Cybersecurity’s AI Paradox: Confident On Paper, Exposed In Practice
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Vendor networks and cloud environments are multiplying the ways sensitive data can be compromised, and it shows: third-party and supply chain exposure is now considered a material cybersecurity threat by 82% of firms – the highest of any risk category. If you don't have full visibility into where your data lives and who touches it, you're not alone – but that gap is becoming harder to defend to your board.
AI is forcing a rethink of what "prepared" even means. Almost half of firms expect AI to pose a significant cybersecurity risk by 2030, yet many are increasing their AI-monitoring technology spend far faster than they're investing in the people needed to govern it. The result is a widening gap between tools and judgment – precisely the kind of blind spot that turns a manageable incident into a major one.
Verdantix brings independent, data-driven clarity to a conversation full of noise. Drawing on original research spanning 25 countries, six regions and 10 industries, this webinar looks past the surface-level narratives to focus on what's actually changing: how leading firms are governing third-party risk, where AI genuinely raises exposure, and how to align cybersecurity strategy with the realities your organization faces today – not the ones from two years ago.
About the author

Mahum Khawar
Analyst
Mahum is an Analyst at Verdantix, specializing in AI integrations within risk management software and operational resilience. She advises technology buyers and software vendor...
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