In this episode of Inside Cybersecurity, Cylake founder and CEO Nir Zuk joins René Bonvanie to discuss one of the biggest misconceptions shaping cybersecurity today: the belief that AI itself is the solution.
While much of the industry is focused on AI agents, copilots, and automation, Zuk argues that the real challenge lies elsewhere. AI is only as effective as the data it can access, and most cybersecurity platforms were never designed to provide the complete visibility modern AI systems require.
The conversation explores the differences between machine learning and generative AI, why attackers and defenders are adopting AI in fundamentally different ways, and how fragmented data architectures continue to limit what security teams can accomplish. Zuk also explains why organizations chasing the latest AI capabilities may be overlooking a more foundational problem: incomplete data leads to incomplete security outcomes.
As AI becomes increasingly central to cybersecurity, the discussion shifts from what AI can do to what it needs in order to work.
Inside Cybersecurity is a series exploring the architectural shifts reshaping cybersecurity, AI infrastructure, security operations, and data governance for large enterprises and regulated institutions.
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