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AI Security Posture Management (AI-SPM) for Dummies

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Key Takeaways
  • Visibility before controlYou can’t secure AI systems you don’t know exist.
  • Context drives prioritizationLinking cloud config, data flows, and model metadata reveals true attack paths.
  • Governance enables innovationLightweight policy and automation keep guardrails in place without stifling speed.

Is this playbook for me?

This playbook is designed for:

  • Security architects and engineers charged with protecting AI workloads

  • Data-science and ML teams looking to “shift left” on risk and compliance

  • DevOps / platform teams integrating AI pipelines with existing cloud stacks

What’s included?

  • AI risk landscape primer – common and emerging threats, mapped to the OWASP GenAI Top 10.

  • AI-SPM building blocks – AI bill of materials (AI-BOM), data-security posture, and cross-cloud context.

  • Governance & policy templates – practical steps for visibility, access control, and change management.

  • Attack-path analysis workflow – how to trace, visualize, and remediate AI attack chains before they’re exploited.

  • Continuous improvement toolkit – metrics, drills, and feedback loops to keep security posture aligned with fast-moving AI projects.

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