Technology Leadership for Financial Services
Independent thinking on AI, cyber resilience, cloud strategy, and regulation — for UK FSI and energy leaders
Vulnpocalypse: How Financial Services Must Prepare for AI Cyber Threats
In early 2026, AI-powered vulnerability discovery crossed a threshold. Anthropic’s Claude Mythos identified thousands of previously unknown zero-days — faster than organisations can respond. For financial services, this Vulnpocalypse scenario isn’t hypothetical. It’s a governance and operational resilience challenge that demands action now. Here’s what it means, and how to prepare.
Orchestrated Resilience Matters for Financial Services
There’s been a shift in how people think about recovery. It’s no longer just about having backups—it’s about knowing *how* your critical applications come back, in what order, and whether you can prove it will work. For financial services, this distinction matters more than ever. In this post, we explore why application-level recovery planning beats…
AI Governance Is No Longer Optional — and the Window to Prepare Is Closing Fast
UK regulators are tightening AI oversight. The FCA Mills Review, Ofgem guidance and EU AI Act all demand governance now. What this means for financial services and energy.
Is Your Cloud Spend Working as Hard as You Are?
Cloud adoption solved speed and scale — but created a new problem: cost visibility. Here’s what Financial Services leaders are doing to take back control.
Private AI on IBM Power: Small Language Models Revolution
Enterprise AI has reached a turning point. Rocketgraph, Distil Labs, and IBM have announced a breakthrough that solves one of the biggest challenges facing regulated industries: how to leverage powerful AI capabilities without sensitive data ever leaving your infrastructure. Their solution? A specialized Small Language Model (SLM) fine-tuned for graph analytics that runs entirely on…
Protected: TX2025: Single-Node OpenShift Installation
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Protected: TX2025: Deploy x86 Microservices on Power with OpenShift
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Protected: TX2025: AI/ML Track: LLM & RAG Implementation
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Protected: TX2025: .NET Implementation on Power Track
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Protected: TX2025: Lab 2592 Intro
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