Daylight secures $33 M for agentic MDR, ChatGPT vulnerabilities uncovered, CrowdStrike-CoreWeave strengthen AI cloud defense, Google forecasts AI-driven cybercrime, and DeepKeep recognized as a top AI-security innovator.
LLM Security
Adversarial Evaluation & AI Red Teaming Pipelines — Operational Playbook for Defense
Adversarial evaluation turns AI risks into automated tests that run in CI/CD and block unsafe releases. This playbook shows how to design threat-led evals, wire them into pipelines, and align with NIST, OWASP, MITRE ATLAS, and SAIF.
Model Extraction & API Abuse — Operational Playbook for Defense
Attackers can clone ML models or extract memorized data through API queries. This playbook details mechanisms, real-world research, and defenses such as output minimization, DP, and active monitoring.
AI-Driven Insider Recon — When Employees Use AI to Map and Exploit Their Own Organizations
Overview Insider threats have always been one of the hardest problems in cybersecurity. Now, with AI at their fingertips, malicious or careless insiders can conduct reconnaissance on their own organizations with unprecedented speed and sophistication. By combining privileged access with… Read More ›
LLM Red Teaming Tactics: Prompt Injection Reconnaissance & Evasion Techniques
Date: July 23, 2025Author: AI Defense LeagueCategory: Red Teaming | Penetration Testing | LLM Security Overview This post is the first in a new blog series focused on penetration testing and red teaming techniques for Large Language Models (LLMs). Today’s… Read More ›