The Next Tech Revolution

Cybersecurity has always been about staying ahead of technology, but since the late 1990s, however, technology has mostly been synonymous with Information Technology. Since then, the information age paved the way for emerging technologies that go beyond the realm of computers and are set to to reshape societal paradigms at a fundamental level.

The cybersecurity community now needs to widen its aperture to encompass the full range of these new technologies and adapt its role accordingly in this evolving landscape.

Artificial Intelligence:

A lot has been said and written about AI. Like many new technologies, it could be argued that AI is progressing through its classic hype cycle.

The slowdown in AI and tech stocks toward the end of 2025 could indicate that the field has entered the “Trough of Disillusionment” stage.

However, tangible productivity statistics tell a different story: the world is already experiencing substantial impact from AI adoption, and this is just the beginning. For example, AI’s influence on science and research is seen in a 39% increase in patent filings and a 17% rise in downstream product innovation. These figures highlight how profoundly AI will accelerate human progress in the coming years.

Beyond productivity, AI has significantly shaped geopolitics and the strategic positioning of global powers around this transformative technology.

In 2025, the United States released its AI Action Plan, while its BigTech companies started forming strategic and economic partnerships with countries including the UK, France, Canada, the UAE, and India.

China responded by releasing its own Global AI Governance Action Plan just days later. It also launched the BRICS AI Industry Cooperation Network in Shanghai and formed partnerships with nations such as Brazil, Nigeria, and Kenya.

The competition extended into the economic sphere. The US is prioritizing innovation through its BigTech sector, while China is expanding its influence via open-source models. There were mutual tariffs being imposed between the two countries, and a battle of export controls on GPU chips and rare earth materials used in building those chips.

Blockchain:

AI was not the only emerging technology influencing the global economy and geopolitics in 2025.

Blockchain-based digital assets experienced a major push toward mainstream adoption in the Western hemisphere, driven partly by their growing role in economic competition.

Under the new administration, the United States positioned itself as the “Crypto capital of the world.” Key steps included establishing the Strategic Bitcoin Reserve (SBR) and the Digital Assets Stockpile (DAS), which brought this strategy sharply into focus.

Bitcoin was framed and promoted as a digital alternative to gold, while internationally traded, dollar-backed stablecoins were positioned as a means to safeguard the dollar’s status as the global reserve currency.

In the US, the GENIUS Act and the Clarity Act introduced greater regulatory support and guardrails, enabling institutional investors to allocate more capital to various digital assets.

In the UK, the Property (Digital Assets etc) Act came into effect, providing provides legal certainty for digital assets and encouraging institutional investment.

As the global market capitalization of the digital assets economy approached $4 trillion, questions began to arise about the security of the overall ecosystem, and in particular, the resilience of its underlying encryption algorithms..

Quantum Computing:

In 2025, global annual investment in quantum technologies reached an unprecedented $33.28 billion.

IBM updated its quantum computing roadmap, advancing the target for a scalable fault-tolerant quantum computer (FTQC) to 2029, a full year earlier than the previous 2030 timeline.

The cybersecurity community has long recognized the disruptive potential of FTQC. NIST, the NCSC, and the European Commission have published post-quantum migration roadmaps, but these have not received meaningful updates to reflect an accelerated schedule.

Most existing roadmaps prioritize transitioning encryption algorithms in traditional IT systems to quantum-resistant standards. However, far less attention has been given to updating the digital signature algorithms that secure blockchains and digital assets.

This gap creates a concerning asymmetry, where the ECDSA algorithm, widely used in popular digital assets, is more vulnerable to quantum attacks than RSA.

Once scalable FTQC systems become a reality, ECDSA’s vulnerability could carry substantial economic and geopolitical consequences for the digital assets ecosystem and the broader domains it now influences..

Energy:

With these innovations increasingly embedding technology into every aspect of our lives, the demand for energy to support them is growing at a comparable pace.

Global electricity demand rose by an estimated 3.3% to 4.5% in 2025, driven in large part by the expansion of data centers and AI infrastructure.

Major tech companies started responding directly to these pressures. Google recently acquired clean energy developer Intersect to better support the energy needs of its data centers. Microsoft has pursued similar strategies, establishing partnerships with Constellation Energy for reliable nuclear power and with Helion for future fusion energy, while announcing its Community-First AI Infrastructure initiative to protect local residents from rising energy costs associated with AI.

From a cybersecurity perspective, cyberattacks targeting energy and utility organizations increased by approximately 40% year-over-year in 2025, underscoring the growing vulnerability of this critical layer.

Where does it all lead?

With all these developments, it is possible to conceptualize a future technology stack to look like the following; energy at the core as the foundational layer, quantum computers as the next generation of hardware and compute, AI as the operating system of the future, and a digital economy, built on blockchain and digital assets, running as the primary application on top of the entire stack.

With this speculative view of the future, it is easy to see how cybersecurity will have a critical role to play at every layer of this new tech stack.

If the cybersecurity industry is to defend against novel threats that will be targeting each layer of the stack, it must start looking beyond traditional IT frameworks and keep pace with this evolving technology landscape.

If you’re interested in exploring what this next tech revolution means for your organisation – and how cybersecurity leaders can stay ahead of it – we invite you to join the conversation. To learn more or take part, please RSVP via the CIO or CISO track.

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The Digital Future of the NHS: How Technology is Transforming Healthcare Efficiency

In a landmark move to streamline healthcare management and enhance efficiency, Prime Minister Sir Keir Starmer has announced plans to reintegrate NHS England into the Department of Health and Social Care (DHSC). This decision aims to eliminate bureaucratic redundancies and harness the potential of technology to improve patient care.

