AI paper index
RSV Standard v1.2 — AI-Specific Vulnerability Taxonomy
One-line summary
An AI research paper on RSV Standard v1.2 — AI-Specific Vulnerability Taxonomy.
Engineering notes
Engineering notes will be added by the aipentium editorial team.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。
Original abstract
The RSV (Red Specter Vulnerability) Standard v1.2 is the first comprehensive vulnerability taxonomy specifically designed for agentic AI systems, multi-agent pipelines, and AI intelligence platforms. It defines 22 AI-specific vulnerability categories (AIF-001 through AIF-022) covering attack classes with no direct equivalent in CWE, CVE, or MITRE ATLAS. v1.2 includes a full AI-specific scoring framework (Persistence, Detection Difficulty, Blast Radius, Dependency), CWE and MITRE ATLAS mappings per category, dependency tracking between categories, mitigation guidance with real-world evidence, MCP sub-taxonomy (AIF-020 through AIF-022), and a formal responsible disclosure process. 14 of 22 categories have no CWE equivalent. 15 of 22 have no MITRE ATLAS equivalent. All categories are empirically derived from Red Specter NIGHTFALL engagements and peer-reviewed by DeepSeek and ChatGPT, both confirming the taxonomy as novel and world-first. Applied to World Intelligence MCP (RSV-2026-013 through RSV-2026-017). Companion to ATT&CKcon submission ID 96. MITRE ATLAS submission planned.
Links and sources
Need this topic turned into a technical roadmap?
aipentium can prepare a custom AI literature review, code map, dataset map, and B2B technology assessment.
Request B2B AI research
Comments