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WHY YOU NEED TO RECOGNISE TODAY ’ S AI SPEED PARADOX
Implementing AI tools quickly could lead to mistakes and this underscores the need for a balanced , informed approach to AI integration with cybersecurity , combining strategy with team training . With so much at stake it is wise not to move forwards without careful planning explains Bernard Montel at Tenable .
IT and cybersecurity leaders are currently battling with various challenges around AI . Is AI being used securely and in compliance with regulations ? How is the cybersecurity team contributing to these efforts ?
There is disparity between the speed of AI development and our ability to react creating an AI speed paradox . When we think of historical technology evolution , the speed of AI adaptation is incomparable . In just 12 months , from the start of 2024 to where we are today , is unrecognisable . To keep up we need to move faster to harness its power .
Yet , in contrast , regulation , such as the AI Act , is moving very slowly to control how it is being adapted and harnessed . This leaves a chasm between where we are and where we need to be . There is a danger that
One of the most generic words of advice when implementing AI systems is not to move too fast .
the horse will not just bolt through the open gate but charge through it entirely . We must think security first , before it is too late .
Based on real life experiences , one of the most generic words of advice for IT and security managers , when implementing AI systems , is not to move too fast . An Accenture poll of more than 3,400 IT executives finds nearly three-quarters are purposely exercising restraint with Generative AI investments .
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