This asset focuses on the unique risks of generative AI environments, including prompt injections, insecure outputs, sensitive data leaks, and agent hijacking. It critiques fragmented point solutions and introduces Prisma AIRS as a unified AI-native security platform. Key capabilities include model scanning, posture management, AI red teaming, agent security, and runtime protection. The guide stresses the importance of integrated safeguards across the GenAI lifecycle to protect models, data, and agents while enabling innovation securely.
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