The 7 Deadly Sins of AI Agent Adoption

By 2026, 74% of organizations expect to have more than 100 AI agents in production. At the same time, nearly half of enterprises operate multiple agentic platforms in parallel.

AI agents are rapidly spreading across the enterprise, reading emails, invoking APIs, updating records, and making autonomous decisions. Agents also introduce new risks in that they:

• Inherit permissions with no hard runtime boundaries
• Sprawl across SaaS and cloud platforms, creating shadow AI
• Rely on blind trust in internal data
• Call third-party tools and carry agentic supply chain risk
• Offer little to no observability into behavior

This eBook breaks down the seven most dangerous mistakes organizations make when deploying AI agents, and outlines the security mindset required to govern them safely.

Download the eBook to Learn:

• Why traditional security models fail for AI agents
• How to move from advisory guardrails to runtime enforcement
• How to prevent shadow agent sprawl
• Why observability is foundational to AI governance
• What secure-by-design AI agent adoption looks like

👉 Download the eBook Now