Complete AI governance and LLM Evals platform with support for EU AI Act, ISO 42001, ISO 27001 and NIST AI RMF. Join our Discord channel: https://discord.com/invite/d3k3E4uEpR
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Updated
Jan 17, 2026 - TypeScript
Complete AI governance and LLM Evals platform with support for EU AI Act, ISO 42001, ISO 27001 and NIST AI RMF. Join our Discord channel: https://discord.com/invite/d3k3E4uEpR
Build Secure and Compliant AI agents and MCP Servers. YC W23
Open-source toolkit for responsible AI: CLI + SDK to scan code, collect evidence, and generate model cards, risk files, evals, and RAG indexes.
Monitor, detect, and analyze security threats and Shadow AI in your LLM applications with comprehensive analytics and real-time alerting.
Governance, Risk & Compliance documentation aligned to FedRAMP Moderate, NIST SP 800-53 Rev. 5, DoD RMF, and NIST AI RMF. Includes policies, risk register, vendor assessment, continuous monitoring, vulnerability management, and AI governance materials.
A beginner-friendly AI Governance & Risk Toolkit — risk register, governance templates, and audit-ready workflows for early-stage AI teams.
Hardened Public Release of KAIROS invocation governance framework. Includes invocation terms, ethical compliance clauses, regulatory mapping, and sample outputs. Licensed under CC BY-NC-ND 4.0. License: Do not auto-generate via GitHub. Use hardened License.txt
🔗 Signet Protocol - Trust Fabric for AI-to-AI Communications. Middleware for secure, auditable, and verifiable AI interactions through Verified Exchanges (VEx), Signed Receipts, and HEL egress control.
LeadAITrustFramework
Four Tests Standard (4TS) - Vendor-neutral specification for verifiable AI governance
Replication package of "Simplifying Software Compliance: AI Technologies in Drafting Technical Documentation for the AI Act".
AI Interactive — The interaction layer where intent flows freely between humans and AI. An open exploration of human-AI interaction patterns.
Formales Protokoll zur epistemischen Output-Governance von KI-Systemen.
My journey from law to code: Projects in Privacy-Preserving ML, LegalTech automation, and regulatory compliance systems.
Deterministic pre-inference governance gate with cryptographically signed, offline-verifiable audit proof (PASS/FAIL archives + ITGL hash chain). MIT.
Ethical AI Validator detects bias and assesses fairness in AI models with statistical parity analysis, real-time monitoring, and automated GDPR/AI Act compliance reporting. Python 2.7+ compatible.
ai-praxis-tool
This project delivers a prototype for AI-driven compliance and secure data sharing in cross-border media collaboration. It integrates Hyperledger Fabric for permissioned blockchain and Apache Kafka for scalable event streaming.
nod is a platform-agnostic, rule-based linter that ensures AI/LLM specifications contain critical security and compliance elements before any agentic or automated development begins.
Rule-based chatbot prototype exploring conversational AI through compliance-inspired prompts and ethical design logic.
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