Whitepaper: Agentic AI and network functions
Free download · PDF · 8 pages
What's inside?
The most comprehensive technical analysis on securing agentic AI systems with identity-first Zero Trust is the security model NIST formalizes in SP 800-207: network location grants no implicit trust, and every access is authenticated and authorized separately. In banking and insurance it limits lateral movement after a credential is stolen; BlueUP applies it with per-service cryptographic identity.Read more → Zero Trust architecture. Designed for CISOs, CTOs, and security leaders in regulated entities.
Table of contents
| Chapter | Content |
|---|---|
| 1. Problem contextualization | Complete rogue agent attack scenario |
| 2. Strategic vision and pillars | Improved security, faster innovation, simpler deployment |
| 3. Fundamental principle | Zero Trust and "identity first": authenticate and authorize before connecting |
| 4. Real breach scenario | 5 detailed attack phases with controls at each point |
| 5. Credential control | Cryptographic identity vs. tokens and shared credentials |
| 6. Runtime containment | Sandboxes, eBPF, behavioral baselining, kill switch |
| 7. Exfiltration control | DLP, egress inspection, identity-bound approved paths |
| 8. Lateral movement | Identity-first service policy, eliminating the "connectivity tax" |
| 9. Tool authorization | MCP Gateway for identity-based tool governance |
| 10. Autonomic governance | LLM/MCP Gateways, multi-step approval, auditability |
| 11. The NetFoundry framework | Three control categories: core strength, gateway, local containment |
| 12. Deployment ease | Running on existing infrastructure without rebuilding the network |
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