Artificial intelligence is accelerating cybersecurity threats, while AI adoption is posing urgent risks around data, identity, trust and operational decision-making.
Agencies grappling with those challenges are exploring how to securely adopt AI for both general purpose use and cyber defense.
Thomas Edgar, the chief cybersecurity scientist at Pacific Northwest National Laboratory, said PNNL’s research explores both the risks and opportunities posed by advanced AI models.
Complex and sensitive workflows, such as cybersecurity tasks, might require more consistent check-ins compared to less sensitive tasks.
“We know how to vet and validate our data processes.