OWASP and Black Hat repeatedly focus on AI agents and LLMs as new security surfaces, from "Zero Trust" machine identity to prompt injection and the "noise vs. signal" failure mode in LLM threat modeling.
MCP Deception Incubator — Honeytraps as a Framework for Zero Trust AI Environments
Trust No One – Especially the Agents Building Zero Trust Through Machine Identity
Noise vs. Signal: The Central Paradox of LLMs in Threat Modeling
Universal and Context-Independent Triggers for Precise Control of LLM Outputs
From Logs to Defense: Building AI Enhanced XDR Pipelines for Application Level Threats
This finding is one of many signals tracked across Cyber Security. The live feed updates every few hours with new authority voices, debates, and emerging ideas.
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