Prompt Injection & Red Teaming: How to Attack Your Own AI Before Someone Else Does
Your AI agents can already send email, approve invoices, and touch production systems. The question is not whether they can be manipulated. It is whether you find out before an attacker does.
Watch On Demand – Prompt Injection & Red Teaming: How to Attack Your Own AI Before Someone Else Does
A single unopened email compromised Microsoft 365 Copilot with zero user interaction. A social platform’s agents leaked 1.5 million API keys and 37,000 user emails through nothing more than a missing permission check. These are not hypotheticals. They happened in the last six months, and the techniques behind them are already being used against agents like yours.
This session breaks down how prompt injection attacks actually work, what a real attack chain looks like from the inside, and how red teaming gives you the ability to find these gaps before a malicious actor does.
Key Takeaways:
- Prompt injection is not just a text problem anymore. Instructions can be hidden in images, PDFs, emails, and pull requests. Anything your agent reads is a potential attack surface.
- Connected tools multiply the risk. An agent that can send email or query a CRM is only as safe as its weakest permission. 97 percent of breached AI systems lacked basic access controls.
- Single-turn testing is not enough. Attackers manipulate agents gradually, over dozens of conversational turns. Your red teaming has to test for that, not just check the first response.
- Red teaming is now a compliance requirement, not a best practice. The EU AI Act and frameworks like DORA expect documented, ongoing testing, not an annual checkbox.
Watch on demand and get a practical framework for testing, enforcing, and continuously red teaming your AI agents before they ship.