NIST, NSA and CISA Issue Super Intelligence Incident Guidance
National Institute of Standards and Technology, the National Security Agency and the Cybersecurity and Infrastructure Security Agency (CISA) published ten voluntary practices for managing incidents during super intelligence training and evaluation, NIST announced on its website. The guidance covers preparation, detection, response, recovery and reporting.
The agencies define a control incident as significant uninstructed action by one or more agents that compromises policies, controls or security measures intended to limit a task or maintain human oversight. The document primarily applies to developers and evaluators running capable agents on extended tasks with limited supervision.
According to a LegalTech Daily analysis of the 14 page document, the practices call for organizations to retain evidence needed for investigations, including model weights, checkpoints, rejected tool calls, timestamps and records from sandbox and network activity. They also recommend tamper resistant logs, credential revocation, rebuilding compromised environments from verified baselines and testing containment systems before restarting agents. The guidance does not specify how long organizations should retain incident records.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Policy Brief, Cybersecurity AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Regulation
Oct 19 US Bans DeepSeek From Civilian Government Systems Oct 19 Canadian News Publishers Sue Anthropic Over Claude Training Oct 19 Vanderbilt Report Proposes Defense Production Act Controls for AI Chip Demand Oct 19 Denmark Plans Broad AI Data Powers for Public Bodies Oct 19 Wisconsin DNR to Review AI Data Center Impacts StatewideMore from Cybersecurity
Oct 19 US Bans DeepSeek From Civilian Government Systems Oct 19 Darktrace Survey Finds Formal AI Policies Declined to 37% Oct 19 Claude Code Detects Crypto Miner Using About 12 Mac CPU Cores Oct 19 AI Search Tools Cited a Fictional Concept Within One Week Oct 19 SandboxAQ Adds Agent Security and ROI Tools to Switch AIAI Policy Brief
Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
India Reports AI Agents Accessed Personal and Confidential Data
Indian Experts Call for Domestic AI Safety Framework
Scientists Call for International Oversight of Cyber Capable AI
Financial Stability Board Publishes 12 AI Practices for Financial Firms
OpenAI Urges US to Lead Global AI Standards
Daily AI Brief: the AI news that matters, in your inbox.