From Vulnerability Discovery to Verified Exploitability
A practical model for separating exposure signals from evidence that a weakness can produce a meaningful security outcome.
- Validation
- Evidence
- Risk prioritization
Technical blog
Evidence-led notes on agentic AI security, autonomous penetration testing, vulnerability validation, and the operating controls that make autonomy accountable.
Published elsewhere
This page distinguishes published work from research directions that are still being developed.
A public analysis of risks created when AI agents invoke tools and connect to sensitive systems.
Editorial roadmap
These briefs come from the Public Technical Contribution and Independent Validation workstream. They will become articles only after source validation, confidentiality review, technical review, and author approval.
A practical model for separating exposure signals from evidence that a weakness can produce a meaningful security outcome.
How scope, authorization, intervention, and auditability can be treated as system properties rather than operator reminders.
An evaluation approach centered on reproducible evidence, useful findings, operational safety, and transparent limitations.
Publication standard
Articles on this site will identify their sources, distinguish fact from inference, state important limitations, and preserve revision dates. Company-reported results will be labeled as such.
No Ridge proprietary architecture, customer information, internal metrics, roadmap, source code, or non-public exploit details will be published.