The Unseen Attack Surface
Why the most dangerous LLM-application vulnerabilities live in the model's interpretation of language—where no conventional scanner can follow.
Open the research indexField notes from the seam where code, intelligence, and narrative meet—written for practitioners, not for search engines.
Why the most dangerous LLM-application vulnerabilities live in the model's interpretation of language—where no conventional scanner can follow.
Open the research indexCapability should be examined, not inferred from presentation. Where we can prove something, we publish the method and the evidence. Where the field is still learning, we say so plainly.
Research is how the practice stays honest: every claim must survive contact with another capable mind.
Three publication streams connect original technical work, regulatory interpretation, and current threat context.
Original analysis and responsibly disclosed vulnerabilities, including why consequential AI-application weaknesses remain invisible to conventional scanners.
Browse the indexDefender-focused readings of DORA, NIS2, and the EU AI Act for institutions that must translate obligation into operating practice.
Browse the indexRecurring analysis of emerging threats at the frontier of artificial intelligence, written for practitioners rather than search engines.
Browse the indexEvery publication keeps the path from original signal to defensible conclusion visible.
Record the signal without forcing it into a familiar category.
Reproduce the behavior and separate evidence from interpretation.
Give the responsible owner time and context to act.
Share what materially improves the field.
The Briefing Hub keeps research, operational notes, and defender guidance in one legible publication system.
Visit the Briefing HubBrowse the research index or begin a confidential conversation about your environment.