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Advanced AI Red Team Techniques – Day 41 of 90 · 45.6% complete
⚠️ Authorised Targets Only: Multi-technique attack chains can produce cascading effects across connected systems. Always test against isolated staging environments and ensure your engagement scope explicitly covers every technique in the chain before executing.
Let me tell you about one of the most interesting findings I’ve ever put into a security report. The actual exploitation took me eleven minutes. The report took almost four hours to write. I was doing a three-day assessment of an enterprise AI platform with a RAG pipeline, an agent with tool access, and a public-facing API. During the first two days, I had found several individual issues: a Medium-severity prompt injection, a High-severity partial extraction issue, and a Medium fingerprinting finding. None of them, by themselves, looked like the finding that would define the engagement.
On day three, I stopped looking at those findings individually and asked myself a different question: what happens if I connect them? The fingerprinting result had identified the model variant and confirmed a specific version of LangChain associated with a known chain-injection pattern. The partial extraction had revealed enough of the system-prompt structure for me to understand that a database connection string was somewhere inside it. Then there was the agent’s file-write tool. I’d tested it directly and hadn’t found anything interesting, so it looked clean. Individually, I had a Medium, a High, and a clean tool. Together, they told a very different story.
I used the information from the fingerprinting result to work with the injection pattern, which allowed me to complete the extraction. The completed extraction exposed the database connection string. I then used that information in a controlled injection against the file-write functionality and confirmed that the agent could write to an internal directory. Eleven minutes. A Critical finding. And here’s the part I want you to remember: the chain was already sitting in my findings. I hadn’t discovered some completely new vulnerability on day three. I had simply stopped treating each finding as an isolated problem and started looking at what one finding enabled in the next.
That’s the mindset we’re going to build in Day 41. When I red-team an AI system, I’m not just asking whether a prompt injection works, whether data can be extracted, or whether an agent has a dangerous tool. I’m asking how those weaknesses interact. A vulnerability that looks Medium on its own can become Critical when it provides exactly what another weakness needs. Full-scope AI exploitation isn’t always about finding harder vulnerabilities. It’s about seeing the vulnerabilities you already have as a map, connecting the paths, and understanding where the complete attack chain can lead.
🎯 What You’ll Master in Day 41
Map multiple individual findings into a chain opportunity graph
Identify the pivot points where one technique’s output enables the next
Build and test the three highest-value AI attack chain archetypes
Execute a full recon-to-exfiltration chain against a test deployment
Document multi-technique chains with per-step evidence that holds up in reports
Calculate chain-adjusted CVSS scores that reflect the combined impact
⏱️ Day 41 · 3 exercises · Think Like Hacker + Kali Terminal + Kali Terminal ### ✅ Prerequisites - Day 27 — AI Red Team Operations — the engagement methodology that Day 41 chains build within; the phased attack plan is where chains get discovered - Days 16–24 — the individual techniques that Day 41 combines; Day 41 assumes familiarity with each technique before chaining them - Python with all previous course tools installed — Exercise 2 builds the chain executor that runs multi-step attacks in sequence ### 📋 Advanced AI Red Team Techniques — Day 41 Contents 1. Chain Thinking — From Individual Findings to Exploitation Paths 2. The Three High-Value Chain Archetypes 3. Identifying Pivot Points Between Techniques 4. Chain Execution Methodology 5. Reporting Multi-Technique Chains 6. Chain-Adjusted CVSS Scoring In Day 40 you built the incident response playbooks for when chains like these are used against your clients’ deployments. Day 41 covers constructing them offensively. Day 42 covers AI-enabled social engineering — how AI amplifies traditional social engineering attacks and the new attack surfaces that AI assistants introduce.
Chain Thinking — From Individual Findings to Exploitation Paths
Here’s how I want you to start looking at your findings once you’ve finished the initial discovery phase. Don’t treat them as a list. Treat them as pieces of a possible attack path. Every finding has something an attacker needs before it can work, and every successful finding gives the attacker something in return. I call these the finding’s inputs and outputs. Once the output from one finding gives you the input needed for another, you’ve found a connection. Follow enough of those connections and your list of individual vulnerabilities turns into an attack chain.
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