The DORA findings show that productivity gains do not come primarily from the sophistication of the technology itself, but from the maturity of the surrounding system. Strong internal platforms, disciplined version control, effective testing practices, rapid feedback loops, and high-quality operational data were found to be far stronger predictors of AI success than the choice of AI vendor.

Mythos matters because it shows where cyber conflict is heading, not because it is a single advanced AI model. For defence leaders, the significance is not the technology itself, but what it represents. We are moving into a world where discovering vulnerabilities is no longer difficult, rare, or slow.

Anthropic’s Mythos represents a major shift in cybersecurity: an artificial intelligence system capable of identifying and, in controlled conditions, exploiting software vulnerabilities at unprecedented speed and scale.

The question of whether artificial intelligence can be conscious has shifted from science fiction to serious philosophical debate. This transition accelerated when evolutionary biologist Richard Dawkins published his reflections on extended conversations with Anthropic’s Claude, an advanced large language model developed by Anthropic.

Quantum computing is rapidly shifting from a theoretical field into a practical cybersecurity concern with direct implications for enterprise technology leaders. Recent research and industry signals indicate that the ability to break widely used encryption standards, such as RSA and elliptic curve cryptography (ECC) may arrive within the next five to ten years, and possibly sooner under optimistic assumptions.

The war in Ukraine provides a clear, real-world example of how organisations operate when conditions demand constant adaptation. Over a relatively short period, Ukraine has built a highly effective drone capability by combining rapid experimentation, local decision-making, and continuous learning from live operations.

Modern organisations are obsessed with behaviour. We measure it, rate it, train it, nudge it, coach it and, often judge it. When delivery falters, trust erodes, or transformation stalls, the diagnosis is frequently behavioural: people are resistant, not accountable enough, too siloed, too cautious, or not collaborative.

I had the fantastic opportunity to speak at the Digital Leaders AI Week 2025. From 13–24 October 2025, Digital Leaders will hosted the 8th edition of the UK’s biggest online festival of AI learning.

Todays young people are digital and AI natives, they are growing up in a world shaped by artificial intelligence, algorithmic decision-making, and social media platforms that harvest their data in increasingly sophisticated and opaque ways.

This paper outlines why the current UK Government bureaucracy and the Ministry of Defence’s CADMID delivery model are unsuitable for the development and deployment of AI and autonomous weapon systems. It highlights risks, provides examples, and suggests mitigations and alternative approaches.

Here is the description from the event itself.

In this episode we talk with Adam Scoot, a leadership coach, and get his top tips on how aspiring leaders can develop their skills, and what they need to do to successfully lead high performing teams. We talk about how you can empower people, and devolve decision making downwards. We talk about organisational clarity. We also talk about the importance of feedback.

Answering your questions from the Scrum Alliance Global Gathering Munich

Why agility in Defence matters (to everyone), the 3 BIGGEST constraints to agility (and therefore reducing the time and cost of a program delivery) and the killer patterns we have found that have worked across multiple clients, plus a few real world anecdotes from our time in defence.

I spent some great time with Stuart Mcskimming of Virtue Chain talking about Value Stream Mapping (VSM) and how organisations can identify what adds value and what doesn't. We think about examples in the charity sector - and discuss what impact Generative AI might have in this area.

As Artificial Intelligence reshapes the modern battlefield, the UK faces an urgent challenge: how to harness AI for defence while ensuring security, accountability, and ethical integrity. From AI-driven cyber warfare and autonomous weapons to misinformation campaigns and predictive intelligence, the future of warfare is increasingly shaped by machine learning.

Artificial Intelligence (AI) is now central to military competition between global superpowers. Who will control this technology, and how will it shape global power? AI-driven defence capabilities are rapidly evolving, with nations investing heavily in autonomous systems, data-driven decision-making, and AI-powered offensive and defensive measures. In addition to state actors, private corporations are increasingly shaping the AI landscape, controlling vast resources, proprietary AI technologies, and critical infrastructure.

As artificial intelligence (AI) assumes a greater role in defence, we must confront a difficult and pressing question: should machines be allowed to make life-and-death decisions on the battlefield? The ethical implications of AI in warfare are vast, ranging from the risk of biased algorithms to the potential rise of fully autonomous weapons. If we fail to establish strict regulatory and ethical frameworks now, we risk entering an era where AI dictates the rules of war, potentially undermining accountability, compliance with international humanitarian law, and the very notion of human agency in military operations.

Modern warfare is no longer confined to physical battlefields. Artificial intelligence (AI) is shifting the domain of conflict into cyberspace, where AI-driven cyberattacks and misinformation campaigns can be as disruptive as conventional military operations. The UK's national security relies on staying ahead in AI-powered cybersecurity, intelligence gathering, and countering adversarial AI-driven manipulation.

In the fast-moving defence sector, where agility and innovation are vital, a global client approached Taurus Consulting to reduce their time-to-market for a critical product. The existing development cycle was slow and rigid, hampered by siloed teams and a lack of iterative feedback. Taurus Consulting introduced a rapid prototyping framework, fostering cross-functional collaboration and embedding a culture of continuous learning. The transformation not only accelerated product development but also enabled the client to make data-driven decisions with greater confidence.

Amid widespread disruption, delays, and escalating costs, the client’s ability to deliver on critical defence programs was at risk. The goal was clear: overhaul the supply chain to improve efficiency, reduce costs, and build resilience against future disruptions. By leveraging Value Stream Mapping (VSM) and predictive analytics, Taurus Consulting delivered a transformation that enhanced the client’s operational capabilities and future-proofed their supply chain.