The End of Predictive Security: How CISOs Can Secure GenAI Without Burning Out
AI adoption is accelerating rapidly across enterprises, but traditional security controls simply haven’t kept pace. With new AI models, browser extensions, and embedded assistants appearing almost weekly, security teams are suffering from “predictive fatigue”—the impossible task of evaluating, approving, and governing every new capability before it puts the organization at risk. Designing security around fixed architectures or static policies is no longer an effective strategy.
In this webinar, “The End of Predictive Security: How CISOs Can Secure GenAI Without Burning Out,” industry experts Mark Aklian and Dedi Shindler reveal how organizations can stop chasing every new threat and instead build a “future-proof” security stack. Instead of blocking AI and stifling innovation, discover how to embrace “architectural resilience” to protect your users, data, and sessions no matter how the AI landscape evolves.
Watch this webinar to learn how to:
- Take actionable next steps by conducting immediate risk assessments and deploying advanced visibility tools to uncover exactly what AI tools are operating on your network before enforcing strict policies.
- Identify critical GenAI blind spots, including the rise of “Shadow AI,” the inadvertent exposure of sensitive data through prompts, and the emerging compliance risks of automated, non-human agentic systems.
- Escape “predictive fatigue” by shifting away from static configurations and embracing a dynamic security mindset that adapts as fast as AI evolves.
- Ensure automatic adaptability so your security infrastructure can secure new AI workflows and browsers without requiring constant manual reconfigurations, redeployments, or tearing apart your existing stack.
- Expand your security coverage beyond specific device types, ensuring protection follows the user’s session across desktop applications, web interfaces, and unmanaged BYOD environments.
- Centralize governance without adding friction, maintaining a single control plane for full visibility into AI prompts and data movement while keeping the user experience completely transparent.
- Navigate GenAI in heavily regulated industries like finance, utilizing strict access controls to safely build AI “second brains” without leaking confidential performance data or proprietary IP.
- Effectively communicate with the board by translating AI security risks into calculated financial, regulatory, and reputational impacts to justify crucial architectural investments.
