| Version | Release Manager | Authors | Controls | Threats | Capabilities |
|---|---|---|---|---|---|
| DEV | DB Development Build | DT Development Team | 8 | 10 | 25 |
AI/ML
Generative AI Platform
Generative AI Platform consist of set of tools provided by the cloud service providers that use large language models (LLMs) and deep learning frameworks to understand, generate, and manipulate natural language, images, code, or audio to create new content, and insights base on patterns and data.
Cloud Provider Equivalents
Mapping References
Agent Threat Rulesv3.1.0
Agent Threat Rules (ATR) is an open MIT-licensed detection-rule corpus for AI agent threats spanning ten attack categories (prompt-injection, tool-poisoning, skill-compromise, agent-manipulation, context-exfiltration, data-poisoning, excessive-autonomy, model-abuse, model-security, privilege-escalation). Rules are deterministic YAML and ship as the upstream detection layer in Cisco AI Defense skill-scanner (314 rules) and Microsoft Agent Governance Toolkit (287 rules + weekly auto-sync), and are referenced by the MISP taxonomy and galaxy threat-intel sharing layers (misp-taxonomies#323, misp-galaxy#1207, both merged by the MISP project lead on 2026-05-10). The mapping from CCC GenAI controls is one-way and lossy: ATR rule-IDs reference detection coverage that is adjacent to a control's intent, not control equivalents themselves.
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This catalog is maintained as versioned YAML files. Generated artifacts are published here as each release is cut.
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