What is behavior management for AI agents?

Behavior management for AI agents applies KnowBe4's human risk management principles to AI systems by shaping the environment in which agents operate—reducing ambiguity, adding context, and reinforcing correct actions—rather than attempting to retrain models or rely solely on built-in safety features.

How does KnowBe4 position AI agents in relation to workforce security?

KnowBe4 treats AI agents as part of a hybrid workforce working alongside humans, requiring the same type of behavioral governance and trust management that the company has applied to human employees for over 15 years.

KnowBe4: Managing AI Agent Risk with Behavior Management

Name: KnowBe4: Managing AI Agent Risk with Behavior Management
Uploaded: 2026-04-29T09:31:56-04:00
Duration: 1 min 47 s
Description: 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 manage...

KnowBe4

04/29/2026

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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."

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» Webinar Library » KnowBe4
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