Singulr AI Glossary

AISPM, or AI Security Posture Management, is the practice of continuously identifying, assessing, and improving an organization's security position across all of its AI systems. It answers the question: across every AI model, agent, and tool in our environment, where are we exposed, and what needs to be fixed? AISPM matters because most organizations have lost track of their AI footprint. As teams adopt AI tools independently, the number of models, agents, and integrations grows in ways that security teams can't see or manage. AISPM brings the same discipline that cloud security posture management (CSPM) brought to cloud infrastructure — continuous discovery, risk assessment, and remediation — to the AI layer. AISPM typically covers several capabilities. Discovery and inventory identifies every AI asset in the environment, including models, agents, APIs, plugins, and shadow AI tools used without IT approval. Risk assessment evaluates each asset against security policies, compliance requirements, and threat models to identify gaps. Posture scoring provides a measurable view of AI security health across the organization. Remediation guidance tells security teams exactly what to fix and how to prioritize. Continuous monitoring ensures that new AI deployments and configuration changes don't introduce new risks without detection. For enterprises, AISPM is the foundation of an AI security program. You can't protect what you don't know about, and you can't prioritize fixes without understanding your risk. In regulated industries, AISPM also provides the documentation and evidence that auditors and regulators expect to see when evaluating how an organization manages its AI risk.