AI agents are making high-stakes decisions with zero proof.
Every compliance person in the country gives a blank stare when asked how to fix this. Here are five scenarios happening right now.
📈
Trading
A trading agent executes a $50M order and claims it received different instructions.
No proof. No accountability.
☤️
Medical
A medical AI recommends a treatment but can't prove what data it was given.
No proof. No accountability.
⚖️
Legal
A legal AI drafts a contract — the output is modified before the lawyer sees it.
No proof. No accountability.
🔎
Fraud Detection
A fraud detection system is fed manipulated inputs and produces a clean result.
No proof. No accountability.
🤖
Autonomous Systems
An autonomous system causes harm and points to the previous agent in the chain.
No proof. No accountability.
Interactive Demo
See the protection in real time.
Toggle layers on and off. Launch attacks. Watch what happens.
Interactive demo — sample data. The attacks and layer responses below are illustrative and run entirely in your browser; nothing is executed against a real agent. This expresses how Agent-008 governs AI agent decisions: Agent-008 →
AGENT A
Data Ingestion
Collects & validates inputs
0 attestations
AGENT B
Analysis
Processes & evaluates data
0 attestations
AGENT C
Decision
Makes critical determinations
0 attestations
AGENT D
Execution
Acts on verified decisions
0 attestations
BLOCKED — Binary Integrity Verified
BLOCKED — Data Encrypted via FHE
BLOCKED — Signature Mismatch Detected
0
Threats Blocked
[--:--:--.---]Pipeline initialized. All layers active. Awaiting simulation.
The Three Layers
Defense in depth. Cryptographic certainty.
Each layer eliminates a class of attack. Together, they close every gap in the agent trust chain.
🛡️
ZK-Verify: Binary Integrity
Every agent binary is attested with a zero-knowledge proof before execution. If a single byte changes, the proof fails and the pipeline halts.
8 proof types supported
0 false positives in production
All tests passing
🔒
AI-Blind: Fully Homomorphic Encryption
Agent-to-agent data is encrypted under FHE. Agents compute on ciphertext without ever seeing plaintext. Interception yields nothing.
Zero plaintext window
H33-128 BFV lattice security
All tests passing
🔗
Agent-74: Handoff Attestation
Every agent-to-agent handoff is signed with three post-quantum signature families. Tampered outputs are rejected before they propagate.
74 bytes per attestation
1.7ms per hop
All tests passing
The Numbers
Cryptographic proof at production speed.
21PQ signatures per pipeline
518 BPersistent bytes (7 × 74)
40.6:1Compression ratio
~80msFull pipeline time
$0.175Cost per 3-agent pipeline
Stop trusting your agents. Start proving them.
Cryptographic certainty for every AI decision in your enterprise.
Nobody sees your data. Nobody can fake the result. Nobody can tamper with the chain.