Runtime Authorization
Runtime authorization is enforcement that happens at the moment of execution — not before the agent starts, and not after the tool runs.
Why it matters for AI agents
AI agents make tool calls dynamically. The set of calls an agent will make cannot be fully enumerated at deploy time. Prompt instructions, fine-tuning, and output filters all operate on text and model behavior. None of them are enforcement mechanisms in the software security sense.
Runtime authorization answers a different question: should this specific tool call, with these specific arguments, be executed right now?
This is the same question that IAM, Open Policy Agent, and API gateways answer for non-AI systems. ShadowAudit brings that model to AI agent tool use.
Where ShadowAudit enforces
Agent → [ShadowAudit Gate] → Tool
The gate sits at the boundary between the agent and the tool. It receives the structured arguments the agent is passing to the tool — not a prompt, not a response, but the actual JSON or string payload that would cause the tool to act.
Enforcement happens before tool.run() is called. If a call is denied, the tool function is never invoked.
What ShadowAudit evaluates
The gate receives:
agent_id: which agent is making the callcapability: the type of action being requested (e.g.,shell.execute,payments.transfer)payload: the tool arguments (command string, amount, file path, etc.)policy_context(optional): runtime metadata like environment, user role, tenant
It evaluates these against a policy and returns one of three decisions: allow, deny, or require_approval.
Comparison to alternative approaches
| Approach | When it runs | Deterministic? | Covers tool execution? |
|---|---|---|---|
| System prompt instructions | Before the agent starts | No | No |
| Output filters / moderation | After the model generates | No | No |
| ShadowAudit gate | At tool call time | Yes | Yes |
Runtime authorization does not replace prompt design or output monitoring. It is the enforcement layer that makes the others auditable: you can verify that policy was actually applied at the point where consequences occur.