AI is changing the offensive security landscape faster than it is changing enterprise defensive capabilities. The detection strategies most vulnerable, and the investments most worth making, deserve more attention than they are getting.
NIS2 significantly expands the scope, obligations, and enforcement regime of European cybersecurity regulation. This is the strategic assessment that enterprise technology leaders need to begin their compliance planning.
GPT-4 represents a step change in large language model capability that materially changes the enterprise AI investment calculus. The quality of reasoning, the multimodal input handling, and performance on professional knowledge tasks all move AI from a productivity experiment to a strategic capability question.
Two years after the Cloud Operating Model for Dummies framework, the enterprise patterns are clear. The organisations that invested in operating model design before architecture decisions are ahead. The ones that skipped it are managing expensive complexity.
The pace of AI capability development is outrunning the governance frameworks that enterprise boards have in place to manage technology risk. This is the governance framework that can keep pace.
Two forces are converging on enterprise technology strategy heading into 2023: the post-ChatGPT AI acceleration and the cloud cost and complexity reckoning. The intersection of these forces defines the strategic decisions that matter most.
ChatGPT’s launch has made the capabilities and limitations of large language models viscerally real to executive leaders. The question is no longer whether AI will change enterprise operations. It’s how quickly and on what terms.
Enterprise cloud security programmes have accumulated point tools at a rate that now creates more risk than it reduces. The case for consolidation is not cost reduction. It is security effectiveness.
The Broadcom acquisition of VMware is the most significant enterprise infrastructure transaction of the decade. Its implications extend well beyond VMware’s product portfolio.
Most enterprise AI programmes have delivered incremental automation rather than transformational business outcomes. The question is why, and what the organisations that are succeeding have done differently.