The conversation is shifting from purely prevention to rapid detection and response. strengthening identity verification processes – moving beyond single-factor checks to layered, risk-based authentication; second, by investing in detection capabilities that can analyse content authenticity in real time, such as media forensics and anomaly detection; and third, by increasing security awareness training to help employees recognise the behavioural patterns behind social engineering, not just the visual or textual cues.

Importantly, the conversation is shifting from purely prevention to rapid detection and response, because AI-driven attacks evolve too quickly to rely on static defences alone.

Given the global spread of data and diverse regulatory environments, what are the key challenges in creating a consistent and effective security framework when AI-powered threats can bypass traditional regional defences?

One of the biggest challenges is that cyberthreats, especially those powered by AI, don’ t respect borders, but regulations do. Security leaders are working in an environment where data may reside in multiple jurisdictions, each with different privacy, breach reporting and compliance requirements. This creates operational complexity when designing a single security framework.

To address this, leading organisations are focusing on building controls that are both globally consistent and locally adaptable. That means setting core security standards, such as identity protection, encryption and monitoring, that apply everywhere, while allowing for regional variations to meet specific regulatory obligations.

The rise of AI-driven attacks reinforces the need for this approach, because relying on traditional, region-specific defences is no longer enough; the playbook now emphasises global visibility, centralised governance, and the ability to deploy countermeasures quickly, no matter where the threat emerges.

Beyond traditional perimeter defences, what advanced security practices and technologies are being implemented to proactively identify, prevent and respond to emerging threats like AI-generated malware and zero-day exploits amplified by Machine Learning?

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