Deploying high-assurance governance systems at enterprise scale with <1ms overhead.
We collaborate with companies in finance, healthcare, and critical infrastructure to pilot Anchor and Canon. We verify performance overhead, telemetry isolation, and policy enforcement under production workloads.
- Track
- Enterprise Pilots
- Targets
- 3
- Access
- By inquiry
Enterprise adoption requires zero friction. The anchor-audit PyPI package integrates directly into Python and Rust environments using single-line decorators (@anchor.guard), enforcing zero-copy PyO3 stream interception before actions hit production networks.
AnimusLab shipped anchor-audit v6.0.1 to PyPI, complete with live FastAPI gate routers, WebSocket telemetry streaming, Prisma persistence, and multi-tenant control portals.
# Enterprise Production Guard
from anchor import AnchorGuard
@AnchorGuard.guard(policy="POL-FIN-001")
def execute_wire_transfer(amount: float, recipient: str):
# Intercepted before execution in <0.8ms
return bank_api.transfer(amount, recipient)What the track produces.
- 01
Financial Guardrails: Implementing transaction verification gates, credit checks, and limit validations.
- 02
Secure Sandboxing: Containing autonomous agents inside isolated WASM execution rings.
- 03
Localized Telemetry: Restricting database writes to edge hubs, preserving data privacy.
- 04
Sub-Millisecond Interception: Guaranteeing <0.8ms overhead for production LLM tool calls.
Open workstreams.
Production Runtime Guarding
Wrapping existing LangChain, LlamaIndex, or AutoGen tool calls with @anchor.guard decorators.
Private Node Whitelisting
Registering enterprise keypairs on admin.animuslab.dev for secure, encrypted telemetry streams.
Zero-Knowledge Forensic Replay
Enabling internal legal and compliance teams to replay agent failures without leaking corporate IP.
How to start.
- 01
Install the kernel: pip install anchor-audit.
- 02
Initialize your codebase policy: anchor init.
- 03
Run static AST validation: anchor check .
- 04
Request an enterprise pilot sandbox environment at tan@animuslab.dev.