Cyber Security
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Mythos Shows Security Timelines Are Shrinking. Vendor Evaluation Has to Catch Up
The practical lesson from Mythos is more basic than the debate around the model: cybersecurity timelines are getting tighter. If…
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Where AI meets OT: Cybersecurity for a physical world
Manufacturers and industrial operators have clear commercial reasons for looking towards AI. Predictive analytics can boost uptime, machine learning can…
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The Future of AI Security Is Minimizing Data Exposure, Not Building Higher Walls
Every day, machine learning systems summarize clinical notes, evaluate financial risk, personalize customer experiences and optimize supply chains. Much of…
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The rise of sovereign clouds in Europe: Delivering sovereignty through access, infrastructure and security
While European tech sovereignty has been front of mind for the security-conscious even well before the CLOUD Act (2018), its urgency has been felt more broadly following reports that US…
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How to Maximize AI Execution in Cybersecurity – without Losing the Human Factor
By now, cyber defense teams have deployed artificial intelligence (AI) technologies for at least several years – to the point…
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Why The Most Effective Defence Against AI Is Still the Basics
The cyber threat landscape has changed beyond recognition due to AI, leaving organisations to face a new generation of highly evolved adversaries.…
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AI Won’t Save Cybersecurity. It Will Need to Break It First
For years, the cybersecurity industry has told itself a comforting story: if we can just detect more vulnerabilities, score them…
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