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AI is a powerful tool whichever way you slice it.
But amongst the hype there is also some misinformation that has crept in.
to really embrace the power of AI we need to understand it.
Lets look at some of the current myths and how things are actually unfolding for AI in cybersecurity.
Chief Product Officer, Secureworks.
Cybercriminals are opportunists, more like a cat burglar than a criminal mastermind.
They want to get the maximum outcome for minimal effort.
And right now, the tried and tested methods that are low-tech and low-cost are still getting them results.
That said just because we arent seeing a big uptake right now doesnt mean it wont happen.
They are experimenting with it, and we can expect that it will increasingly become part of their toolset.
This can decrease detection times, which in turn accelerates response time.
Acceleration and efficiency are also helping to improve one of the biggest challenges in cybersecurity today the talent gap.
It’s this ability to grow that has many people excited for the future of AI in cybersecurity.
AI will be able to quickly review historicaldataand use it to help predict potential vulnerabilities and attack vectors.
AI systems can exist in a state of constant evolution, continuously learning and adapting to improve their effectiveness.
These improvements can further be tailored to the organizations industry and goals to create more bespoke cybersecurity measures.
These qualities are essential for understanding context, making nuanced decisions, and strategizing.
For example, lets say a detector with AI is looking at data from anendpointinside an industrial machine shop.
AI can support this process, but it cant replace the creative minds and strategic thinking that experts provide.
An organizations comprehensive cybersecurity plan will always need human oversight and expertise.
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The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
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