Practitioner-grade analysis of offensive AI security. Prompt injection, model jailbreaks, agent and tool-use exploitation, AI red team techniques, and adversarial ML — distilled from primary sources, not press releases.
Vendor 'AI guardrails' detect 80% of textbook payloads and 30% of real ones. Here's how attackers actually bypass them — and what your detection layer is missing.
A Reddit offer to teach OSCP and CEH fundamentals for free surfaces a question every traditional pentester should answer: which of those skills transfer when the target is an LLM system?
A new framework cuts GPU memory for long-context adversarial attacks by up to 4x and runtime by up to 7x, making optimization-based prompt injection and knowledge corruption testing accessible outside hyperscaler infrastructure.
A new optimization-based red-teaming framework claims 2–7x speedup and 2–4x lower memory than nanoGCG against 32K-context LLMs, putting GCG-class attacks back inside the budget of academic and small-team red teams.
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