Tag: technology

  • Quantum Computing: A Few Things Every Business Leader Needs to Know

    Quantum Computing: A Few Things Every Business Leader Needs to Know

    Quantum computers are no longer decades away. Technology advances are being made rapidly. Banks have already started using quantum computers. Drug firms are experimenting. Much of your encryption will eventually fail. Fewer than 5% of businesses have a plan. Here’s what leaders need to know, and do, now.

  • Your ‘AI’ Probably Isn’t AI

    Your ‘AI’ Probably Isn’t AI

    Many companies mistake Robotic Process Automation (RPA) for AI, a confusion that risks future competitiveness. While RPA follows rigid scripts for repetitive tasks, true AI adapts to new data and makes independent judgments. Distinguishing between ‘agent-washed’ marketing and genuine reasoning capabilities is crucial for building a scalable business foundation.

  • Stop Blaming People

    Stop Blaming People

    The security–business divide isn’t a people problem, it’s a systems problem. Misaligned structures, incentives, and information create friction. Real progress comes from redesigning how organisations coordinate security and business decisions—building shared understanding, embedding security into strategy, and working as true partners rather than adversaries.

  • The AI Boardroom Playbook – Approve Thoughtfully, Avoid Disaster

    The AI Boardroom Playbook – Approve Thoughtfully, Avoid Disaster

    Boards can’t blame the algorithm when AI goes wrong. Courts want human accountability. This guide shows how to govern AI projects without killing innovation—fix accountability, make oversight real, and distinguish between recoverable mistakes and catastrophic failures.

  • Cyber Risk is Business Risk: Why Security Belongs in the Boardroom

    Cyber Risk is Business Risk: Why Security Belongs in the Boardroom

    Cybersecurity is not a technical issue but a board-level ethical responsibility. Organisations make a promise to protect the data they collect, and failing to do so erodes trust, damages reputation, and creates strategic risk. Strong governance, honest risk decisions, and a security-driven culture are essential for leadership.

  • The Emperor’s New Algorithm

    The Emperor’s New Algorithm

    Many vendors exaggerate or fabricate their use of AI, putting buyers at legal and operational risk. From false automation claims to failed “AI” safety systems, the costs are real. Regulators are cracking down, so buyers must demand technical evidence, measurable performance, and contracts that clearly assign liability and exit rights.

  • Stop Telling CISOs to ‘Stop Complaining’

    Stop Telling CISOs to ‘Stop Complaining’

    CISOs seem negative because you’ve created an environment that rewards negativity. You measure them on problems found, exclude them from planning, and ignore their proactive work. Change how you measure, engage, and fund security—and the “complaining” disappears. Most CISOs are already enabling business. You just need to notice.

  • The Board’s Cybersecurity Blind Spot

    The Board’s Cybersecurity Blind Spot

    Boards receive detailed cybersecurity presentations but leave meetings uncertain about actual business risk. Technical metrics like vulnerability counts fail to translate into meaningful governance insights. Effective oversight requires boards and management to collaborate, transforming cyber reporting from technical dashboards into business risk conversations that enable informed decision-making.

  • Cyber Risk Appetite – The Strategic Decision Every Board Must Master

    Cyber Risk Appetite – The Strategic Decision Every Board Must Master

    Setting a cyber risk appetite is a critical boardroom activity, defining how much risk a business can tolerate. Moving beyond technical metrics, boards must align cybersecurity with strategic goals using frameworks like NIST and MITRE ATT&CK. Clear governance and realistic stress-testing ensure resilience, fostering trust and competitive advantage.

  • AI’s Causal Illusion: A Hidden Threat to Business Decisions

    AI’s Causal Illusion: A Hidden Threat to Business Decisions

    LLMs simulate causal reasoning by recalling patterns from their training data, not by understanding cause and effect. This leads to a significant business risk: AI recommendations may seem confident but are often flawed, particularly in novel situations.