Free eBook & Executive Decision Brief
Your Homegrown Authorization Has an Agent Problem
Autonomous AI agents do not follow static routes or respect hardcoded roles. Discover how to control what AI agents access, do, and expose at runtime, without a disruptive rip-and-replace of your existing identity stack.
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Inside the Guide: What You Will Learn
The Enterprise Blueprint for Runtime AI Governance
The True Cost of Building:
A technical breakdown of extending in-house solutions across all 5 Full-Flow AI Guardrails:
- Stage 1:
Prompt - Stage 2:
Retrieval - Stage 3:
MCP / Tools - Stage 4:
Action / API - Stage 5:
Output
- Stage 1:
The Non-Intrusive Discovery Model:
How to run alongside existing code in shadow mode to learn access patterns, observe agent behavior, and auto-suggest policies.
The 3-Phase Migration Blueprint:
How to deploy alongside existing systems starting with a single agent use case, then systematically retire legacy code app-by-app.
The Standalone Executive Decision Brief:
A ready-to-forward, one-page memo for your CISO and CTO to resolve the internal “we’ll build it” debate.
Proven Enterprise Success Patterns
Global Pharmaceutical Giant
Enforced pre-retrieval RAG filtering across multi-cloud GenAI research agents, protecting unreleased clinical trial data across regional borders.
US Wealth Management Leader
Implemented action- and parameter-level MCP controls to govern autonomous advisor agents and prevent excessive trade execution authority.
US Regional Bank
Deployed runtime authorization as a sidecar alongside 40+ legacy banking services, going live with an agentic assistant in weeks without rewriting core code.
Free eBook & Executive Decision Brief
Includes instant access to the one-page C-Suite Decision Brief.