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Federal agencies are moving artificial intelligence beyond experiments and into operational cyber defense, according to Michael Duffy, the acting federal chief information security officer. The work includes using AI to find vulnerabilities at scale, reviewing cyber-focused AI applications, streamlining security tools and strengthening readiness for AI-related incidents.
What federal agencies are doing with AI for cybersecurity
Speaking at FedTalks in Washington, D.C., Duffy described agencies as increasingly bringing AI into production across government missions. His account points to several strands of work, rather than one government-wide AI defense system.
Finding vulnerabilities at scale
One objective is “leveraging AI to identify vulnerabilities at scale.” Applied to vulnerability management, that means using AI capabilities to help surface weaknesses across large environments; Duffy did not specify particular tools, agencies, or measured results.
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Duffy said officials will assess agencies’ existing cyber defense capabilities and explore “cyber-centric AI use cases.” The emphasis is on evaluating where AI can contribute to cyber defense, not on a named application or a stated deployment schedule.
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Rationalizing security tools and using shared services
Agencies are working with their CISOs to review cybersecurity tool stacks, identify redundant or ineffective systems, and consider enterprise-wide capabilities and shared services. The stated aim is to improve agencies’ posture for an evolving threat environment while gaining efficiencies and scale. The remarks do not identify which tools will be consolidated or establish that agencies have completed such changes.
Building resilience and incident-response capacity
Duffy also said agencies are working to increase operational resilience and their collective capacity to respond to AI incidents. That describes a preparedness goal; his remarks did not provide an incident-response framework, timetable, or readiness metric.
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Is federal AI cyber defense already in production?
Yes, according to Duffy: he said the government is not only putting AI into production but finding ways to accelerate emerging technology across missions. That is a broad statement about federal adoption, not evidence that every agency has deployed AI for cyber defense or that every use case listed is already operational. The report does not name specific deployments or quantify their maturity.
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What safeguards are part of the approach?
Duffy said adoption should protect sensitive information, support secure public interactions, and include safeguards to ensure AI is used properly. These are the principles he identified; the report does not detail specific technical controls, approval processes, or agency-level implementation requirements.
The policy context includes reconsideration of OMB Circular A-130, the federal policy on managing information resources. CyberScoop reported that the circular was last updated in 2016 and that executive-order direction calls for an update within three years. The report does not identify a completed revision or give a new publication date.
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What the announcement does—and does not—establish
- Established: The acting federal CISO said agencies are moving AI into production and described priorities spanning vulnerability discovery, cyber-focused use cases, tool rationalization, shared services, resilience, and AI-incident response.
- Not established: Which agencies or products are involved, how many deployments are operational, what performance gains have been measured, or what detailed safeguards apply to each implementation.
The remarks were reported by CyberScoop senior reporter Tim Starks on September 18, 2025, from Duffy’s appearance at FedTalks in Washington, D.C. Read the CyberScoop report.
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