Ensuring Data Security in AI-Powered Tools

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Ensuring Data Security in AI-Powered Tools
Artificial IntelligenceAIData Security
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AI has become prevalent in business processes, but its inner workings and dependencies are not fully understood by IT and security teams. This makes AI an attractive target for threat actors. The article discusses the importance of ensuring data security in AI-powered tools.

Artificial intelligence (AI) has become prevalent in significant business processes. For example, AI already filters potential scam uploads and powers recommendations in many popular apps and services. Its outputs are increasingly important for organizations, and it is often granted privileged access to sensitive and even regulated data. However, the technology behind AI tools is very different from the familiar IT stack, and it has emerged quite rapidly.

As a result, IT and security teams often don’t fully understand its inner workings and dependencies. All this makes AI an attractive target for threat actors, who recognize that it provides new and powerful avenues for compromising data security. Accordingly, security teams must ask a key question: How can we ensure the security of data accessed or generated by AI-powered tools? Like it or not, some of your organization’s users are almost certainly utilizing third-party AI tools like ChatGPT

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