How CISOs Are Rethinking Securing Enterprise AI

In this fireside chat, we break down the real AI security challenges enterprises are facing today—and why CISOs are rapidly shifting from an AI compliance mindset to a full AI security posture.

As AI adoption accelerates, organizations are moving beyond experimentation into production-scale AI agents, chatbots, and autonomous workflows. With real money, customer data, and business operations on the line, attackers are already preparing to exploit the expanding AI attack surface.

In this conversation, leaders from WitnessAI and the cybersecurity ecosystem share what they’re hearing directly from enterprise CISOs, CIOs, and boards:

Why 2024 was about “What do we do with AI?”
Why 2025 became compliance-first
And why 2026 will be defined by AI attacks in production

We explore why agentic AI introduces fundamentally new security risks, including:

Expanded permissions and autonomous actions
Prompt injection and model poisoning
Human-facing chatbot attacks
Agent-to-agent and API-based attack vectors
Emerging risks around Model Context Protocols (MCP)

The discussion also covers the growing cost of AI defense, GPU constraints, and why AI security must evolve beyond point solutions into a unified confidence layer—one that enables safe AI usage instead of blocking innovation.

Most importantly, this episode reframes AI security as a business enabler, not a roadblock. Enterprises that invest in AI observability, guardrails, and runtime protection can move faster—while those that rely on blanket bans risk falling behind.

🔗 Learn more about securing AI agents and applications: https://witness.ai