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Beyond Marketing Jargon: A Technical Exploration of AI for Cybersecurity

In Chapter 5 of The Convergence of AI + Cybersecurity series, we explored the differences between real AI and marketing hype.

Points clés

Genuine AI in cybersecurity differs fundamentally from automation or rule-based systems, per ML experts and academics.

Human experts play a critical role in deploying AI effectively for cybersecurity, not just the technology itself.

Machine learning is applied specifically to detect email threats as a core cybersecurity use case.

Security leaders should ask vendors pointed questions to distinguish real AI capabilities from marketing claims.

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AI-powered. AI-based. AI-native.

The word “AI” is everywhere—including on every cybersecurity website you’ve seen in the last year. But what does that actually mean, and how can you tell the difference between real AI and marketing hype?

In Chapter 5 of The Convergence of AI + Cybersecurity series, we chatted with machine learning experts and academics who defined what qualifies as genuine AI in the context of cybersecurity and how it differs from mere automation or rule-based systems.

Watch this on-demand webinar to learn:

  • How machine learning is used to detect email threats

  • The role of human experts in deploying AI for cybersecurity

  • How to effectively utilize AI in cybersecurity for comprehensive protection

  • Questions you need to ask your vendors about their AI capabilities

Fill out the form to view the webinar.

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