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KnowBe4: Managing AI Agent Risk with Behavior Management

KnowBe4
04/29/2026
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critical workflows. But there's a problem no one's really talking about. AI isn't always safe. AI agents engage with your customers, answer questions, draft policies, and influence decisions with speed and confidence, but no real understanding of your company's rules, culture, or risk. And just like people, they fail in predictable ways. Humans get socially engineered, AI agents get prompt engineered. Humans guess when context is missing, AI agents hallucinate. You can't retrain these models. You can't see their hidden prompts. You can't rely on built-in safety alone. So how do you make AI behave the way your organization expects? You do what actually works. Similar to humans, you shape behavior by shaping the environment. For more than 15 years, KnowBe4 has been world-class at managing human risk, not by dumping information on them, but by reducing ambiguity, adding context, and reinforcing the right actions at the right moment. Now we apply those same principles to AI agents. This is behavior management for AI agents, a new security and trust layer for the hybrid workforce, ensuring they work as you intended. Behavior is shaped from inside and outside forces. As humans and AI work side by side, trust becomes the real challenge. At KnowBe4, we train humans and agents. KnowBe4. Human Risk Management and Workforce Trust.

TL;DR

  • AI agents deployed in critical workflows pose predictable risks similar to humans: they can be prompt engineered like humans are socially engineered, and they hallucinate when context is missing.
  • KnowBe4 is extending its 15-year human risk management methodology to AI agents through "behavior management," focusing on shaping the environment rather than retraining models or relying solely on built-in safety.
  • The company is rebranding from pure human risk management to "Human Risk Management and Workforce Trust," positioning AI agents as part of a hybrid workforce requiring behavioral governance alongside humans.

Summary

This promotional video introduces KnowBe4's expansion into AI agent risk management, positioning the company beyond its traditional security awareness training roots. The core argument draws a parallel between human and AI vulnerabilities: just as humans fall victim to social engineering, AI agents are susceptible to prompt engineering and hallucination when context is missing. KnowBe4 frames its solution as applying proven human risk management principles—reducing ambiguity, adding context, and reinforcing correct behaviors—to AI agents operating within enterprise workflows. The company introduces "behavior management for AI agents" as a new security layer for what it calls the "hybrid workforce," where humans and AI work side by side. This represents a strategic pivot from pure human risk management to what KnowBe4 now brands as "Human Risk Management and Workforce Trust," explicitly positioning AI agents as part of the workforce requiring behavioral governance. The video targets organizations deploying AI agents in customer-facing and decision-making roles who need assurance that these systems will operate within organizational policies and cultural norms.

Chapters

0:00 - The AI Risk Problem
0:29 - Human-AI Failure Parallels
0:56 - KnowBe4's Behavioral Approach
1:26 - Hybrid Workforce Trust

Key Quotes

0:33 "Humans get socially engineered, AI agents get prompt engineered."
0:43 "You can't retrain these models. You can't see their hidden prompts. You can't rely on built-in safety alone."
1:17 "This is behavior management for AI agents, a new security and trust layer for the hybrid workforce, ensuring they work as you intended."

Categories:
  • » Webinar Library » KnowBe4
  • » Data Protection
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Tags:
  • AI & Machine Learning
  • Security Operations
  • Threat Intelligence
  • Executive Briefing
  • Announcement
  • AI agent security
  • prompt engineering attacks
  • AI hallucination risks
  • behavioral risk management
  • hybrid workforce governance
  • security awareness training evolution
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