Sponsor
Mark R. Warner
Senator · D-VA
Senator · D-VA
Official title: Improve the tracking and processing of security and safety incidents and risks associated with artificial intelligence, and for other purposes.
Introduced July 21, 2026 by Mark R. Warner · Last progress July 21, 2026
The bill strengthens national security, infrastructure resilience, and coordinated AI‑safety oversight while imposing substantial compliance, disclosure, and transparency tradeoffs that could raise costs, expose proprietary information, and advantage larger firms over smaller innovators.
AI developers and providers (including small businesses and researchers) get clearer, standardized definitions, registries, and pre-release best-practice expectations that reduce legal and regulatory uncertainty and make product deployment more predictable.
U.S. national security and public safety are strengthened because agencies and the Board will develop technical evaluations, vulnerability‑handling processes, and intelligence-sharing to detect, prioritize, and mitigate high‑risk 'frontier' models and foreign threats to model supply chains.
Critical‑infrastructure operators (finance, health, energy) and their vendors will benefit from updated vulnerability enumeration (NVD/CVE), AI‑specific prioritization, and secure‑software guidance that improve identification and mitigation of AI‑related vulnerabilities.
Small developers, startups, and many AI providers will face substantial new compliance costs, administrative burdens, and risk of steep fines (including daily penalties), which could raise prices, slow deployments, or push innovators out of the market.
Requirements to provide model weights, runtimes, security clearances, or detailed incident information risk exposing proprietary trade secrets and intellectual property, deterring cooperation and innovation by private firms.
Transparency and civil‑liberties are constrained by expanded classified access, closed sessions, FOIA exemptions, and exemptions for incident submissions—limiting independent oversight, public scrutiny, and legal recourse for affected third parties and researchers.
Based on analysis of 7 sections of legislative text.
Establishes federal AI risk and security bodies, voluntary incident reporting and a public incident database, and updates vulnerability and disclosure processes for AI within set near-term deadlines.
Creates a federal program to identify, report, and manage security and safety risks posed by advanced AI systems. It mandates a new NIST-hosted AI Risk Board, voluntary incident reporting and a public incident database, updates to federal vulnerability processes (NVD/CVE/VEP), and a new NSA-centered AI security center focused on supply chain and foreign-adversary threats. Sets timelines for establishing bodies and publishing guidance (30–365 days), requires multiagency coordination (NIST, CISA, NSA, DNI, FBI), directs technical updates to vulnerability enumeration and secure development guidance, and requires near-term reports to Congress on gaps and needed reforms. The law is largely programmatic and regulatory rather than an appropriation or tax change, and it emphasizes national security and incident resilience for critical infrastructure and widely used AI systems.