GenAI Security Best Practices Cheat Sheet
AI and GenAI have become essential pillars for organizations aiming to enhance productivity and innovation. However, the task for security teams to secure AI pipelines is no small feat.
This cheat sheet provides a practical overview of the 7 best practices you can adopt to start fortifying your organization’s GenAI security posture. Inside you’ll find:
Understanding AI risks and best practices: Get to grips with threats like data poisoning, model theft, and adversarial attacks, plus how to mitigate them.
Securing your AI pipeline: Learn how Wiz’s AI-SPM can safeguard your AI projects.
Enhancing security with AI: See how AI can boost your security operations and incident response.
Generative AI (GenAI) security is an area of enterprise cybersecurity that zeroes in on the risks and threats posed by GenAI applications. To reduce your GenAI attack surface, you need a mix of technical controls, policies, teams, and AI security tools.
The deployment of GenAI, LLMs, and chat interfaces expands potential attack surfaces and poses increased security threats.
Learn security best practices to deploy generative AI models as part of your multi-tenant cloud applications and avoid putting your customers’ data at risk.
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