Governance-as-Code for AI agents. Open source policy layer with deterministic enforcement.

DCEE is a lightweight Python framework for validating data against contracts and enforcing SLA rules. Built on pandas and boto3, it provides simple, fast data validation without heavy dependencies.

Secure runtime for multi-agent AI. Kernel sandboxing (seccomp-bpf), real-time PII redaction, Merkle audit trails.

Lightweight runtime enforcement for agentic AI. PII masking, policy checks, and Merkle audit trails as a decorator.

👟 SUP: Sycophancy Under Pressure

Deterministic pre-execution gate for AI agents (fail-closed, YAML policy)

In this project, we design and develop a framework leveraging formal runtime enforcement approaches to enforce the lifecycle constraints of a document at runtime, preserving its integrity and privacy using cryptographic approaches alongside.

AIP security plugin for OpenClaw: skill signing, capability manifests, runtime enforcement

Enforce tool-usage contracts on agent tool calls — block before side effects.

Official Python SDK for MachineID - simple device registration and validation for AI agents.

External kill switch for autonomous runtimes. Validate at enforcement boundaries. Revoke to halt execution.

Compiler-Kernel Co-Designed execution integrity enforcement using Policy-Carrying Code (PCC) and eBPF-LSM.

Workload-scoped runtime enforcement for AI workloads. Deterministic governance at the workload boundary.