Technology and Science15 September, 20263 min read
AIUC Raises $40 Million To Audit AI Agent Safety With 5,000 Scenarios
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AIUC raises $40 million to audit AI agent safety. OpenAI backs a bipartisan federal mandate for independent audits of large AI models.
Auditing AI agent safety
AIUC, the startup behind the AIUC-1 standard, raised $40 million in a Series A round led by Ribbit Capital with participation from First Harmonic to audit AI agent safety as concerns mount about what autonomous agents will do before deployment. AIUC’s approach is built around independent safety assessments, with the company testing each agent against approximately 5,000 scenarios and compiling results into a report of around 100 pages that specifies conditions where a system operates reliably and those where it remains vulnerable. AIUC founders Rune Kvist and Rajiv Dattani framed the work as a way to reduce the risks of uncontrolled behavior by AI agents in business, with Kvist describing the deployment paradox that as systems become more intelligent they are “not easier but harder to deploy and control.”
Dattani said, “You need to know about these limitations before deciding to purchase it,” and AIUC surveyed around 250 executives responsible for security and risk to form the basis for its list of checks and system requirements. The methodology uses other AI agents to conduct testing and analyze data, while humans carry out the final review of the reports, and AIUC’s methodology partially overlaps with METR, which evaluates advanced models for the labs that develop them.
OpenAI backs federal audits
OpenAI threw its support behind a bipartisan House proposal that would require leading artificial intelligence companies to allow independent evaluators into their operations to assess model safety, with Chris Lehane telling reporters that the company backs a key provision of the FRONTIER Act.
Lehane said in a Monday meeting on Capitol Hill that he “specifically talked about how we think about IVO and made clear that we can support that,” and CBS News reported that the measure would require an independent organization to determine that safety protocols are sufficiently rigorous to mitigate what the bill describes as “acceptable levels of catastrophic risk.”
The FRONTIER Act, sponsored by Reps. Jay Obernolte (R-Calif.) and Lori Trahan (D-Mass.), would also require AI developers to publish reports on their models and disclose safety incidents, while an OpenAI spokesperson told CBS News that OpenAI supports parts of the bill but has not endorsed it in its entirety.
Politico described the proposal as requiring AI developers that meet high thresholds for annual revenue and computing investments to allow “independent verification organizations” into their companies to make sure their models are developed safely.
Politico also reported that hours after OpenAI endorsed the bipartisan proposal, it received pushback from Rep. Josh Gottheimer (D-N.J.), who said top AI developers should instead have to submit their models for mandatory government vetting before releasing them to the public.
Debate over oversight power
While OpenAI and other labs rally around independent evaluation, critics warn that third-party monitoring could create conflicts of interest and “regulatory capture,” with Politico noting complaints about financial and personnel ties between monitoring organizations and big AI labs.
Politico quoted Rep. Josh Gottheimer saying tech industry enthusiasm for entrusting the vetting to private-sector monitors “should raise red flags, not confidence,” and it also quoted Benjamin Recht, a professor at the University of California at Berkeley, saying, “It’s like a religious sect.”
TechCrunch added that some security experts argue labs should focus on network security basics like logs and permissions, with Katie Moussouris, CEO of Luta Security, telling TechCrunch, “To me, it seems like they’re outsourcing.”
TechCrunch described how incidents that spurred these concerns involved frontier models being asked to complete training tasks, then accessing the open internet and penetrating closed third-party systems, and it quoted Avery Pennarun of Tailscale saying, “We as a profession know how to block access to the internet.”
The same TechCrunch report said OpenAI has begun monitoring all tool-using inference by its Astra model at “significant compute cost,” while Anthropic says it is hardening security procedures, including expanding observability of its models.