Generative AI and cybersecurity

While generative AI has the potential to transform and enhance aspects of nearly all business operations to create opportunities and add value, it also paves the way for more complex and advanced cyber threats. Cybersecurity experts are concerned that incorporating generative AI will lead to increased privacy concerns, more undetectable phishing attacks and larger volumes and higher velocity of attacks. To mitigate these concerns, generative AI should be integrated carefully into the company.

Generative AI cybersecurity can also support traditional IT security engineering by detecting and analysing threats, implementing adaptive controls, reporting cyber risks and incidents and managing system access.

Regulation compliance

National and EU regulations protect citizens from potential environmental, social and digital harm. However, these regulations are increasingly complex and frequently contain overlapping requirements and policies, exposing companies to legal risks if they aren’t implemented correctly. Generative AI empowers companies to improve the quality of their operations by summarising their obligations and giving insights that point the way forward.

Enhancing data security and quality every step of the way

Whether your company has already started to implement generative AI or is uncertain where to start, PwC has the experience and knowledge necessary to help you realise the full potential of generative AI within your company. Our experts can help build algorithms to ensure your generative AI runs on ethical and unbiased data, complies with all relevant regulations and builds trust with your stakeholders. Let PwC take your company’s generative AI strategy to the next level.