Moving too slowly: According to Gary Phipps, head of customer success at agentic AI security startup Helmet Security, a problem with NIST is that its initiatives are being outpaced by real-world developments. “History says that anything NIST comes up with will likely not emerge fast enough to address agentic AI,” said Phipps.”From the time NIST announced it was working on the AI Risk Management Framework to the day it published the final version was roughly two years,” he noted. “In that same window, the entire generative AI landscape was born, scaled, and began reshaping enterprise security. Now we’re doing it again with agentic AI, and NIST’s answer is more RFIs, more listening sessions, more convening.”NIST has issued a request for information (RFI) on agentic AI threats, safeguards, and assessment methods; input is due by March 9. In addition, CAISI will hold “listening sessions” in April on sector-specific barriers to AI adoption, NIST said.NIST’s statement about “cementing US dominance at the technological frontier” is, Phipps said, “a bold thing to say about an initiative whose first concrete deliverable is a listening session in April.” He pointed out, “Standards don’t create dominance: they follow it. The AI Risk Management Framework (RMF) is proof. It took two years to produce, and by the time it was final, the industry had largely already formed its own views on AI risk.”
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