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
Curiouser Soundbites: What a Former Google Cloud CISO Wants Leaders to Know About AI
Everyone's watching the flood of new AI vulnerabilities. Former Google Cloud CISO Phil Venables is watching something else, and it's the shift leaders can't afford to miss.
The Former Google Cloud CISO's Take on AI, Agents, and What Comes Next
There's a lot of noise around AI and security right now, and not many people who can cut through it the way Phil Venables can. He was CISO at Goldman Sachs, then the first CISO for Google Cloud, and he's now a partner at Ballistic Ventures. In this episode, he tells us why attackers scaling up worries him more than the vulnerabilities themselves, what trust even means when an agent is acting in your environment, and why the answer to most of this comes back to the same fundamentals we've leaned on for years.
It Takes AI to Break AI: The Case for AI Red Teaming
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.
Demystifying AI Red Teaming
Your AI passed every check. That doesn't mean it's safe. Learn how to red team AI systems before adversaries find the gaps you missed.
