Salt Safety analysis reveals enterprises struggling to manipulate AI-generated code at scale
PALO ALTO, Calif., June 2, 2026 /PRNewswire/ — 9 in ten safety leaders are involved concerning the safety dangers launched by AI-generated code, in line with new analysis entitled AI Coding Assistants and the New Safety Problem from Salt Safety. The report highlights the rising strain on organizations to manipulate AI-assisted software program growth at scale.
Among the many report’s key findings:
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90% of safety leaders have lively considerations about AI-generated code
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67% say AI coding assistants are actually broadly adopted throughout growth groups
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38% nonetheless rely totally on guide assessment for AI-generated code
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29% determine insecure coding patterns because the main danger launched by AI assistants
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15% cite misalignment with inside safety insurance policies as a significant concern
Carried out amongst IT safety leaders throughout the UK and US, the analysis discovered that AI coding assistants are actually deeply embedded throughout enterprise growth groups, with 67% of organizations reporting widespread adoption. But regardless of speedy uptake, many organizations nonetheless lack the governance constructions wanted to safe AI-generated code successfully.
The findings level to a disconnect between engineering velocity and safety oversight. Whereas AI coding instruments are accelerating software program supply, organizations proceed to rely closely on guide assessment processes that weren’t designed for machine-speed growth.
The report additionally discovered that bigger enterprises face larger operational challenges as AI adoption scales. Organizations with greater than 500 workers have been considerably extra more likely to report considerations round enforcement consistency, developer overreliance and governance complexity throughout distributed growth environments.
“AI coding assistants are essentially altering how software program is constructed, however governance has not saved tempo,” stated Roey Eliyahu, CEO and co-founder at Salt Safety. “Most organizations recognise the dangers, however many are nonetheless attempting to handle AI-generated code utilizing safety processes designed for a pre-AI world. That method doesn’t scale. Safety leaders want visibility, consistency and embedded governance throughout the AI-assisted growth lifecycle earlier than code volumes turn out to be unmanageable.”
The analysis warns that guide assessment alone can’t scale successfully as AI-generated code volumes improve. Reviewer fatigue, inconsistent enforcement and gaps between coverage and apply are creating circumstances for what Salt Safety describes as “safety drift” throughout growth environments.
