Webinars / Webinars / Red Teaming AI systems: How to break your AI (before attackers do)
Red Teaming AI systems: How to break your AI (before attackers do)
Offensive security techniques for testing and hardening AI models and agents.
Presented by Hack The Box
Overview
This technically-focused webinar dives into red teaming AI models and agents – i.e. stress-testing AI systems to uncover vulnerabilities. We will discuss methods used to jailbreak large language models, induce prompt injections, exploit tool integrations, and chain exploits that force AI agents off their intended path.
Real examples (like how researchers tricked GPT-4 into revealing secrets or behaving maliciously) will illustrate the stakes. Attendees will learn a structured approach to adversarially testing AI: from crafting malicious prompts and inputs, to probing for model blind spots and safety bypasses. We will also cover how findings from AI red team exercises lead to more robust models (via fine-tuning and safety patches).
In short, this session shows why breaking your AI is the best way to fix it – and how Hack The Box platforms provide a safe sandbox to do exactly that.
Key Takeaways:
- Learn hands-on techniques for attacking AI systems (LLMs and autonomous agents) – including prompt injection attacks, data poisoning basics, and other emergent exploit vectors unique to AI.
- Understand the common failure modes and security gaps in today’s AI to pre-empt attackers by discovering these issues first.
- Take away a summarized AI Red Teaming playbook – actionable steps to start assessing the AI models or assistants in your own organization for weaknesses.
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