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DARPA believes AI Cyber Challenge could upend patching as the industry knows it 

ID: c27e5d98-1762-5670-ba7e-bc482fe1e84b

STIX ID: report--c27e5d98-1762-5670-ba7e-bc482fe1e84b

Feed Name: CyberScoop

Date Published: 2025-04-30

Date Updated: 2026-04-21

Author: Greg Otto

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At RSAC 2025, DARPA and partner agencies outlined a vision for using large language models combined with formal methods to dramatically reduce vulnerabilities in critical infrastructure software, citing AI Cyber Challenge results where AI-assisted tools found and patched synthetic flaws in major open-source projects. Speakers emphasized the urgency of faster patching in healthcare and transportation while acknowledging regulatory, liability, and legacy system obstacles, with DARPA advocating for transformative offsets over incremental improvements.

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