What to expect during KB4-CON: Join theCUBE May 14
Summary
The upcoming KB4-CON event, hosted by KnowBe4 and covered by theCUBE on May 14, 2026, will focus on advancing human risk management in the era of AI. This shift moves beyond traditional employee awareness programs to operational control, integrating people, AI agents, and automated decisions within enterprise workflows. Analysts Scott Hebner and Krista Case from theCUBE Research highlight that the future of enterprise AI adoption hinges on the ability to trust, govern, and secure interactions between humans and AI at scale. The event will explore how KnowBe4 utilizes AI-driven training, behavioral analytics, and phishing simulation to transform employees from potential vulnerabilities into active security assets, addressing the new layer of risk exposed by AI's embedding in daily operations.
Key takeaway
For CTOs and VPs of Engineering evaluating AI integration strategies, recognize that scaling AI safely depends on your organization's ability to verify, govern, and secure human-AI interactions. Prioritize investments in human risk management solutions that offer AI-driven training and behavioral analytics to build trust and transform your workforce into a proactive security layer, rather than merely focusing on AI agent deployment.
Key insights
Effective AI adoption requires robust human risk management to build trust and secure human-agent interactions.
Principles
- Trust is the currency of AI adoption.
- Human risk management is a measurable discipline.
- Security must evolve beyond awareness to operational control.
Method
KnowBe4 advances human risk management through AI-driven training, behavioral analytics, and phishing simulation to enhance security across distributed, compliance-driven environments.
In practice
- Implement AI-driven training for employees.
- Utilize behavioral analytics for risk assessment.
- Conduct regular phishing simulations.
Topics
- KB4-CON
- Human Risk Management
- AI-driven Security
- KnowBe4
- Behavioral Analytics
Best for: CTO, VP of Engineering/Data, Executive, AI Security Engineer, Director of AI/ML, Security Engineer
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Editorial summary, takeaway, and curation by AIssential. Original article published by AI – SiliconANGLE.