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AI code security lags behind model functionality, research finds

A recent study by TheWeatherReport.ai, an independent AI safety and security research lab, revealed that advancements in AI code security are lagging behind the functional improvements in new frontier models. Ilya Kabanov, founder of TheWeatherReport.ai and an MIT research affiliate, discussed these findings on the IT Ops Query vodcast. The research highlights potential risks for IT organizations as AI models become more capable but less secure in their code generation. AI

IMPACT AI code security is not keeping pace with model advancements, posing risks for IT organizations and highlighting the need for better protective measures.

RANK_REASON The cluster reports on findings from a research lab and an MIT affiliate regarding AI code security, fitting the research bucket. [lever_c_demoted from research: ic=1 ai=1.0]

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AI code security lags behind model functionality, research finds

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Recent research at an independent # AI safety and security research lab, TheWeatherReport.ai, by an # MIT research affiliate and former # Google senior manager

    Recent research at an independent # AI safety and security research lab, TheWeatherReport.ai, by an # MIT research affiliate and former # Google senior manager of # cloud # AIsafety and security showed that # AI code security gains are not keeping pace with functionality gains be…