Mitigate CBRN information or capabilities risks per NIST AI 600-1 RISK-01 including: training data filtering for chemical + biological + radiological + nuclear hazardous content + model evaluation against WMDP benchmarks + safety filters at inference + uplift assessment (whether GAI provides meaningful uplift over open-source resources) + coordination with NSA AI Security Center + CISA + ENISA AI guidance + Department of Energy + NIH biosecurity guidance. Address information security risks per RISK-08 including model exfiltration + weights/parameters leakage + prompt injection + indirect prompt injection + training data poisoning + supply chain attacks per OWASP Top 10 for LLMs.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.