Two weeks ago on Reimagining Cyber, we explored how agentic AI could become the next major security choke point. Since then, things have escalated.

Enterprises are restricting — even banning — AI agents. Security teams are scrambling to regain visibility. Vendors are rushing out “agent security” features. And early warning signs are already surfacing.

In this episode, Tyler Moffitt answers the critical question: Did agentic AI just move from innovation to crisis?

What changed in just a matter of weeks?

This discussion breaks down:

• Why AI agents are fundamentally different from traditional automation and service accounts
• How autonomous reasoning + persistent system access creates a new attack paradigm
• The identity and API sprawl problem most organizations didn’t realize they had
• Why compromised agents could give attackers automation at scale
• The growing wave of enterprise bans — and what they signal
• Whether regulation or a high-profile incident is likely to come first

Tyler explains how agents don’t just generate responses — they take action. They hold API keys, access internal systems, modify code repositories, interact with cloud infrastructure, and execute workflows. When deployed without guardrails, logging, or least-privilege controls, they can quietly multiply an organization’s attack surface overnight.

The core issue isn’t that AI is malicious — it’s that AI has become an acceleration layer. And when autonomy meets overprivileged access, traditional security models break.

You’ll also hear practical, immediate steps security teams should be taking now — from credential rotation and agent inventories to sandboxing and behavioral monitoring.

This isn’t an anti-AI episode. It’s a maturity wake-up call.

Because the organizations that build guardrails now will move faster and safer. The ones that don’t may learn the hard way.

If you’re a CISO, security architect, developer experimenting with agents in production, or executive evaluating AI adoption — this is a conversation you can’t afford to miss.

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