03/11/2026 | Press release | Archived content
March 11, 2026
March 11, 2026 | Eisenhower Executive Office Building
Artificial intelligence presents a critical opportunity for cybersecurity teams across the Federal Government to transform cyber defense by enabling faster detection, predictive insight, and targeted response at machine speed. As adversaries increasingly use automation and artificial intelligence (AI) to scale cyberattacks that outpace traditional defenses, agencies must accelerate readiness and enhance capabilities to shift the advantage back to cyber defense.
As directed by the President's Management Agenda, Federal agencies are accelerating the use of technology to deliver faster, more secure services to the American people. To advance President Trump's Cyber Strategy for America, the White House Office of Management and Budget (OMB) is working with Federal agencies to adopt AI-powered cybersecurity solutions to defend Federal networks and deter intrusions at scale.
Senior government officials from the Office of the Federal Information Officer, National Security Council, Department of Homeland Security, Department of Justice, Department of State, and Office of the National Cyber Director leading the discussion during the Convening on Artificial Intelligence for Cyber Defense Optimization on Wednesday, March 11, 2026, at the Indian Treaty Room. Official White House Photo by Nick Moore.On March 11, 2026, OMB's Office of the Federal Chief Information Officer, in coordination with the Federal Chief Information Security Officers Council, convened Federal cybersecurity leaders and private-sector technology companies to discuss how agencies across the Federal Government can deploy advanced AI capabilities to strengthen cyber defense.
The event provided an opportunity to share how Federal agencies are approaching AI-powered cyber defense use cases, to learn how industry is deploying cutting-edge cyber-centric AI capabilities, and to share insights on operationalizing and scaling leading practices designed to improve event monitoring, detection and response, threat hunting, and cyber forensics. A better understanding of the current state of the art for cyber defense capabilities will help agencies make significant near-term progress in protecting their systems and data.
Personnel from a handful of agencies gave examples of cybersecurity-focused AI use cases in their organizations. While many agencies rely on commercial capabilities that natively integrate AI technologies, some are using AI to optimize custom-built capabilities developed over the long term to address unique mission needs.
Government and industry participants during the Convening on Artificial Intelligence for Cyber Defense Optimization on Wednesday, March 11, 2026, at the Indian Treaty Room. Official White House Photo by Nick Moore.Throughout the group discussion, both Government and industry participants underscored the importance of public-private collaboration in advancing effective cyber defense. Participants discussed the importance of improving enterprise visibility across federated networks, breaking down data silos, prioritizing alerts, and enabling more proactive cyber defense strategies that identify risks earlier in the attack lifecycle.
Key takeaways from the discussion include:
Following these discussions, private-sector participants showcased leading edge cybersecurity capabilities related to continuous event monitoring, threat hunting and incident response, and digital forensics and investigations. They shared operational insights, identified practical use cases, and demonstrated emerging technologies, highlighting opportunities for accelerating the responsible adoption of AI-enabled cybersecurity capabilities.
The Convening on AI for Cyber Defense Optimization underscored that while AI holds significant promise for transforming cyber defense, its ultimate impact on Federal cybersecurity depends on agencies' ability to address foundational gaps, modernize data access, and build procurement and governance frameworks compatible with emerging technologies. Agencies are already demonstrating meaningful progress, but scaling these efforts will require coordinated action across architecture, acquisition, and risk management