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.

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)

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

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.

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.

The open source runtime enforcement for AI agents.

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

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

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

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

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.

Runtime governance infrastructure for autonomous AI agents. VGS-001 to VGS-011. DOI: 10.5281/zenodo.20264923