Research
The public record of agent security.
Standards crosswalks, analyzed incidents, and comparative efficacy data — open and citable. Public: the population and the standards. Private: your specific agent.
Reading AIUC-1 like an auditor: the evidence a risk committee asks for
A walkthrough of the controls that matter for autonomous agents, the B-codes they map to, and what counts as defensible proof.
By PharosOne Research · Jun 18, 2026 · 9 min
AIUC-1: the SOC 2 for AI agents
The world's first standard for AI agents, and how PharosOne turns its controls into evidence.
By PharosOne Research · Jun 26, 2026 · 4 min
ISO/IEC 42001: a management system for AI
The world's first AI management system standard, and the evidence that grounds it.
By PharosOne Research · Jun 25, 2026 · 3 min
The EU AI Act: from legal obligation to evidence
The first comprehensive AI regulation, translated into testable evidence.
By PharosOne Research · Jun 24, 2026 · 4 min
NIST AI RMF: governing risk, measuring trust
A voluntary framework for trustworthy AI, and where measurement fits.
By PharosOne Research · Jun 23, 2026 · 3 min
OWASP Agentic Top 10: the threats we test for
The reference list of agentic AI risks — and the taxonomy our corpus is built against.
By PharosOne Research · Jun 22, 2026 · 3 min
Public data can’t answer for your agent.
Generic results describe the population. To know how your actual deployment holds up, run the corpus against it.