Your agents passed every test you wrote for them. That means the tests you wrote were the problem.
Red-teaming is the discipline of finding failure modes before production does — by thinking like an attacker rather than a builder, constructing inputs designed to break rather than pass, and building a systematic record of how agents fail rather than assuming they won't. This book teaches that discipline to Claude Code operators running real multi-agent systems.
Seven chapters, seven artifacts. Chapter 1 establishes the red-team mindset: the shift from building to breaking, and why the person who built the agent is usually the worst person to test it. Chapter 2 builds a failure taxonomy — a working classification system for agent failure modes that makes testing systematic rather than random. Chapter 3 constructs adversarial inputs: parameterized prompts designed to surface specific failure categories. Chapter 4 runs boundary tests: repeatable probes at the edges of what agents can do, where degradation appears before outright failure. Chapter 5 measures instruction drift — whether an agent stays on task across an extended interaction, and how to detect the moment it stops. Chapter 6 tests prompt injection: what happens when hostile content enters the pipeline through data the agent processes, and how to probe resistance without assuming it exists. Chapter 7 automates the entire suite into a red-team pipeline that runs without manual execution and logs results for comparison across sessions.
By the last chapter you have a red-team harness that finds failure modes on demand. Production surprises come from failure modes nobody looked for. This book gives you the method for looking.
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Paperback. Condition: new. Paperback. Your agents passed every test you wrote for them. That means the tests you wrote were the problem. Red-teaming is the discipline of finding failure modes before production does - by thinking like an attacker rather than a builder, constructing inputs designed to break rather than pass, and building a systematic record of how agents fail rather than assuming they won't. This book teaches that discipline to Claude Code operators running real multi-agent systems. Seven chapters, seven artifacts. Chapter 1 establishes the red-team mindset: the shift from building to breaking, and why the person who built the agent is usually the worst person to test it. Chapter 2 builds a failure taxonomy - a working classification system for agent failure modes that makes testing systematic rather than random. Chapter 3 constructs adversarial inputs: parameterized prompts designed to surface specific failure categories. Chapter 4 runs boundary tests: repeatable probes at the edges of what agents can do, where degradation appears before outright failure. Chapter 5 measures instruction drift - whether an agent stays on task across an extended interaction, and how to detect the moment it stops. Chapter 6 tests prompt injection: what happens when hostile content enters the pipeline through data the agent processes, and how to probe resistance without assuming it exists. Chapter 7 automates the entire suite into a red-team pipeline that runs without manual execution and logs results for comparison across sessions. By the last chapter you have a red-team harness that finds failure modes on demand. Production surprises come from failure modes nobody looked for. This book gives you the method for looking. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798181802599
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Taschenbuch. Condition: Neu. Neuware - Your agents passed every test you wrote for them. That means the tests you wrote were the problem. Red-teaming is the discipline of finding failure modes before production does - by thinking like an attacker rather than a builder, constructing inputs designed to break rather than pass, and building a systematic record of how agents fail rather than assuming they won't. This book teaches that discipline to Claude Code operators running real multi-agent systems. Seven chapters, seven artifacts. Chapter 1 establishes the red-team mindset: the shift from building to breaking, and why the person who built the agent is usually the worst person to test it. Chapter 2 builds a failure taxonomy - a working classification system for agent failure modes that makes testing systematic rather than random. Chapter 3 constructs adversarial inputs: parameterized prompts designed to surface specific failure categories. Chapter 4 runs boundary tests: repeatable probes at the edges of what agents can do, where degradation appears before outright failure. Chapter 5 measures instruction drift - whether an agent stays on task across an extended interaction, and how to detect the moment it stops. Chapter 6 tests prompt injection: what happens when hostile content enters the pipeline through data the agent processes, and how to probe resistance without assuming it exists. Chapter 7 automates the entire suite into a red-team pipeline that runs without manual execution and logs results for comparison across sessions. By the last chapter you have a red-team harness that finds failure modes on demand. Production surprises come from failure modes nobody looked for. This book gives you the method for looking. Seller Inventory # 9798181802599
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