Secure compiler for AI-agent skills
Turn natural-language agent skills into structured, more deterministic Python programs, retaining generative model calls only where context or composition is needed. The compiled program can then be validated, hardened, and run with security safeguards.
online B2B Deep Tech / Infrastructure
From IBM Technology — AI skills security, Open AI Deployment Company & zero days at 01:50
Problem: Natural-language skills marketplaces are chaotic and can contain unsafe behavior, contradictions, prompt injection, instruction hacking, excessive tool permissions, and difficult-to-version prompts.
For: Organizations deploying AI agents and enterprises that need reusable skills to be safer, more reliable, verifiable, and easier to manage.
Examples
- MELLEA: an IBM Research project intended to bring order and security to the agent-skills ecosystem.
Behind this: 12 build steps · 4 tools and how each is used · how to validate demand · 1 more real example · 5 things the video never answers.
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