AI agents dominated every conversation at the RSA Conference 2026, but not for the reasons vendors hoped. Enterprise security teams are racing to deploy agentic AI systems while simultaneously admitting they have no idea how to govern them securely. The central tension emerged repeatedly across sessions: organizations want the productivity gains from AI agents, but they're deploying them faster than they can build the guardrails to contain potential damage.

This isn't just theoretical hand-wringing. Major cloud providers like Google and Microsoft are pushing enterprise customers toward agentic workflows while their own security teams are still figuring out basic questions like how to audit an agent's decision-making process or prevent privilege escalation when an agent gets compromised. The 'wild west' metaphor captures something real — we're seeing production deployments of systems that can autonomously make decisions and take actions, but without the security frameworks those capabilities demand.

What's particularly telling is that both attackers and defenders are grappling with the same fundamental problem. Security teams want agents to help detect and respond to threats, but those same capabilities make agents attractive targets for adversaries who could turn defensive tools into attack vectors. The conference revealed a industry-wide admission that we're building first and securing later — exactly the approach that created decades of security debt in traditional software.

For developers building with AI agents today, this should be a wake-up call. The enterprise customers you're targeting are desperate for agentic capabilities but increasingly nervous about security implications. Build with logging, auditability, and containment as core features, not afterthoughts. The teams that solve agentic security early will own this market.