CAISI Issues Request for Information About Securing AI Agent Systems
NIST's agentic AI security work shapes international voluntary standards that Australian agencies and AISI frequently reference when developing domestic guidance.
Key points
- NIST's CAISI is seeking public input on securing AI agent systems, with a comment period closing 9 March 2026.
- The RFI targets risks unique to agentic AI: prompt injection, data poisoning, specification gaming, and misaligned autonomous action.
- Responses will inform future voluntary guidelines - a likely reference point for Australian AI governance frameworks.
Summary
NIST's Center for AI Standards and Innovation (CAISI) has issued a Request for Information seeking input from industry, academia, and security researchers on how to secure AI agent systems - autonomous systems capable of taking real-world actions. The RFI focuses specifically on risks distinct to agentic AI, including indirect prompt injection, data poisoning, specification gaming, and misaligned objective pursuit. Responses will inform future voluntary guidelines and best practices. Given that Australian AI governance frameworks regularly draw on NIST publications, this consultation is worth monitoring, particularly for agencies beginning to govern or deploy agentic AI tools.
Implications for Australian agencies
- Monitor Agencies tracking agentic AI adoption may want to monitor the outputs of this RFI process, as resulting NIST guidelines are likely to inform Australian voluntary standards and AISI guidance.
- Consider AI governance and security teams could consider whether the risk categories identified - prompt injection, data poisoning, specification gaming - are reflected in existing agency AI risk registers or procurement requirements for agentic tools.
Implications are AI-generated. Starting points, not advice.
"CAISI Issues Request for Information About Securing AI Agent Systems" Source: NIST – AI News (topic 2753736) Published: 12 January 2026 URL: https://www.nist.gov/news-events/news/2026/01/caisi-issues-request-information-about-securing-ai-agent-systems NIST's Center for AI Standards and Innovation (CAISI) has issued a Request for Information seeking input from industry, academia, and security researchers on how to secure AI agent systems - autonomous systems capable of taking real-world actions. The RFI focuses specifically on risks distinct to agentic AI, including indirect prompt injection, data poisoning, specification gaming, and misaligned objective pursuit. Responses will inform future voluntary guidelines and best practices. Given that Australian AI governance frameworks regularly draw on NIST publications, this consultation is worth monitoring, particularly for agencies beginning to govern or deploy agentic AI tools. Implications for Australian agencies: - [Monitor] Agencies tracking agentic AI adoption may want to monitor the outputs of this RFI process, as resulting NIST guidelines are likely to inform Australian voluntary standards and AISI guidance. - [Consider] AI governance and security teams could consider whether the risk categories identified - prompt injection, data poisoning, specification gaming - are reflected in existing agency AI risk registers or procurement requirements for agentic tools. Retrieved from SIMS, 18 May 2026.