AISI (AI Safety Institute)

National AISIs sit between regulators and AI providers, performing structured evaluations of frontier model risks and reporting findings publicly. Their work has become a key authoritative source on agentic and dual-use AI risk.

AISI activities typically include:

• Capability evaluations: Structured tests of model reasoning, autonomy, and safety.
• Misuse research: Studies of how frontier models could enable harm.
• Public reports: Findings and recommendations on model risk and mitigation.
• International coordination: Joint work across UK, US, and partner institutes.
• Policy input: Advisory guidance to regulators and standards bodies.

Because AISIs publish their methodology alongside findings, their work is reusable by enterprise security teams designing evaluations of their own. Adopting AISI-style evaluation patterns internally is becoming a recognized maturity signal.

Mature programs also use AISI publications as red team inputs and as benchmarks for internal evaluations, turning external research into operational defense improvements.

Programs that mature fastest also track AISI capability evaluations as part of their procurement and model approval process, building external research directly into internal decisions.

How PointGuard AI Helps

PointGuard's AI Governance solution incorporates AISI findings and recommended controls into enterprise governance evidence, and AI Red Teaming applies AISI-style evaluations to deployed models. Together they turn AISI-style external evaluations into actionable internal controls and remediation tracking.

Learn More

• UK AI Security Institute
• US AI Safety Institute (NIST)
• NIST AI 600-1 Generative AI Profile