Identity tells you who someone is. Policy tells you what they're allowed to do. Neither tells you what they've actually done. That's the gap.
Every entity in your environment passes the same two checks: identity verification and policy authorization. But those checks return identical results for entities with fundamentally different risk profiles.
| Identity Layer Who they are |
Policy Layer What they can do |
Participation History What they've done |
|
|---|---|---|---|
| New HireHuman | ✓ Valid | ✓ Authorized | ✗ Tier 0 No history |
| 10-Year EmployeeHuman | ✓ Valid | ✓ Authorized | ✓ Tier 3 200+ events, 90+ days |
| New AI AgentService | ✓ Valid key | ✓ Authorized | ✗ Tier 0 No history |
| Established AgentService | ✓ Valid key | ✓ Authorized | ✓ Tier 2 50+ events, 30+ days |
When a high-stakes action is requested, MIR's policy engine checks the entity's accumulated participation history and returns a recommendation: ALLOW, STEP_UP, LIMIT, or DENY.
MIR is participation history infrastructure. It records what entities have actually done over time and surfaces that history as a signal at the point of decision. It is not an identity provider, a policy engine, or a scoring system. It is the evidence layer that sits underneath your existing authorization stack.
Before granting elevated access, check the requester's behavioral track record. Reduce blind trust in new identities.
An agent spawned 5 minutes ago and one operating for 90 days are not the same risk. Your system should know the difference.
Auditable, timestamped record of what entities actually did. The kind of evidence regulators want to see.
When a transaction triggers a review, see the entity's full behavioral history instantly. Pattern recognition at the point of decision.
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