Zero trust for AI workloads
Never trust an AI interaction. Apply zero trust principles to every prompt, every response, and every AI surface. Inspect, verify, protect, log, validate, and govern — with no implicit trust for any interaction.
Six zero trust principles for AI
Inspect Every Prompt
Every AI interaction passes through the inspection pipeline — PII detection, injection analysis, and policy evaluation. No prompt reaches the provider without inspection.
Prompt Firewall →Verify Every Identity
Every AI user is authenticated and authorized. Identity context (user, role, department) informs policy evaluation and audit attribution.
SSO + RBAC →Protect Every Data Element
Sensitive data is detected and masked before leaving the organization. No PII, credentials, or proprietary content reaches AI providers unprotected.
AI DLP →Log Every Interaction
Complete audit trail for every AI interaction: original prompt, sanitized version, detection results, policy decision, and response metadata.
Audit Trail →Validate Every Response
AI responses are checked for harmful content, PII leakage, and compliance violations before reaching the user.
Content Filtering →Govern Every Surface
Consistent security controls across browser, editor, CLI, and API — no unmonitored AI access surfaces.
Multi-Surface →From perimeter to interaction
Traditional zero trust moved security from the network perimeter to identity verification. AI zero trust moves it further — to content inspection. A verified user on a trusted device can still leak sensitive data through AI prompts. Zero trust AI inspects the content, not just the identity and network context.
Implement zero trust AI
Apply zero trust principles to every AI interaction with PromptWall.
Frequently asked questions
What does zero trust mean for AI?+
Zero trust for AI means: every AI interaction is untrusted until inspected. Every prompt is scanned for sensitive data and injection. Every user is authenticated and authorized. Every response is validated. No AI interaction is implicitly trusted — regardless of source, user, or provider.
How does zero trust AI differ from traditional zero trust?+
Traditional zero trust focuses on network access and identity verification. AI zero trust extends these principles to the data plane — inspecting content of AI interactions, not just who sends them and where. A trusted user can still send sensitive data to AI; zero trust AI inspects the content.
Is zero trust AI practical to implement?+
Yes. PromptWall implements zero trust AI principles automatically: every interaction passes through the prompt firewall (inspect), every user is identified via SSO integration (verify), every response can be filtered (validate), and everything is logged (audit). Deployment takes days, not months.