CoolFace
Modelpublic

sudarsonisb/agentic-ai-security-governance-financial

sourceHugging Faceupdated 5mo agoView on Hugging Face
0likes
Model Card

Agentic AI Security & Governance Strategy for Large Financial Organizations

A Dual-Perspective Framework: CISO + Principal Data Scientist / AI Architect

This repository contains a comprehensive, research-backed strategy document for governing and securing Agentic AI systems in large financial organizations.

📋 What's Included

  • —[Full Strategy Report](./Agentic_AI_Security_Governance_Strategy.md) — The complete dual-perspective framework

🎯 Who This Is For

RoleWhat You'll Find
CISOThreat models, 4-layer defense-in-depth security controls, regulatory compliance mapping (SEC/FINRA/OCC/EU AI Act), incident response framework, red team program
AI Architect / Principal Data Scientist5-layer governance control plane architecture, guardrail stack design, observability architecture, developer standards
CRO / Board Risk CommitteeRisk taxonomy, maturity model, KPIs, implementation roadmap
Vendor Management7-dimension vendor assessment framework, risk tiering, contractual requirements

📚 Research Foundation

Grounded in 25+ peer-reviewed papers (2024–2026), including:

FrameworkPaperLink
TRiSM for Agentic AITrust, Risk, Security Management for multi-agent systems2506.04133
MI9 Runtime Governance6-component runtime governance with Agency-Risk Index2508.03858
NVIDIA Safety FrameworkDynamic framework with 10K+ attack traces2511.21990
AgentDoG3D risk taxonomy + diagnostic guardrail models2601.18491
SAGA (NDSS 2026)Cryptographic security architecture for agents2504.21034
Lean-Agent ProtocolFormal verification for financial AI2604.01483
POLARISGoverned execution for financial back-office2601.11816

🏗️ Key Components

  1. 1.Comprehensive Threat Taxonomy — 4 risk classes, 20+ attack vectors specific to agentic AI in financial services
  2. 2.Defense-in-Depth Controls — 4 security layers mapped to financial regulations
  3. 3.5-Layer Governance Control Plane — From agent identity to lifecycle management
  4. 4.Maturity Model — 5 levels from Ad-Hoc to Optimizing
  5. 5.SaaS Vendor Assessment — 7-dimension checklist with 35+ criteria
  6. 6.18-Month Implementation Roadmap — Phased rollout with milestones
  7. 7.KPI Dashboards — For both CISO and AI Architect perspectives

⚠️ Key Statistics

  • —98% of IT professionals plan to expand AI agent usage, 96% view them as security threats
  • —75% of multi-tool agents vulnerable to cross-tool attacks
  • —80% of frontier models vulnerable to skill-file prompt injection
  • —Only 54% have full visibility into AI agent data access

📄 License

This document is provided for educational and strategic planning purposes. Please cite the underlying research papers when referencing specific frameworks or findings.