As enterprises accelerate their AI adoption, trust, risk, and security management (TRiSM) have become critical to ensuring safe and ethical AI deployment. Gartner’s Market Guide for AI TRiSM defines a layered framework that enterprises can use to systematically enforce governance, security, and risk mitigation policies. This blog series breaks down AI TRiSM and its implications for enterprises. In this installment, we’ll explore the AI TRiSM technology functions that Gartner represents as a pyramid and highlight how AppSOC uniquely supports these critical layers.

Understanding AI TRiSM Technology Functions

The AI TRiSM framework consists of five layers, each serving a crucial role in mitigating AI risks while ensuring security and compliance:

1. AI Governance
2. AI Runtime Inspection and Enforcement
3. Information Governance: Data Protection, Classification, and Access Management
4. Infrastructure and Stack
5. Traditional Technology Protection

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Layer 1: AI Governance

AI governance ensures that AI systems align with enterprise policies, ethical guidelines, and regulatory requirements. This layer includes AI inventory management, model validation, compliance monitoring, and responsible AI initiatives. According to Gartner, AI governance involves establishing enterprise-wide AI policies, defining acceptable use frameworks, and ensuring continuous oversight of AI models and applications.

How AppSOC Supports AI Governance: AppSOC offers a robust governance platform that helps enterprises manage AI assets, enforce governance policies, and maintain compliance. Key capabilities include:

• AI discovery and inventory
• Continuous risk assessment and security posture management
• Responsible AI filtering for fairness, safety, and explainability
• Automated model testing and regulatory compliance tracking

Layer 2: AI Runtime Inspection and Enforcement

AI runtime inspection and enforcement involves monitoring AI applications, models, and agent interactions in real-time to detect policy violations, anomalies, and security threats. This layer ensures AI behaves as intended and does not produce harmful or biased outputs. Gartner highlights the importance of real-time monitoring and automated policy enforcement to mitigate risks such as AI bias, adversarial attacks, and data leakage.

How AppSOC Strengthens AI Runtime Inspection and Enforcement: AppSOC provides real-time AI security and policy enforcement through:

• AI runtime monitoring and anomaly detection
• Context-based access controls
• Automatic blocking of harmful AI outputs (e.g., hallucinations, data leaks)
• AI supply chain security and runtime model validation

Layer 3: Information Governance

Information governance is critical to AI security, ensuring that AI models only access properly secured and permissioned data. This includes data protection, access controls, encryption, and regulatory compliance. According to Gartner, information governance in AI TRiSM involves creating enterprise-wide policies to manage AI data usage, ensuring privacy protections, and preventing unintended data exposure.

AppSOC’s Approach to Information Governance: The AppSOC AI Security platform includes security and access control solutions to prevent data leaks. While AppSOC does not provide Data Security Posture Management (DSPM) or Data Classification, it offers:

• AI-specific Data Loss Prevention (DLP) to monitor and prevent unauthorized data exposure
• Enforcing access controls to ensure only authorized users and AI models can access sensitive data
• Broader security controls, vulnerability protection and policy enforcement, to prevent data leaks and unauthorized AI interactions

Layer 4: Infrastructure and Stack

The infrastructure and stack layer ensures that AI applications run in a secure, compliant, and resilient environment. This includes securing AI workloads, APIs, compute environments, and cloud-based connected applications. Gartner notes that infrastructure security is essential for ensuring AI models are deployed safely and that AI workflows are protected against cyber threats.

How AppSOC Supports AI Infrastructure Security: AppSOC is the only vendor that provides AI security on top of a robust application and infrastructure security platform. This includes:

• Protecting AI workloads in cloud, hybrid, and on-prem environments
• Mapping AI assets to underlying applications
• Correlating threats across all application and AI layers
• Automating remediation of AI and application security issues

Bringing AI TRiSM to Life with AppSOC

While AI TRiSM is still an evolving domain, enterprises cannot afford to delay implementing strong governance, runtime monitoring, and security measures. AppSOC provides an integrated AI TRiSM solution that uniquely spans all four Gartner-defined layers, ensuring enterprises can adopt AI securely and responsibly.

Key Takeaways:

• AI governance and runtime enforcement are rapidly emerging as essential components of AI security.
• Traditional security measures alone are inadequate in protecting AI systems from data leaks, adversarial attacks, and regulatory non-compliance.
• Enterprises need a layered approach to AI TRiSM, covering governance, runtime monitoring, information security, infrastructure, and traditional technology protection.
• AppSOC provides an end-to-end solution that enables enterprises to secure AI from development to deployment.

In our next installment, we’ll explore best practices for integrating AI TRiSM into enterprise security strategies. Stay tuned as we continue demystifying AI TRiSM and helping organizations secure their path to AI adoption.