"The FBI has not been as quick to adopt AI in its day-to-day operations because it handles sensitive data that requires stringent protections and oversight to maintain security and legal standards, he said. "We're trying to catch up in many ways, and part of that is because we have very sensitive datasets that we have to make sure we protect because of the authorities that we have," Leatherman said."
"Cybercrime groups are typically financially motivated hacking collectives who seek profit through hacks like ransomware and data theft. Nation-state units are government-backed operators pursuing political, strategic or intelligence-gathering goals. The lines between the two are sometimes blurred. But nation-state hackers have certainly utilized AI tools as well. Such capabilities have been instrumental for China, a top U.S. cyber adversary, Leatherman added, noting "the [Chinese Communist Party] really is leveraging it to scale their operations right now.""
Generative AI is allowing mid-tier cybercriminal actors to asymmetrically scale capabilities and perform nation-state-type operations that they could not previously achieve. Cybercrime groups remain primarily financially motivated, conducting ransomware, data theft, and profit-driven hacks, while nation-state units pursue political, strategic, or intelligence objectives. The boundary between criminal and state-sponsored hacking is often blurred. China has used AI to scale its cyber operations. The FBI has been slower to adopt AI because of sensitive datasets requiring protections and oversight, but the bureau recognizes room to grow in AI-enabled analysis of logs and intelligence.
Read at Nextgov.com
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