Embedding AI security from the get go

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Embedding AI security from the get go
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Watch this Palo Alto Networks keynote to understand the importance of visibility, control and governance in AI application and service development

Research suggests there will be just 250m users of AI enabled applications and services this year, a number which will double by 2027 and hit 1bn by 2029 as companies find new, more innovative ways to harness the technology. And while the number of native AI applications currently available is around 2,000, a lot more are in the pipeline.

But other people are at the same game. Cyber criminals too are busy moulding AI to their own purposes. Which is likely to mean a larger volume of more efficient cyber attacks designed to steal and disrupt mission critical data and services are on the way.

The biggest risk comes perhaps not from external threats but internal employees not understanding how AI is being used within the organization – how it is collecting and processing sensitive data for example. What's needed, says Nikesh, is more better visibility, control and governance to make sure the benefits of AI can be fully enjoyed without any of the risks.

Palo Alto Networks is using AI to make its cybersecurity products and services not only simple to use, but very good at tracking the flow of data across the IT estate in order to understand where it's most vulnerable. That's partially enabled by making sure that applications designed for the AI world are secure by design from their inception.Sponsored by Palo Alto Networks.

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