Inline runtime interception, Diamond Cage WASM capability sandboxing, and Decision Audit Chains.
Anchor Runtime intercepts AI agent execution in real-time. It validates prompt assertions, isolates untrusted tool capabilities inside Diamond Cage WebAssembly sandboxes, and writes HMAC-signed Decision Audit Chain (DAC) logs for regulatory compliance.
- Step
- 05 / 05
- Engine
- Canon
- Stage
- Enforce
The Enforce layer is the final line of defense. Utilizing the @anchor.guard decorator and PyO3 C-extension bindings, it intercepts model invocations before actions reach host operating systems, databases, or external network APIs.
Shipped anchor-audit v6.0.1 on PyPI, complete with Diamond Cage WASM sandbox, FastAPI gate endpoints, and oversight.animuslab.dev zero-knowledge mission replay.
# Runtime Decorator Integration Code
from anchor import AnchorGuard
@AnchorGuard.guard(policy="POL-SUPPORT-002")
def process_agent_response(prompt: str) -> str:
# Output assertions verified against active refund invariants
return llm.generate(prompt)
# Result: Violations automatically coerced to pre-approved legal fallback text.What this stage produces.
- 01
Diamond Cage Sandbox: Isolating untrusted third-party tool code in WebAssembly (WASM) execution rings.
- 02
Inline Stream Interception: Scanning inputs and blocking violations before execution hits production networks.
- 03
Edge Telemetry Isolation: Writing local cryptographically linked logs without exposing raw client data.
- 04
Zero-Knowledge Replay: Sanitizing internal file paths before regulatory inspection on oversight.animuslab.dev.
What cannot be negotiated.
Article VII Truth Over Optics: Audit logs provide un-tampered forensic transparency.
Fail-Closed Guarantee: Interceptor failure or timeout immediately blocks execution.
Cryptographic Non-Repudiation: Every execution verdict is signed with an Ed25519 keypair.