As AI moves into production, the question shifts from “can we build it?” to “can we trust it?” AI Red Teaming helps security teams proactively uncover safety and security failure modes before attackers do. Standard testing can miss the ways real users, adversaries, and connected systems interact with AI applications and agents.
This session, in collaboration with the CheckMates AI Security Masters, walks through how adversarial testing works against real AI systems: scoping the environment, simulating real-world attack and misuse scenarios, surfacing vulnerabilities, and building a continuous red teaming workflow as your AI evolves.
What You’ll Learn - How AI Red Teaming differs from traditional application testing
- How to scope AI applications and agents for adversarial testing
- What kinds of AI-specific failure modes standard testing can miss
- How security teams can turn red teaming findings into practical remediation workflows
