runtime-enforcement

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.

Runtime security and policy enforcement for tool-using autonomous 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.

Runtime guardrails for AI agent MCP tools. Blocks dangerous tool calls at runtime with a default-deny policy proxy.

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

Evidence-coded map of constrained decoding, structured generation, guarantees, systems costs, and evaluation for language models.

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.

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

Scoped authorization for AI-shaped scientific work

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