This whitepaper introduces AI Security Posture Management (AI-SPM) as a new discipline for securing AI-native systems. It explains that traditional security models fail due to AI’s non-deterministic behavior, evolving models, and complex interactions between data, prompts, and agents. The paper details new threat categories such as prompt injection, data poisoning, model inversion, and supply chain risks, and emphasizes continuous monitoring across the AI lifecycle. It also introduces AISecOps as an evolution of DevSecOps for AI environments. The key takeaway is that securing AI requires continuous visibility, behavioral analysis, and governance across models, data, and integrations—not just code.

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