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AI governance under strain: what modern platforms mean for data privacy
By Kevin Boyle published
AI risk emerges from live systems and processes, not abstract policies or model behavior.

The AI inflection point: How to turn supply chain volatility into foresight
By Jonathan Jackman published
As volatility rises, agentic AI embedded in workflows turns disruption into foresight.

Entering the post-speed era: when everyone can ship fast, control becomes the real advantage
By Joe Byrne published
While software delivery has sped up in recent years, and unlocked rapid progression for DevOps teams, it has also introduced new forms of risk.

Compliance culture reset 2026 - From gatekeepers to growth enablers
By Jamie Hoyle published
Communications compliance in 2026 means business enablement, and scaling oversight alongside the platforms under scrutiny.

Confronting AI’s data privacy paradox
By Kevin Cochrane published
As AI projects advance, enterprises must prioritize secure, flexible cloud infrastructure to protect their data.

Why LLMs are plateauing – and what that means for software security
By John Smith published
Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.

Turning VMware exit into a strategic advantage
By Dr. Ignacio M. Llorente published
Exiting legacy cloud platforms can modernize and future-proof infrastructure while saving money.

The visibility mirage: Why AI pilots keep stalling between ambition and impact
By Brandon Sammut published
AI execution is hard but when leaders close the gap between ambition and impact, they can turn AI pilots into meaningful progress.
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