This ebook provides a practical introduction to AI security, outlining the most common risks and how organizations can mitigate them. It identifies four key threat categories—adversarial attacks, model inversion, data poisoning, and model theft—highlighting how attackers exploit AI systems. It then presents five core security strategies, including tenant isolation, regular audits, threat modeling, secure development, and the use of AI-SPM solutions for visibility and monitoring. The ebook also emphasizes how AI can strengthen cybersecurity by improving threat detection, automating workflows, and accelerating incident response. Overall, it shows that securing AI requires both proactive risk management and leveraging AI itself to enhance defense capabilities.

Join for free to read