Red Team and AI Security: A New Frontier in Cyber Defense pt2

Hello again, fellow squirrels. Today, we’re cracking open Part 2 of our nutshell on Red Team and AI Security!

Let’s recap what we talked about in Part 1 of this nutshell. We covered what red teaming is and why AI security is different from traditional security, especially with its unpredictable behavior, unique models, and the difficulty of identifying vulnerabilities through code alone.

How Does Red Teaming Apply to AI?

Red teaming for AI security is important because you can’t find all vulnerabilities just by looking at code. You need to actively test the system and push it to expose its weaknesses.

AI red teaming focuses on the behavior of the model rather than just its code. Testers look at how the model can be influenced, tricked, or misled. They also look for vulnerabilities caused by training data, context, and user interaction.

Red teams simulate real-world attacks by using creative and unexpected inputs to see how the AI responds.

Without this type of testing, your AI could give away all your acorns just because a chipmunk claimed to be the boss and needed them.

What Attacks and Tests Do Red Teams Use?

1. Jailbreaks
   These attacks attempt to get the AI to ignore its safety rules. They often use tricky phrasing, emotional manipulation, role-playing, or multi-step conversations.
2. Prompt Injection
   These attacks insert hidden or malicious instructions into the AI’s input. They can come from user messages, documents, websites, or data the AI is summarizing.
3. Data Leakage
   This type of testing checks if the AI reveals private data, internal prompts, or training examples—which could be dangerous if exposed.
4. Harmful Content Testing
   This checks whether the AI produces unsafe outputs like violence, hate speech, illegal advice, or other harmful material.
5. Bias Testing
   This tests whether the AI treats certain groups or topics unfairly due to its training data.
6. Multi‑Turn Attacks
   These attacks work over multiple messages or through slow context buildup.
   These are especially dangerous because they can bypass protections over time rather than all at once, making them harder to detect and fix.

That’s all for today’s cyber-stuffed nutshell! So, remember in this digital forest, we the squirrels need to stay alert and protect our stash, while chipmunks try to sneak in and swipe it when we are not looking.

PART 1 – Red Team and AI Security: A New Frontier in Cyber Defense pt1 – Code Squirrel, Cyber Security in a Nutshell

Cool thing to look at:

What Is AI Red Teaming? How It Works & Key Techniques | F5

LLM01:2025 Prompt Injection – OWASP Gen AI Security Project

AI red teaming: Tools, frameworks, and attack strategies explained