AI security posture management (AI-SPM) tools, sometimes known as AI TRiSM (Artificial Intelligence Trust, Risk, and Security Management), are an emerging market of software that discovers, monitors, assesses, and remediates AI security misconfigurations to reduce the risk of sensitive data loss. This software helps organizations:
Secure the use of generative AI tools, chatbots, and AI agents across applications and systems
Continuously discover AI integrations, flag sensitive AI-generated content, monitor data flows, and enforce security policies to prevent sensitive data exposure, control agent behavior, and reduce business risk
Security tools, such as network firewalls, email gateways, endpoint detection, and enterprise browsers, traditionally do not monitor or detect SaaS integrations with AI. AI-SPM tools close this gap by giving security teams visibility into which AI applications are connected, what data they access, and how agents act, while providing controls to stop data loss or malicious actions.
AI-SPM software is used by security teams seeking to prevent data leakage through AI integrations and visibility into connected AI tools. Compliance and governance teams responsible for ensuring responsible AI use may use these tools as well. This software differs from other security posture management tools such as data security posture management (DSPM) software, cloud security posture management (CSPM) software, application security posture management (ASPM) software, and SaaS security posture management (SSPM) software because it specifically addresses AI agent and integration security risks rather than on securing cloud infrastructure, data stores, SaaS configurations, or application code. It also differs from AI governance tools, as those tools manage the ethical, regulatory, and lifecycle compliance concerns of AI systems rather than securing AI assets.
To qualify for inclusion in the AI Security Posture Management (AI-SPM) category, a product must:
Discover AI assets such as applications, chatbots, agents, AI-generated content, and integrations
Monitor permissions and data access across SaaS applications, APIs, and other environments
Continuously assess AI integration risks, evaluating misconfigurations, policy violations, and sensitive data exposure to external AI services
Enforce security policies through remediation, such as limiting agent permissions or blocking unauthorized AI activity
Maintain governance and audit trails to support compliance requirements
