Rav | Trust Architecture
Pattern recognition from 20+ years inside trillion-dollar banking systems. No hype. No vendor spin. Just what actually fails when regulators, auditors, and adversaries show up.
Background
Topics
What I write about
Four areas where institutional constraints produce failures that vendor demos and design reviews never catch.
40%
Trust Architecture Reality Checks
Where control assumptions pass design review but fail at regulatory and adversarial scale.
30%
AI Agents & Autonomous System Risk
Authorization boundaries, identity gaps, and audit failures specific to agentic deployments in regulated environments.
20%
Institutional Crypto Without Hype
On-chain settlement, stablecoin compliance, and cross-chain security through the lens of production failure patterns.
10%
Inside the Machine
What the institutional constraints actually look like from the inside, and why they matter for system design.
Research Series
AI Agent Failure & Control Gap Report
Quarterly institutional analysis. Not a checklist. Not a playbook. A map of where enterprise AI agent deployments fail the controls that financial institutions actually need.
AI Agent Failure and Control Gap Report — Issue #01
Analysis
Latest articles
AI Agents & Autonomous System Risk
Memory Poisoning: The Attack Vector Nobody's Modeling
Everyone focuses on prompt injection at the input layer. The real break is persistent memory that carries corrupted context across sessions, undetected by every control in the chain.
Trust Architecture Reality Checks
Spotlighting: The Trust Boundary Enforcement That Actually Works
Most enforcement models assume clean context at every step. The pattern that survives audit: narrow execution windows with explicit boundary checks before every privileged action.
AI Agents & Autonomous System Risk
When AI Agents Sign Transactions: The Authentication Gap Nobody's Solving
Traditional auth models verify identity at session start. Agents execute over extended chains. That gap between initial auth and transaction signing is where institutional liability lives.
Trust Architecture Reality Checks
AI Agents Are Privileged Interpreters: The New Trust Boundary Security Teams Keep Missing
Everyone focuses on what agents can access. The actual control surface is what they're allowed to interpret as permission, and that boundary doesn't exist in most enterprise deployments.
For CISOs, CTOs, security architects, and policy-aware engineers building AI agents and blockchain systems who need reality, not hype. Subscribe to see what most architecture reviews miss.