When Hidden Flaws Surface: Securing AI at Runtime

Generative AI is transforming how businesses innovate — but it also opens the door to risks that only surface once systems go live. Even rigorously trained models can harbor hidden flaws that attackers exploit through prompt injection, jailbreaks, tool misuse or data exfiltration. These aren’t rare edge cases — organizations have already suffered financial loss, compliance penalties and reputational damage from AI failures.

In this webinar, we’ll show why static testing and traditional tools can’t keep pace with adaptive AI systems. You’ll learn:

• How vulnerabilities emerge when chatbots and agents interact with real users.
• Real-world cases where runtime attacks disrupted operations and eroded trust.
• Why legacy security methods fail to block AI-specific threats.
• A practical framework for runtime protection using inspection, monitoring and adaptive defenses.
• How Prisma AIRS™ Runtime Security delivers broad detection and low-latency safeguards without slowing innovation.

Join us to see how runtime protection transforms AI from an unpredictable risk into a trusted, resilient business enabler.

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