HAIEC: DIY AI Compliance You Can Prove
Audit-grade AI governance with deterministic evidence
HAIEC: DIY AI Compliance You Can Prove launched on February 10, 2026 with 3 votes, #3,486 of 16,627 launches that month and more than 50% of that year's launches.
What it does
HAIEC helps teams prove AI compliance before audits, sales reviews, or regulators ask. Unlike checklist tools or black-box scoring, HAIEC generates deterministic, reproducible evidence mapped to real regulations like SOC 2, ISO 27001, NYC LL144, and emerging AI laws. It unifies static analysis, runtime testing, and governance signals into one compliance system—so teams ship AI with defensible, regulator-ready proof.
Map what AI agents can reach, what authority exists, what code can trigger, and what evidence supports the decision. Enterprise AI assurance and repo-first validation from HAIEC.
The model can make a bad decision. The enterprise question is what the system lets that decision become. HAIEC maps what AI agents and systems can reach, what authority is in play, what code can trigger, and what evidence supports the answer. Applicable to AI applications, AI systems, AI agents, model/API integrations, automated AI workflows, and consequential agentic systems. Security controls answer whether an identity is permitted to do something. They do not necessarily establish whether the AI was delegated the consequential choice it made. A valid permission and a valid delegation are not the same evidence. An identity policy that allows an action. Establishes what is permitted, not…from haiec.com
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