COMPEL Glossary / zero-trust-architecture
Zero-Trust Architecture
Zero-trust architecture is a security framework built on the principle that no user, device, system, or AI agent should be trusted by default, regardless of whether they are inside or outside the network perimeter.
What this means in practice
Every access request must be explicitly verified, authorized based on the principle of least privilege, and continuously monitored for suspicious behavior. For AI systems, zero-trust is particularly relevant because AI workloads often access sensitive data, make consequential decisions, and in the case of agentic AI, take autonomous actions that require granular access control. For organizations, zero-trust architecture addresses the reality that traditional perimeter-based security is insufficient for modern AI deployments spanning cloud, edge, and multi-tenant environments. In COMPEL, zero-trust for AI is covered in Module 3.3, Article 5 on AI security architecture.
Why it matters
Zero-trust architecture addresses the reality that traditional perimeter-based security is insufficient for modern AI deployments spanning cloud, edge, and multi-tenant environments. Every access request must be verified regardless of source, which is particularly critical for agentic AI systems that access sensitive data and take autonomous actions. Organizations without zero-trust approaches face escalating security risks as AI deployments expand beyond controlled environments.
How COMPEL uses it
Zero-trust for AI is covered in Module 3.3, Article 5 on AI security architecture within the Technology pillar. During the Model stage, zero-trust principles are designed into the AI platform architecture. The Produce stage implements granular access controls and continuous verification for AI workloads. The Agent Governance layer enforces least-privilege access for autonomous agents, and the Evaluate stage audits access patterns for zero-trust compliance.
Related Terms
Other glossary terms mentioned in this entry's definition and context.