A cloud native Identity Aware Proxy and Access Control Decision service
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Updated
Jul 27, 2026 - Go
A cloud native Identity Aware Proxy and Access Control Decision service
Python and TypeScript SDKs for verifiable evidence of AI agent actions. Signed receipts, policy enforcement, audit trails. Works with LangChain, CrewAI, MCP.
Data policy IN, dynamic view OUT: PACE is the Policy As Code Engine. It helps you to programatically create and apply a data policy to a processing platform like Databricks, Snowflake or BigQuery (or plain 'ol Postgres, even!) with definitions imported from Collibra, Datahub, ODD and the like.
Deterministic governance for AI coding agents. Cedar-based policy engine that intercepts every agent action and evaluates it against deterministic rules before execution.
The open standard for runtime agent control — declarative hooks, policy enforcement, and observability across AI agent frameworks.
Agent Identity Protocol - Zero-trust security layer for AI agents. Policy enforcement proxy for MCP with Human-in-the-Loop approval, DLP scanning, and audit logging.
VERITAS OS is an AI agent governance runtime for decision control, policy enforcement, approval workflows, audit trails, and replayable evidence before real-world actions.
Encrypted vault, ZK settlement archiving, x402 payment receipts, Agent Passport binding, and Solana anchoring for OpenClaw and agent runtimes. Drop-in stack — compression, privacy, payments, identity.
Deterministic Linux runtime enforcement with eBPF LSM: block file/network operations before syscalls complete.
The curated list of tools, standards, and resources for governing AI agents in production: policy enforcement, audit trails, EU AI Act compliance, MCP and Claude Code security.
Authorization infrastructure for AI agents - policy enforcement, signed WASM bundles, per-request user scope, and audit trail for OpenAI Agents, LangChain, Google ADK, and Pydantic AI.
A CLI tool for managing GitHub Actions workflows
MIDAS is an open platform for governing execution authority at decision surfaces across agents, AI systems, and enterprise workflows.
Deterministic execution authorization for AI agents and automation systems
System-level security for LLM agents: fine-grained policy enforcement on tool calls to defend against indirect prompt injection
African AI governance — runtime compliance enforcement for AI agents operating under NDPA, CBN, NIMC Act 2026, KDPA, POPIA and 15+ African regulations. LangGraph, CrewAI, and AutoGen adapters included.
Headless, OpenAI-compatible AI gateway in Go. Multi-tenant auth, tracing, cost tracking, rate limits, and optional PII redaction. Single binary, self-hosted, audit-ready by design.
Policy-as-code for MCP agents: deny risky tool calls before they run, prove what ran with verifiable evidence, and enforce egress in the kernel (eBPF/LSM, Linux). Deterministic, offline-first, bounded claims.
Governed AI pipelines for service businesses. Deterministic-first, single Go binary, operator-approved.
Stop Claude Code from doing irreversible damage. Policy-gated execution + receipts so you can ship agents without sweating production.
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