We are all drowning in information in this digital world and the widespread adoption of artificial intelligence (AI) has become increasingly commonplace within various spheres of business. However, this technological evolution has brought about the emergence of generative AI, presenting a myriad of cybersecurity concerns that weigh heavily on the minds of Chief Information Security Officers (CISOs). Let’s synthesise this issue and see the intricacies from a microscopic light.
Model Training and Attack Surface Vulnerabilities:
Generative AI collects and stores data from various sources within an organisation, often in insecure environments. This poses a significant risk of data access and manipulation, as well as potential biases in AI-generated content.
Data Privacy Concerns:
The lack of robust frameworks around data collection and input into generative AI models raises concerns about data privacy. Without enforceable policies, there’s a risk of models inadvertently replicating and exposing sensitive corporate information, leading to data breaches.
Corporate Intellectual Property (IP) Exposure:
The absence of strategic policies around generative AI and corporate data privacy can result
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