From Exploits to Armor: Red Teaming, Guardrails, and the New Playbook for AI Security
As AI applications move from pilot to production, enterprises face a new and rapidly evolving threat surface, one that most security teams weren’t built to defend. Adversaries are already probing AI models for prompt injection, data poisoning, and guardrail bypass, while many organizations are deploying AI without the visibility, controls, or red team capability needed to understand their true exposure.
To address this, leading organizations are rethinking how security is embedded into AI from the outset, prioritizing visibility into model behavior, implementing stronger governance and control
frameworks, and developing dedicated red teaming and testing strategies for AI systems. The focus is shifting toward operationalizing AI security, ensuring teams can proactively identify vulnerabilities, respond to emerging threats, and build resilience as AI adoption scales.
Join F5 and a select group of your industry peers as we cut through the noise, explore what real-world AI attacks look like, where enterprise defenses are falling short, and what it takes to operationalize AI security before a breach forces the conversation.
Donnchadh Casey
Discussion Topics
Emerging AI Threat Vectors: Understanding real-world attacks like prompt injection, data poisoning, and guardrail bypass and where models are most vulnerable
Visibility & Control Gaps: Why current security frameworks fall short for AI, and how lack of monitoring, governance, and red teaming creates hidden exposure
Operationalizing AI Security: Moving from reactive to proactive embedding testing, controls, and cross-functional accountability into AI deployments at scale
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