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Zero Trust for Agentic AI

TealTiger is Zero Trust–aligned, applied to what traditional Zero Trust does not fully cover: AI agents and LLM-driven execution at runtime. In classic Zero Trust, the key questions are: who is making the request and should they access a resource.
In agentic AI, the key questions expand to: should this agent do this action right now, is this output safe to release, and what is the blast radius if it’s wrong.
TealTiger addresses those questions by providing policy-based, context-aware runtime governance for:
  • Tool and action invocation
  • Prompt and response handling
  • Sensitive data egress and redaction
  • Cost and token budget enforcement
  • Auditability with reason-coded decisions

What “Zero Trust” means in TealTiger

TealTiger implements Zero Trust principles as a runtime decision layer:
  • Never trust by default: Every LLM call, tool call, and output egress is evaluated against policy.
  • Verify continuously: Decisions are re-evaluated based on context, risk, and execution identity.
  • Enforce least privilege: Agents and tools receive only the permissions required for the task.
  • Assume breach: Policies are designed to contain failures such as prompt injection and hallucination.
  • Audit everything: Every decision is explainable, reason-coded, and traceable.
One-line positioning: TealTiger is Zero Trust for AI agent execution—least privilege, continuous verification, and blast-radius control for tools, data, and spend.

Zero Trust principles mapped to TealTiger capabilities

Never Trust, Always Verify

Every agent interaction is evaluated at runtime using explicit policies instead of implicit trust.

Least Privilege

TealTiger limits which tools, data, actions, and budgets an agent can access based on context.

Assume Breach

The platform expects failure scenarios and constrains blast radius through deny, redact, and approval gates.

Continuous Evaluation

Decisions are re-evaluated across the full execution lifecycle, not only at entry points.

Explicit Policy Enforcement

All controls are contract-driven and enforced deterministically, not via prompt guidance.

Enterprise Zero Trust alignment

TealTiger complements existing Zero Trust investments:
  • IAM / SSO handles identity
  • ZTNA / network controls handle access paths
  • TealTiger governs AI agent behavior and LLM execution

What TealTiger does not claim

TealTiger is not a replacement for IAM, ZTNA, or network security platforms. It focuses exclusively on AI runtime governance.