Reversing the 2012 NHS Reorganisation

This reform effectively reverses the 2012 restructuring of the NHS initiated by former Conservative health secretary Andrew Lansley. The previous reorganization had established NHS England as an arm’s-length body, a move that has since been criticized for contributing to longer waiting times, decreased patient satisfaction, and increased operational costs.

Streamlining Operations and Reducing Bureaucracy

By bringing NHS England back under direct governmental control, the DHSC intends to streamline operations, reduce bureaucratic overlap, and empower healthcare professionals. Health Secretary Wes Streeting emphasized the need for a more efficient system, stating that the current setup has led to unnecessary complexities and that the reforms will support NHS staff in delivering better outcomes for patients and taxpayers.

Leveraging Technology for Enhanced Healthcare Delivery

A central aspect of this reform is the strategic use of technology to modernize the NHS. The government plans to utilize the NHS’s centralised model to expedite the procurement of technological solutions, secure better deals for taxpayers, and collaborate closely with the life sciences sector to develop future treatments. This approach aims to harness digital advancements to improve patient care and operational efficiency.

Leadership Transition Amid Reforms

The announcement coincides with significant leadership changes within NHS England, including the departures of Chief Executive Amanda Pritchard and National Medical Director Sir Stephen Powis. Sir James Mackey has been appointed as the transition chief executive to oversee the integration process. He acknowledged the potential challenges for staff but expressed optimism that the reforms would provide clarity and focus on addressing the significant challenges ahead.

Conclusion

The integration of NHS England back into the DHSC represents a pivotal shift towards a more efficient and technologically adept healthcare system. By reducing bureaucratic redundancies and embracing digital innovations, the UK government aims to enhance patient care, optimise resource allocation, and ensure the NHS meets the evolving needs of the population.

The Future of AI and Cybersecurity: Humans as Orchestrators, Not Replacements

As AI, automation, and digital transformation accelerate, one question remains: how do we, as humans, stay relevant?

The answer lies in orchestration. AI is a powerful tool for data processing and automation, but it lacks strategic foresight, ethical judgement, and the ability to understand long-term impact. Humans must set the direction while machines execute. Security, business, and technology leaders must find the balance, leveraging AI without relinquishing control.

Security in a Fast-Moving Digital World

Cybersecurity is no longer just about protecting systems; it’s about enabling innovation while managing risk. Industries with tight margins and intense competition, such as retail and logistics, increasingly depend on automation, robotics, and AI to remain viable. However, these advancements bring new vulnerabilities. The challenge is clear:

  • How do we integrate emerging technologies securely?
  • How do we balance innovation with regulatory and ethical responsibilities?
  • How do we ensure security does not become a barrier to progress?

Ignoring these questions leaves organisations exposed. Addressing them proactively turns security into a competitive advantage.

AI in Cybersecurity: Not a Silver Bullet

AI is transforming cybersecurity, enhancing threat detection, automating responses, and uncovering hidden risks. But it is not infallible. Attackers are always adept at targeting the easiest vector, humans, by manipulating people through social engineering and insider threats.

Human intelligence remains irreplaceable in security because:

  1. AI lacks context – It can detect anomalies but cannot fully interpret intent.
  2. Security is a business issue – It requires an understanding of operations, supply chains, and regulatory landscapes.
  3. Humans guide AI – Machines optimise; people define what success looks like.

The future is not about AI replacing security professionals, but about humans and AI working in tandem.

2025: A Pivotal Year for AI and Automation

AI and automation are evolving rapidly, from intelligent software to physical robotics. Industries that fail to engage with these technologies risk obsolescence. Yet adoption without adequate security controls leads to significant exposure.

This year, expect:

  • The convergence of AI and robotics, increasing automation across industries.
  • Greater regulatory scrutiny, particularly around AI ethics and data protection.
  • A shift in cyber threats, as AI itself becomes both a tool and a target for attackers.

Adapting to these changes requires strategic risk management and investment in resilience.

Security Leadership: The Challenge of Prioritisation

A major challenge for security leaders is managing volume – the sheer number of alerts, vulnerabilities, and regulatory requirements. Prioritisation is key.

In data science, we use dimensionality reduction to focus on what matters most. The same applies to cybersecurity:

  • Filter noise to identify high-impact risks.
  • Align security with business objectives to gain executive support.
  • Communicate clearly – security leaders must translate complex risks into concise, actionable insights.

Security teams should not be seen as obstacles, but as enablers of innovation.

Brains & Bots: The Power of Human-AI Collaboration

At an upcoming industry event, I’ll be discussing “Brains & Bots: The Powerful Alliance Between Humans and AI”. The concept is clear:

  • Humans set the vision, AI drives execution.
  • Humans interpret nuance, AI processes data.
  • Humans provide ethics, AI delivers efficiency.

The future is not about AI replacing professionals, but rather augmenting human intelligence. By directing AI effectively, we can unlock new possibilities in cybersecurity, business, and other sectors, including healthcare.

Final Thoughts: The Secret to Success?

If I had to pinpoint the key traits that drive success, I’d say:

  1. Persistence – Cybersecurity is an ongoing challenge; resilience is essential.
  2. Curiosity – Always ask why and what’s next?
  3. Adaptability – Technology evolves; professionals must evolve with it.

The question I leave for industry leaders is this:

  • How is your organisation preparing for the AI-driven transformation of security and business in 2025?

Because one thing is certain – change is happening.