Secberus Compliance Mapping AI (CMAI) is a deterministic AI API that maps security-related text to compliance controls. Unlike LLM-based approaches, it uses a non-probabilistic, rule-based engine that produces consistent, repeatable results for the same input — with no reliance on large language models, no customer data used for training, and no platform deployment required. The API accepts a range of security text inputs — including OCSF findings, policies, evidence, questionnaires, and internal or proprietary requirements — and returns structured JSON control mappings in milliseconds. CMAI is available as a standalone API product or as part of the Secberus Governance Platform. It requires no mandatory integrations or engineering effort to use. Target use cases include: - GRC and compliance teams needing consistent, auditable control tagging across frameworks - Development and platform teams embedding compliance mapping into CI/CD or security pipelines - MSSPs and consulting firms standardizing mappings across client engagements - Tech law firms mapping client policies and audit findings to frameworks such as NIST AI RMF and GDPR - M&A teams assessing control coverage and regulatory gaps during due diligence - Product teams adding compliance intelligence to their own products via API Key differentiators noted include deterministic (same input → same output) behavior, no hallucinations, no training on customer data, and auditable/predictable results — in contrast to LLM-based or neural semantic search approaches.