Rolling out AI? 5 security tactics your business can't get wrong - and why

As AI capabilities expand, so do the ways they can be exploited. Organizations wrestle with the risk of exposing systems to new threats while also fearing they will fall behind competitors that adopt AI. Building cross-team expertise is crucial. Barry Panayi says many staff at his firm already understand AI cyber risks and urges professionals to boost their security knowledge, with security specialists and AI teams working together.

Nick Pearson stresses that strong security still rests on fundamentals: secure-by-design approaches, standards, capabilities and effective data governance, folding AI into existing frameworks rather than creating separate, risky processes. Practical governance helps unlock AI’s benefits safely.

Martin Hardy highlights an internal AI governance forum that allows use of AI while ensuring data and use cases are controlled; he frames AI as an aid, not the final answer. That mentality reduces the chance of deploying AI in ways that introduce avoidable risk.

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