Infrastructure-Grade Control

Absolute
Determinism.

Add cryptographic audit trails and runtime controls to your AI agents in 3 lines of code. Prove compliance. Eliminate catastrophic edge cases.

Start 14-Day Audit$ pip install auragov
agent_runtime.py
import auragov # 1. Initialize the stateless JWT engine client = auragov.init(api_key="sk_live_...") # 2. Intercept risky execution inline @client.shield(tier="strict", shadow_mode=True) def execute_workflow(payload: dict): return system.commit(payload) # 3. Cryptographic evidence generated locally. $ auragov view-receipts
The Execution Gap
WITHOUT AURAGOV

The $50,000 Oops.

An AI agent misunderstands a client request, triggering an unchecked loop that deletes 500 production records. No audit trail exists to explain the failure to regulators. The liability is absolute.

WITH AURAGOV

The 20μs Shield.

AuraGov detects the anomalous trajectory in O(1) time. It intercepts the API call, securely logs an unforgeable Proof of Governance receipt, and halts the agent before execution.

Mathematical
Certainty.

[01] 20μs Determinism

Built entirely on linear-time regex (RE2) and bounded instruction fuel. AuraGov mathematically guarantees your agent workflows will never suffer from catastrophic backtracking or latency degradation.

[02] Cryptographic Receipts

Every operational decision—pass or fail—is canonicalized, hashed, and signed via Ed25519. Deliver undeniable, actuarial-grade proof of governance to your compliance officers and external auditors.

[03] Zero-Egress Architecture

Run the auragov view-receipts CLI to inspect governance trails locally. Your proprietary agent payloads and sensitive customer data never leave your host machines. No cloud dashboards. No data leakage.

[04] Shadow Mode Pilot

De-risk deployment instantly. Engage Shadow Mode to monitor, meter, and log adversarial agent trajectories asynchronously, generating a complete threat report without blocking live production requests.

Secure the autonomy.

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