Converged Cyber AI: A Paradigm Shift in Cybersecurity

The advancement of generative AI capabilities presents enormous potential for modernizing government operations but it also introduces new security gaps. While automation allows developers to move from concept to minimum viable product faster than ever, adversaries are developing similar AI-enabled techniques to discover and exploit security vulnerabilities.

To maximize generative AI benefits while minimizing threats, cybersecurity solutions must leverage AI as a first thought, not an afterthought. An AI-centric approach will enhance agencies’ abilities to both identify novel attacks and prepare to defend against them. To that end, Leidos is developing innovative converged cyber AI solutions with broad applications across government, from digital modernization to enhancing cyber-physical systems.

Generative AI for government

“The phrase ‘transformational technology’ is often overused,” says Bobby Scharmann, principal investigator for converged cyber AI at Leidos. “But with generative AI, it’s really appropriately used — there’s broad applicability in virtually every sector of our culture, from music and education and movies to improving the way humans and machines interact with each other.”

In the government space, generative AI has the potential to help solve the constant need to do more without an increased budget. Automated processes give human experts more time for deeper analysis and innovation. While fears around being replaced by AI have contributed to an often binary view of AI — that a task is either manual or entirely co-opted by AI — it’s more of a spectrum, with augmented decision-making as a sweet spot.

To learn more about how Leidos can help your agency successfully implement generative AI, download this PDF.