Overview Phishing is no longer just a poorly written email from a fake prince. Today, attackers are using large language models to generate highly persuasive, well-written, and personalized phishing messages — at scale. This new wave of AI-assisted phishing is… Read More ›
Overview Training data is the foundation of every AI system — but what happens when that data is subtly, strategically poisoned? Data poisoning is the act of injecting malicious, biased, or misleading data into a model’s training set, with the… Read More ›
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 ›
Overview Phishing has evolved from misspelled scams to socially engineered masterpieces, thanks to large language models (LLMs). Modern threat actors now use AI to generate hyper-personalized, convincing phishing messages in seconds — at a scale and quality previously impossible. With… Read More ›
Overview Reconnaissance is the first phase of nearly every cyberattack — gathering information about systems, users, and infrastructure. Traditionally, this required a human attacker. But now, AI agents can automate and accelerate reconnaissance at scale, with alarming precision. Autonomous reconnaissance… Read More ›
Overview Prompt injection attacks are no longer limited to chat windows. As AI becomes embedded into **complex systems — through plugins, APIs, extensions, and automation layers — prompt injection becomes a *supply chain threat*. Attackers can now manipulate AI behavior… Read More ›
Overview AI systems thrive on data — and much of that data comes from open, publicly available datasets. Whether for training large language models, computer vision systems, or recommendation engines, these datasets are often the backbone of modern machine learning… Read More ›
Overview We often think of adversarial attacks targeting images or text, but audio models — including voice assistants, speech recognition systems, and audio classifiers — are just as vulnerable. Adversarial audio attacks exploit small, often imperceptible changes in sound to… Read More ›
Overview As synthetic media floods the internet, researchers and companies have turned to AI watermarks — invisible digital signatures embedded into AI-generated content — as a way to trace and verify authenticity. But just like DRM, these defenses are already… Read More ›
Overview AI is not just a tool for defenders — it’s now a weapon in the hands of attackers. With the rise of large language models (LLMs), adversaries can now generate functional malware, obfuscated code, and exploit payloads at a… Read More ›