforce Agentforce, ServiceNow, internal workflows, custom LLM apps.
Validates proposed actions against signed runtime authority before any system is touched.
APIs, workflows, data systems, SaaS platforms, records, customer communications.
A policy upload does not become a prompt. It becomes source evidence, then reviewed governance material, then signed runtime authority.
Policy, standard, procedure, evidence, or internal control material is uploaded.
Scope, metadata, storage refs, content digest, and source-span chunks are recorded.
Obligations, prohibitions, permissions, exceptions, approvals, and action implications are extracted as candidates.
Only approved clauses can feed the compiler. Rejected or unreviewed clauses cannot become active governance.
The rules are structured, and the operating boundary is defined.
Governance objects are deterministically packaged, hashed, and signed.
Aegis verifies the signed runtime state before activation.
Baseline is the floor. Organisation policy is the overlay. Department policy is the local operating envelope. The agent or workflow scope becomes the runtime enforcement point.
Each layer narrows the operating envelope for the layer beneath it. The runtime does not enforce a loose PDF, a summary, or a prompt. It enforces the active signed version of the full scoped stack.
Internal policy can add local requirements, procedures, approval rules, and stricter controls. It should not silently weaken the baseline floor.
For a governed action, the evidence chain can show which baseline, organisation overlay, department overlay, trust region, and runtime HEAD applied.
Aegis verifies the signed runtime HEAD, checks the trust region, maps the operation to active policy authority, and only permits execution when the decision is allow.
The internal names matter for implementation. The buyer outcome is simple: build authority, enforce authority, reason inside authority, prove the chain.
Policy evidence becomes reviewed, signed governance.
Proposed actions are checked before execution.
Grey areas stay inside the trust region.
Every stage is recorded as verifiable evidence.
Most platforms put policy around AI. Aegis puts policy in the execution path.
| Approach | What it does | What Aegis does instead |
|---|---|---|
| Document repository | Stores policy text | Constructs signed runtime authority |
| RAG | Retrieves policy context | Builds verified governance objects |
| GRC platform | Tracks controls | Enforces at the action boundary |
| Prompt guardrails | Instruct the model | Verifies before execution |
| Logging | Records after the fact | Controls before action |
| Human approval flow | Does not scale alone | Trust regions route decisions |
For any governed action, the evidence chain can show the policy state, the runtime boundary, the decision path, and the outcome.
Choose one workflow. Upload the relevant policies. Build the governance package. Activate runtime authority. Run allow, deny, escalate, and fail-closed cases. Inspect the evidence chain.
20-minute technical brief · Bring one governed workflow · We show the chain