These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
Meilynx
Meilynx is a software tool for governing large language models (LLMs) and AI agents used in regulated sectors such as financial services, insurance, healthcare, and human resources.
It runs as a proxy between an organisation's applications and model providers (e.g. OpenAI, Anthropic, Google Gemini, Azure OpenAI), so policies can be applied without changing application code. Rules are checked before requests reach the provider and after responses return.
They cover detection and redaction of personal, health, and material non-public information, restrictions on which models may be used, cost and usage limits, and output validation, and organisations can add custom rules through WebAssembly modules or webhooks. For AI agents, the tool inspects tool calls, including Model Context Protocol (MCP) calls, and can allow, block, or hold them for human approval. It also flags changes to approved tool definitions.
Each policy decision is recorded in a hash-chained audit log that auditors or supervisors can check independently for tampering. Records can be mapped to frameworks including SR 26-2 (formerly SR 11-7), NYDFS 23 NYCRR 500, FINRA 24-09, HIPAA, ISO/IEC 42001, the EU AI Act, DORA, and PRA SS1/23. This mapping covers only the AI-related parts of each framework, and the tool provides evidence for specific controls rather than certifying compliance. Prompt and response content stays within each customer's own infrastructure, and only hashed metadata goes to the central service. The developer reports a SOC 2 Type I attestation and publishes security information at trust.meilynx.com.
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