AI TRiSM is Gartner’s framework for managing the trust, risk, and security challenges that AI creates in enterprise environments. It defines four layers that work together to keep AI systems operating within acceptable boundaries:
Catalog every AI asset. Score risk continuously. Enforce accountability from experimentation through production.
Monitor AI models, applications, and agent interactions in real time. Detect and stop threats as they happen.
Control what data AI systems can access. Classify sensitive information. Enforce permissions across every AI interaction.
Apply proven security controls — endpoint, network, cloud, identity — to AI workloads.
Enterprises don’t fail at TRiSM because they ignore it. They fail because they implement it in fragments — one tool for governance, another for runtime, a third for data classification, and manual coordination to hold it all together.
Your governance platform can’t enforce policies at runtime. Your runtime tool doesn’t know what’s in your AI catalog. Every layer operates blind to the others.
Most vendors cover one or two TRiSM layers and call it a platform. The gaps between tools are where incidents happen.
Without a unified system, every policy change requires updating multiple tools, retraining multiple teams, and hoping nothing falls through.
Fragmented TRiSM turns AI adoption into a multi-team approval chain. Business units stop waiting and deploy AI without oversight.
Enterprises don’t fail at TRiSM because they ignore it. They fail because they implement it in fragments — one tool for governance, another for runtime, a third for data classification, and manual coordination to hold it all together.

Gartner defines mandatory capabilities for TRiSM solutions. Singulr delivers each one natively, not through integrations or partner products:
Singulr Pulse™ maintains a continuously updated inventory of all AI models, applications, agents, and datasets across your environment.
Contextual Discovery tracks data usage across AI systems with full lineage from source to consumption.
Red teaming runs continuously while runtime protection monitors production AI in real time.
Automated workflows handle vetting before deployment. Runtime controls maintain governance after launch.
Natural language policy engine with automated enforcement and audit trails for regulatory requirements.
Works across proprietary models, open-source systems, cloud services, and third-party vendors without lock-in.

Singulr gives you a single platform that covers all four TRiSM layers with connected enforcement. See every AI asset, its risk score, and what controls are active — without correlating data across disconnected dashboards.

Singulr replaces the multi-tool, multi-team coordination tax with a single control plane. Track AI usage, enforce standards, and measure adoption across the organization from one system.

Singulr provides complete audit trails of AI activity, data access, and policy enforcement across all four TRiSM layers. Map directly to NIST, EU AI Act, HIPAA, and industry-specific regulations.




