""Back in 2020," says Anthony Young, CEO at managed security services provider (MSSP) Bridewell, "predictions that AI [artificial intelligence] would reshape defensive strategies seemed optimistic; today, they look understated.""
""AI-powered code generation sped up development but also introduced logic flaws when models filled gaps based on incomplete instructions. AI-assisted attacks became more customised and scalable, making phishing and fraud campaigns harder to detect.""
""I expect to see more serious, less hype-driven adoption of AI on the defensive side: correlating weak signals across IT, OT [operational technology], cloud and identity, mapping and prioritising assets and exposures continuously, and reducing the cognitive load on analysts by automating triage," says Ferguson."
Predictions that AI would reshape defensive strategies have proven understated as AI begins to underpin cyber defenses. Foundational progress in 2025 accelerated adoption and exposed risks from AI-powered code generation that introduced logic flaws when models filled gaps from incomplete instructions. AI-assisted attacks became more customised and scalable, increasing difficulty of detecting phishing and fraud. AI amplifies existing controls or their absence, making security an ecosystem concern encompassing LLMs, generative AI apps, AI agents and infrastructure. Defensive adoption will mature toward correlating weak signals across IT, OT, cloud and identity, continuous asset prioritisation, and automated triage to reduce analyst cognitive load.
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