Trump’s AI task force targets cybersecurity, biosecurity and model control risks

President Donald Trump's Super Intelligence Force (SIF) held its inaugural meeting on October 15, 2026, launching a 120-day review that will prioritize cybersecurity, biosecurity and model control risks, with findings to be delivered through a report from the President's Council of Advisers on Science and Technology (PCAST). Chaired by Jay Clayton with vice chairs Andrew Ferguson, Emil Michael and Scott Kupor, the task force reports directly to Trump and White House Chief of Staff Susie Wiles, and follows Executive Order 14409 issued in June 2026 and the September 29, 2026 White House Accord on Super Intelligence signed by executives from six leading AI firms. The SIF also plans standardized protocols for early warnings and notifications from AI labs covering breaches and misuse incidents, signaling an administration preference for voluntary commitments and coordinated protocols over binding legislation.

Trump’s AI task force targets cybersecurity, biosecurity and model control risks The Super Intelligence Force held its first meeting and started a 120-day review aimed at a unified White House position on AI safety President Donald Trump’s new AI task force has settled on its first priorities. The group agreed to focus on cybersecurity, biosecurity and the question of whether powerful AI models can actually be kept under control. The panel is officially called the Super Intelligence Force, or SIF. It held its inaugural meeting on October 15, 2026, which also started a 120-day review clock. Three risks, one report The work will run through a report from the President’s Council of Advisers on Science and Technology, known as PCAST. The council will evaluate critical technologies across three main risk categories. The first is cybersecurity and critical infrastructure protection . This covers AI being used to attack or disrupt the systems that keep the lights on. The second is biosecurity and dual-use applications . “Dual-use” describes technology that can serve legitimate research or cause serious harm, depending on who uses it. The third is model control and accountability . Put simply, this asks whether the people building these systems can reliably steer them, and who answers for it when they can’t. The SIF also plans to develop standardized protocols for early warnings and notifications from AI labs. These would focus on breaches and misuse incidents. AI, tech, and the markets they move—in one daily briefing. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. Who’s running the show Jay Clayton chairs the SIF. Andrew Ferguson, Emil Michael and Scott Kupor serve as vice chairs. The group reports directly to Trump and White House Chief of Staff Susie Wiles. How we got here In June 2026, the administration issued Executive Order 14409. That order focused on both AI innovation and security, and it arrived alongside documented cases of AI misuse. Then on September 29, 2026, executives from six leading AI firms signed the White House Accord on Super Intelligence. The accord established a set of voluntary safety controls. The SIF’s first meeting came just over two weeks after that signing. What this means For the AI industry, the clearest signal is the administration’s preference for structure without heavy legislation. The approach leans on voluntary commitments and coordinated protocols rather than binding rules passed by Congress. The risk sits in the gap between voluntary and enforceable. Six firms signing an accord is a meaningful start. However, voluntary controls only work as long as every signatory keeps choosing to honor them, including when it gets expensive or inconvenient. The 120-day window gives everyone a deadline. By the end of that review, the task force aims to deliver a cohesive federal stance on AI safety. Until then, the AI industry operates under an accord, an executive order and a task force that has only just held its first meeting. Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our Editorial Policy https://cryptobriefing.com/editorial-policy/ .