Governance-as-Code for AI agents. Declarative constraints with deterministic enforcement. Provisioning Identity, Tool-based rules, Brokering Credentials & Ensuring safe deployment

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.

Structural security, governance and execution for AI agents: validate actions before they touch files, credentials, network, APIs, or money.

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

The open source runtime enforcement for AI agents.

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

Execution boundary for autonomous systems. Deterministic runtime enforcement of executable constraints before state-changing actions occur.

Open protocol for deciding when AI-generated scientific outputs are admissible to shape what science does next

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.

Stop AI agents before they do damage — behavioral sequence detection blocks credential exfiltration, config harvesting, and secret leakage before the network call fires

Execution boundary for autonomous systems. Deterministic runtime enforcement of executable constraints before state-changing actions occur.

🔴 The immune system of the Matrix — autonomous governance, threat detection & runtime enforcement for multi-agent AI systems. Who watches the watchers?

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

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

A certifying, model-free, minimal-intervention runtime shield for LLM agents: it repairs an unsafe tool-call trajectory with the least-cost enactable edit instead of blocking, and certifies every intervention for re-verification without the model.

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.