Zero Trust Architecture
Definition
Zero trust is a security architecture model based on the principle that no user, device, or service should be implicitly trusted, regardless of whether it is inside or outside the network perimeter. Every access request must be authenticated, authorized, and encrypted before access is granted.
The concept was formalized by NIST in Special Publication 800-207, which defines zero trust architecture (ZTA) as "an enterprise cybersecurity plan that utilizes zero trust concepts and encompasses component relationships, workflow planning, and access policies."
Why It Matters
Traditional perimeter security operates on a simple assumption: everything inside the network is trusted, everything outside is not. This model fails in a world of cloud infrastructure, remote workforces, SaaS applications, and API-first architectures where the network boundary is no longer definable.
Zero trust eliminates the concept of a trusted zone. Every request -- whether from a laptop on the corporate LAN or an API call from a cloud service -- is evaluated against the same policy: verify identity, check authorization, encrypt the communication, and log the transaction.
For enterprises, zero trust is not optional. Executive Order 14028 mandates zero trust adoption for US federal agencies. SOC 2, HIPAA, and PCI-DSS auditors increasingly evaluate whether organizations implement zero trust principles. Enterprise customers include zero trust questions in every vendor security questionnaire.
Core Principles
- Verify explicitly -- Authenticate and authorize every request based on all available data: identity, location, device, data classification, and anomaly signals
- Least privilege access -- Grant the minimum access required for each specific task, with time-bounded permissions
- Assume breach -- Design systems assuming any component may be compromised. Minimize blast radius through segmentation and monitoring.
How BAG Uses It
We implement zero trust architecture across every engagement -- cloud migrations, AI platforms, data engineering, and security programs. Our production AI platform operates with zero trust controls on all 68 MCP server connections, enforcing authentication, authorization, and encryption on every tool invocation.
Related Terms
SOC 2 | Kubernetes | Cloud-Native | DevOps