# What is AI Security Posture Management (AI-SPM)?

> AI security posture management is an emerging, non-standard industry label for processes and capabilities that discover AI assets and assess their security state.

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## Content

Depending on implementation, its inventory may cover datasets, models, registries, notebooks, pipelines, prompts, vector stores, applications, APIs, agents, tools, identities and infrastructure. Findings can include exposed endpoints, excessive permissions, unsafe configurations, missing ownership, weak provenance and gaps between policy and deployment.

The useful outcome is not a single score but evidence of what exists, who owns it, which controls apply and what should be fixed first. Effective posture management correlates development, cloud, machine-learning, data, identity and runtime evidence, then routes findings into accountable remediation and exception workflows.

### Key points

- **Inventory context:** Record owner, purpose, lifecycle stage, model and data lineage, environment, users, integrations, permissions, sensitivity, provider and applicable policy for each asset.
- **Assessment:** Compare observed configurations and relationships with approved baselines; identify public exposure, stale or untrusted artifacts, risky data paths, overprivileged agents and missing monitoring or evaluation evidence.
- **Operations:** Prioritize by reachable consequence, assign a responsible team, preserve evidence, track exceptions, verify remediation and reassess after changes rather than treating discovery as a one-time scan.
- **Integration:** Connect posture work with AI governance, cloud and application security, data protection, vulnerability management, model evaluation and incident response instead of creating a disconnected AI console.
- **Important limitation:** AI-SPM has no universally accepted scope or standard, and vendors group different functions under the name. Coverage depends on integrations and visibility; a posture score cannot prove that a model is trustworthy, an application is secure or an AI use is safe.

### Related terms

[Cloud security posture management (CSPM)](<https://yellowcube.eu/glossary/cloud-security-posture-management/>) · [AI governance](<https://yellowcube.eu/glossary/ai-governance/>) · [Shadow AI](<https://yellowcube.eu/glossary/shadow-ai/>) · [AI security](<https://yellowcube.eu/glossary/ai-security/>)

### Sources

[OWASP GenAI Security Solutions Reference Guide Q2–Q3 2025](https://genai.owasp.org/resource/owasp-genai-security-project-solutions-reference-guide-q2_q325/) · [NIST AI Risk Management Framework 1.0](https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-ai-rmf-10) · [MITRE ATLAS](https://atlas.mitre.org/)

## Attribution and scope

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