The Cybersecurity and Infrastructure Security Agency has gotten “by far” the biggest gains from artificial intelligence automation in its security operations unit to help analysts sift through threats, but it’s also proven valuable elsewhere within the agency, CISA officials said Tuesday.
It’s “really allowing those analysts to do triage very fast, so they focus on what matters versus the noise,” Tammy Barbour, acting chief of application management at CISA, said. “They’re able to do a lot of real-time, quick looks before events happen in most places.”
Barbour, speaking at the UiPath FUSION Public Sector event hosted by Scoop News Group, said automation has also been a boon to CISA’s Technology Operations Center.
“The top analysts are able to quickly respond to customers who are reaching out to talk and asking questions, and be able to get real-time efficiencies with that,” she said.
And it’s been a big help for data migration, Barbour said.
Lauren Wind, acting deputy chief technology officer at CISA, said from her wing of the department, it’s focused on finding benefits from automation in areas like human resources, contracting and finance.
“So we can continue to drive mission, but also accelerate the mission-supporting functions,” she said. “We really want to ensure that our cyber analysts are focusing on the things that matter, like malware.”
But there are some barriers to adoption of the technology, both said.
“We’re still kind of in our infancy,” Barbour said. “But we still struggle with the legacy workflows, processes. We still have some systems that need to be modernized, that we’re currently working towards adoption. People love their spreadsheets. I just can’t force it out of their hands, especially the — sorry, all the accountants in the room, I apologize, but you’ve got to let it go.”
AI governance needs to be laid out in advance, too, and transparently, Wind said.
“One of the biggest things is ensuring that the CTO is driving governance, whether that’s for data, whether that’s for AI,” she said. “I think we’re pretty good on generative, and everyone’s a little bit catching up to industry on agentic.”
How to handle data is another consideration, Wind said.
“Whether you’re on the cloud and you’re serverless or you’re still on prem, if you haven’t figured out what your structure of your data platform looks like, it makes automation a lot more difficult,” she said.
The comments from Barbour and Wind offered a window into how CISA is viewing AI internally. Much of the agency’s recent work related to AI is focused on advice for safe deployment of agentic AI at other organizations, or examination of the way AI is deepening threats.
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