Podcasts, Articles, News and Insights From Enterprise Technology Leaders
How AI and Visualisation Make Security Investigations Explainable
In this episode of the Security Strategist Podcast, Dan Williams of Cambridge Intelligence joins John Tolbert of KuppingerCole Analysts to examine how AI and graph visualisation are changing cybersecurity investigations.
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How To Build A Security Operations Centre Operating Model
In this article, we’ll explore what a SOC operating model is, how to design one around your threat profile, and where people, governance and technology fit in.
How AI and Visualisation Make Security Investigations Explainable
In this episode of the Security Strategist Podcast, Dan Williams of Cambridge Intelligence joins John Tolbert of KuppingerCole Analysts to examine how AI and graph visualisation are changing cybersecurity investigations.
Microsoft Withdraws From UK AI Data Centre Deal With Nscale Amid Power Delays
The reported withdrawal follows repeated project delays, with grid officials reportedly warning that a power connection for the Loughton, Essex, site may not be available until the 2030s.
Stewardship Debt: The Hidden Cost of Shared Technology
As enterprises become more dependent on shared technology, underfunded maintainers and infrastructure providers can leave them facing unexpected costs that were not factored into the original decision to adopt it.
Does Behavioural Detection Work Against AI Agent API Traffic?
As shadow APIs multiply and AI fuels reconnaissance, enterprise security faces a blind spot. Radware’s Uri Dorot and KuppingerCole’s Jonathan Care explain how to stop stealthy API attacks.
What Is Reflection AI? Beam, Nvidia and the Race for Open-Weight AI
Reflection AI’s first open-weight model targets coding and AI agents, while reported talks with Nvidia highlight the strategic importance of more customisable AI systems.
Financial Stability Board Strengthens Human Oversight Guidance for Agentic AI
The Financial Stability Board has issued final guidance urging financial institutions to strengthen controls over autonomous AI systems, including risk-based requirements for human approval of higher-risk actions.
