As generative AI (GenAI) tools become embedded in the fabric of enterprise operations, they bring transformative promise, but also considerable risk.
For CISOs, the challenge lies in facilitating innovation while securing data, maintaining compliance across borders, and preparing for the unpredictable nature of large language models and AI agents.
The stakes are high; a compromised or poorly governed AI tool could expose sensitive data, violate global data laws, or make critical decisions based on false or manipulated inputs.
To mitigate these risks, CISOs must rethink their cyber security strategies and policies across three core areas: data use, data sovereignty, and AI safety.
Data use: Understanding the terms before sharing vital information
The most pressing risk in AI adoption is not malicious actors but ignorance. Too many organisations integrate third-party AI tools without fully understanding how their data will be used, stored, or shared. Most AI platforms are trained on vast swathes of public data scraped from the internet, often with little regard for the source.
While the larger players in the industry, like Microsoft and Google, have started embedding…
