Skip to main content
Agentic AI changes the governance equation. When systems can decide, call tools, move data, and act across your stack, a single prompt, plugin, or misconfigured tool permission can trigger a chain of actions with real-world impact. TealTiger is a runtime governance SDK — governance teams define policy, developers consume a locked-down SDK, and every decision produces cryptographic evidence. No LLM in the governance path. No infrastructure required.

​
The Problem: Agentic Blast Radius

Traditional AppSec assumes code changes flow through reviews, CI, and deployments. Autonomous agents bypass this entirely — they are influenced at runtime by:
  • Prompt injection — Malicious instructions in user input, tool outputs, or retrieved documents
  • Tool abuse — Over-permissioned connectors, MCP tools, or plugins executing without governance
  • Data exfiltration — Sensitive data leaking through agent memory, tool outputs, or markdown rendering
  • Cost explosion — Looping agents, reasoning-token abuse, multi-tool fan-out
  • Identity gaps — Agents operating without verified identity, accumulating privileges indefinitely
  • Behavioral drift — Subtle changes in agent behavior that don’t trigger explicit policy violations
Governance must be enforced where the agent acts — at every decision point where prompts, tools, data, and models intersect.

​
How TealTiger Reduces Blast Radius

Agentic Threat Kill Chain — Where TealTiger Enforces Even if an attacker reaches a stage in the kill chain, TealTiger constrains what the agent can do next — reducing blast radius and producing evidence of enforcement at every stage.

​
How TealTiger Differs from “Guardrails”

​
What You Can Govern

Identity & Access

Agent lifecycle (active/suspended/revoked), scope enforcement, Zero Standing Privilege with JIT grants, cryptographic attestation.

Security & Detection

Prompt injection (regex + ML), secret detection (500+ patterns), Unicode normalization, encoded output detection, content classification.

Tools & Actions

Registry allowlists, MCP drift detection, FREEZE rules for critical actions, CODE_CHANGE governance with two-person rule.

Cost & Resources

Governance-owned budget ceilings, reasoning-token budgets, cost anomaly detection, per-agent attribution.

Time & Sessions

Session TTL enforcement, cooldown periods between sensitive actions, time-of-day restrictions, context size governance.

Evidence & Audit

Cryptographic governance receipts, SIEM export (JSON/CEF/LEEF), OpenTelemetry spans, Governance Passport for continuous coverage proof.

​
The Operating Model

Enterprise Operating Model — Separation of Duties This mirrors how enterprises handle network security (NetSec defines firewall rules, developers deploy behind them) and data governance (DBA defines access policies, applications connect through them).

​
When TealTiger Is a Fit

Use TealTiger if you are building:
  • AI agents that call tools, access data, or take autonomous actions
  • Multi-agent systems that need coordinated governance
  • Regulated AI workflows requiring auditable evidence (financial services, healthcare, government)
  • Enterprise deployments where governance teams and development teams are separate roles
  • Systems where you need to prove governance was enforced — not just claim it

​
Next Steps

Quickstart

Get governance running in 5 minutes

Governance at Scale

Enterprise operating model — separation of duties

OWASP Policy Pack

Zero-config governance for all 10 ASI risks

Core Concepts

How decisions are evaluated and enforced