AI Risk Quadrant for Agent Security – AIRQ Report 2026

This report by Adversa AI introduces the AI Risk Quadrant (AIRQ) Framework, a quantitative security framework for evaluating AI agents across 10 enterprise archetypes (e.g., coding, browser, workflow, business process agents). Based on scoring 100 agents on Attack Surface, Blast Radius, and Defense Controls, the findings reveal that: only 11 percent of agents are both capable and well-defended (Fortified Leaders); 40 percent of agents fall into Exposed Giants (high capability, weak defenses); the lethal trifecta (private data access plus untrusted input plus outbound action) is nearly universal, meaning one hostile document can compromise most agents; 83 percent of claimed defenses lack public verification; and tool execution without sandboxing explains 76 percent of blast radius variance. The report provides quadrant visualizations, class-by-class security deep-dives, and strategic advice including requiring execution isolation as a procurement gate, tightening identity and egress controls, and triaging risk by architecture rather than agent class. 

https://airq.adversa.ai/report

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