// LATEST INTELLIGENCE //
EXECUTIVE GUIDE TO SECURING DATA WITHIN GENERATIVE AI
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Introduction
Just like that morning cup of coffee , GenAI chat prompts have become essential to our workday . From marketing and finance to engineering and IT , AI is revolutionizing how departments in your business or government agency operate . It ’ s like the digital shifts we ’ ve seen in the past – only on steroids . Integrating generative AI tools into daily workflows boosts productivity and drives growth . However , this newfound efficiency also opens the door to potentially exposing sensitive data online .
When users upload or paste confidential information into GenAI chats , the language models often store this data and learn from it . No matter how you slice it , that ’ s a significant risk of data loss . AI ’ s insatiable appetite for data , combined with threats like ransomware , makes protecting privacy and ensuring regulatory compliance a complex challenge .
To harness AI ’ s potential without risking your business , you need the freedom to experiment safely . This is where a data-first security approach can be a competitive advantage . By unifying visibility and control , you can innovate securely .
This guide will help you navigate your AI transformation with confidence , offering recommendations and insights on key security capabilities and best practices . Additionally , we ’ ll explore how Forcepoint ’ s AI-powered platform can significantly reduce risks and prevent data loss across applications , making Zero Trust for AI a reality while simplifying compliance . �
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