Federal News
Federal Agencies Advance AI-Enabled Zero Trust Cybersecurity
March 23, 2026
Federal agencies, including the Department of Defense and its Cyber Crime Center (DC3), are accelerating the adoption of AI-enabled zero trust cybersecurity frameworks to enhance threat detection, response speed, and mission assurance against increasingly sophisticated AI-driven cyberattacks. This shift emphasizes moving beyond compliance to proactive defense strategies incorporating AI, automation, and cyber deception technologies. Industry leaders and government officials highlight the critical need for transparent, explainable AI solutions and collaborative information sharing to protect the defense industrial base and federal networks.
- Federal procurement professionals should prioritize sourcing AI-integrated zero trust solutions that offer open APIs and explainability to meet agency demands for transparency and rapid threat mitigation.
- Defense contractors and cybersecurity vendors can leverage growing federal investments in AI-powered cyber defense tools, including hybrid cloud architectures and deception technologies, to address evolving adversary tactics.
- Agencies and industry partners must enhance collaboration through platforms like DC3's Defense Industrial Base Collaborative Information Sharing Environment (DCISE) to share vulnerability intelligence and strengthen collective cybersecurity posture.
- Organizations should evaluate vendor capabilities in continuous verification, identity-centric security, and AI-driven analytics to align with federal zero trust modernization efforts and regulatory expectations.
You canβt have a black box anymore, you canβt have an AI that says hey, we fixed it, Im not going to explain why thats the case. By design you need to find a vendor thats open API [and who can provide] explainability, the work that has to be there.
— Mike Nichols, General Manager for Security Solutions at Elastic
And what really hit home for me just the other day as I was looking at sort of a standard attack kill chain and seeing how much of that can be time-differenced through AI, you can really build a model as an attacker that all you need to do is sort of set basic context [such as directing the model to] go look at this organization, come back to me with, you know, vulnerabilities and what we can get out of them, prioritize them for me. OK, go exploit this. Come back to me when you have, you know, data that I can use and exploit further. And we need our defenders to be thinking along that mindset as well.
— Terry Kalka, Director, DCISE
Explore how DC3 uses data mesh, data fabric and advanced analytics to detect threats, make decisions and share intelligence across agencies and industry.
— Kajal Pal
Agencies
Department of Defense Cyber Crime Center, Department of Defense, Government Accountability Office, Marine Corps Community Services, United States Federal Agencies
Vendors
IBM Corporation, Akamai Technologies, Palo Alto Networks, Elastic, ExtraHop
Locations
Sources
- Federal Agencies Push AIβEnabled Zero Trust to Outpace Adversaries | GovCIO Media & Research · GovCIO Media & Research · Mar 20
- United States Zero Trust Security Market Growth Report, · openPR.com · Mar 20
- Ask the CIO: Defense Cyber Crime Center | Federal News Network · Federal News Network · Mar 23
- Fighting AI-based Cyberattacks With Preemptive AI-Powered Cyber Deception · meritalk · Mar 12
- Can Zero Trust survive the AI era? | CyberScoop · CyberScoop · Mar 19