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ATTESTATION_PROTOCOL

Accountability infrastructure for
AI agents

Cryptographic proof of what agents did, verified against physical reality. Defensible deployment from day one.

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// Live attestation feed
TRIGGER trg_018d5f3c ● VERIFIED
├─ actor: user_josh
├─ input: "Summarize Q3 earnings report"
└─ attestations: 7/7 ✓
ATTEST att_9abc7def ○ PENDING
└─ tool: web_search → verifying seal...
THE_GAP

The missing layer between action and accountability.

80%
risky behaviors reported
McKinsey
73%
rollouts paused for liability
Enterprise AI Survey
$4.2M
avg. compliance failure cost
IBM Security
PRIMITIVES

Four building blocks for defensible AI.

◈
Warrant System
Every agent action requires explicit authorization with bounded parameters.
◉
Physics Engine
Validate agent claims against physical reality. Impossible outcomes rejected.
◎
Checkpoint Surety
Rollback insurance for high-stakes operations. Safe recovery points.
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Sealed Context
Cryptographic proof of decision context. Tamper-proof records.
"Permission is not proof."

The question isn't "should this agent act?" It's "can we prove what this agent did?"

DESIGN_PARTNERS

Shape the future of AI agent liability.

We're selecting enterprise teams to co-develop mdash's governance primitives. Direct access, priority roadmap, preferred terms at GA.

◈
Direct Access
Weekly syncs with core team
◉
Priority Roadmap
Your use cases shape direction
◎
Preferred Terms
Locked-in pricing at GA
◇
Early Access
6+ months before GA