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Whitepaper

Mastering GenAI Red Teaming: Insights from the frontlines

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Mar 6, 2025

Relying on base-model guardrails is no longer enough to protect your brand from AI misuse and unwanted responses.

This report details a comprehensive red teaming framework designed to uncover and mitigate vulnerabilities before they are exploited.

  • Learn the core challenges of red teaming in the GenAI era.
  • Discover real-world attack strategies, from prompt injection to system leakage.
  • Implement a structured framework to improve model integrity and safety.

Overview

Since the rapid expansion of Generative AI, organizations have struggled to keep pace with the evolving threat landscape. While GenAI revolutionizes creativity and productivity, it also opens doors to novel vulnerabilities such as data poisoning, jailbreaking, and the generation of harmful synthetic media. Static security measures are often insufficient for these dynamic systems, which can fail in ways that traditional software does not.

In this updated report, we draw on Alice's deep threat expertise to provide a proactive roadmap for AI safety.

We move beyond theoretical risks to showcase real-life scenarios where LLMs have been manipulated and offer a comprehensive framework for adversarial testing.

By simulating real-world usage and sophisticated attacks, teams can identify critical gaps in precision and reliability.

This overview provides the workflows and case studies necessary to transition from one-off testing to a continuous safety program, ensuring your AI applications remain secure, compliant, and trusted by users

What’s New from Alice

It Takes AI to Break AI: The Case for AI Red Teaming

webinar
May 25, 2026
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May 25, 2026
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 min read
May 25, 2026

As AI systems gain autonomy, organizations need security approaches built specifically for AI behavior. Learn why AI-driven red teaming is becoming a critical defense layer.

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