AI Security and privacy is a fundamental right, not a bargaining chip. Leaders must build AI systems that respect user privacy and data security. So when developing AI applications, prioritise building systems that respect user privacy rights. This means obtaining explicit consent for data collection and implementing robust security measures to protect user information. By prioritising privacy, our Leaders will help build trust with users and ensure the long-term success of your AI endeavours.
John Keegan, Deputy Director Department, DWP
Jean-Christophe Gaillard, Corix Partners & Chris burtenshaw, Strata Security.
David Stubley, Cyber Security Assurance Board Advisor, Scotland IS
February 2026
Securing our information and our technologies has become critical in this shifting and uncertain geopolitical context. Even more so as we contend with the sheer computing power of quantum, and what this in turn means for our national security. Of course, the need to keep […]
February 2026
While AI coding assistants dramatically lower the barrier to building software, the true shift lies in the move toward “disposable code”, where the traditional value of a permanent codebase is replaced by a landscape of rapid prototyping, security risks, and the evaporation of intellectual property […]
February 2026
Fraud strategy has always evolved in waves. First came manual rules: static, analyst-built defences crafted from experience and gut instinct. Then came analytics, scorecards, models, and thresholds designed to refine those instincts. Now a new era is emerging, one where human expertise and artificial intelligence […]
February 2026
While boardrooms debate AI strategy and regulators wrestle with governance frameworks, a very different reality is unfolding across organisations. The actual state of AI adoption looks nothing like the official version. I spend a lot of time talking to senior leaders about AI strategy. We […]
January 2026
Are you investing in intelligence, or just adding in more noise? Fraud teams today are surrounded by opportunity. New data sources, be that device signals or behavioural analytics, all promise sharper detection and fewer false positives. But with every new feed comes a familiar question: Will […]
January 2026
Artificial intelligence is more than a technology shift; it’s a human shift. Leaders everywhere acknowledge that AI is transforming their organizations rapidly; yet despite investing heavily in algorithms and infrastructure, many are challenged in achieving the impact they envision. The reality is that employees don’t experience […]
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