AI Security Posture Management (AI-SPM) Buyer’s Guide

Who this guide is for

This buyer’s guide is designed for organizations that are adopting AI and need to secure it responsibly. It’s especially relevant for:

• Security leaders (CISO, Head of SecOps) who need a framework to define AI security strategy and reduce organizational risk as AI adoption accelerates.

• Cloud security and platform teams who manage the infrastructure, pipelines, and services that AI depends on, and need visibility into AI-specific risks.

• AI/ML engineers and data scientists responsible for building models, handling training data, and maintaining AI systems — but who need security guardrails.

• Compliance, risk, and governance teams who must ensure AI use aligns with rapidly evolving regulations and internal policies.

• Engineering leaders introducing GenAI into apps or workflows who need to ensure AI ships securely and resiliently.

What’s included

A complete breakdown of the emerging AI security landscape and the capabilities required to secure AI environments, including:

Why AI security is uniquely challenging

Covers complexity, non-determinism, privacy risks, lack of standardization, and new attack surfaces.

The full spectrum of AI risks

Includes classic threats (data breaches, DoS, supply chain risks) and AI-specific threats (model theft, adversarial attacks, shadow AI).

A clear definition of AI-SPM and why it matters

Explains AI-BOM, contextual risk analysis, threat detection, integration with cloud context, and protection for training data, models, and pipelines.

Benefits of adopting AI-SPM

Unified visibility, faster time-to-production, effective risk reduction, improved incident response, simplified compliance, and stronger collaboration.

Self-assessment checklists

Detailed questions to evaluate readiness across visibility, risk identification, risk prioritization, and threat detection in AI pipelines.