1. Defining cybersecurity materiality: With increasing levels of data breaches and evolving regulations, governments across the world are setting clearer expectations for managing cyber risks. A unified definition will close accountability gaps, enhance incident response and protect businesses from financial and reputational damage.
  2. Data quality as the foundation of cybersecurity: Cybersecurity is not about having more data — it is about ensuring the data is accurate, secure and private. Poor data leads to flawed security decisions, thereby making organizations more vulnerable to threats.
  3. AI as a core cybersecurity tool – While AI-driven attacks are a concern, AI is also used to strengthen cyber defence by detecting anomalies, leveraging predictive models to prioritize threat detection, and recommending actions based on risk assessment.