As cybersecurity leaders and their organizations experiment with generative AI, it’s important that they contain the potential risks and threats that generative AI brings with it. These risks and threats include everything from accidental data leakage to hackers manipulating the AI to perform malicious tasks. Fortunately, cybersecurity leaders who have already invested in traditional AI solutions such as machine learning (ML) to maximize their time and talent can leverage AI to fight back. They can use generative AI tools to secure data and users and detect and thwart potential attacks.

In this guide, you’ll learn how today’s security landscape is changing and how to navigate the challenges and tap into the resilience of generative AI. We’ll explore how cybercriminals will use generative AI against you, how you can better protect yourself by using AI to maximize your cybersecurity time and talent and provide a framework to help you secure AI training data, models and applications across your enterprise.

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