AI Security Posture Management (AISPM, also written AI-SPM) has rapidly emerged as one of the defining categories of the enterprise AI security stack. AISPM platforms provide centralized visibility into an organization's AI assets — models, data pipelines, agents, and applications — and continuously assess their security posture against policy baselines, regulatory requirements, and threat intelligence.
The category draws a direct parallel to Cloud Security Posture Management (CSPM), which became a billion-dollar market as enterprises migrated to the cloud. Just as CSPM platforms discovered and remediated cloud misconfigurations at scale, AISPM platforms are designed to discover shadow AI deployments, identify misconfigured model permissions, detect over-privileged AI agents, and enforce governance policies across hybrid AI environments. Major CSPM vendors including Orca Security, Wiz, and Palo Alto Networks (Prisma Cloud) have already added AI-SPM capabilities to their platforms.
Specialized AISPM startups are pushing the category forward with deeper AI-native capabilities. Protect AI provides a comprehensive platform spanning AI model scanning (Guardian), AI application firewalling (Layer), and posture management (Radar). Pillar Security, Raga AI, and Cranium offer purpose-built AISPM platforms that go beyond cloud-centric approaches to address the full AI lifecycle. Meanwhile, Snyk has extended its developer security platform to cover AI-generated code and AI application dependencies.
AISPM is the category our analysts are watching most closely. It sits at the center of the AI security stack — integrating signals from model security, data security, observability, and governance into a unified risk view. As enterprises move from ad-hoc AI security to programmatic AI risk management, AISPM platforms will become the orchestration layer that ties everything together. We expect this to be a $2B+ standalone category by 2028.