“Last year was a rocketship year for AI innovation, and advancements are already reshaping industries and redefining the way businesses think and operate. The integration of AI into countless operational tasks has allowed businesses to make faster decisions, further automate processes, and better predict behavior with remarkable efficiency.
However, the rise of AI also raised inevitable questions around data privacy and made clear the need to safeguard sensitive information. As regulators rush to catch up with the pace of innovation, data privacy is high on the agenda for 2024 and businesses must be proactive to ensure they are not exposing sensitive or proprietary data to unnecessary risk via third party AI apps and integrations.
Fortunately, many data protection issues caused by AI use can also be solved with the help of AI. Businesses should start by mobilising AI and machine learning tools within their security stack to ensure data is protected across four areas: sensitive data categorisation, employee training, data loss prevention and threat detection.”
About the Author
Neil holds over 25+ years of experience within the information security industry, currently serving as EMEA CISO for Netskope. He has been recognised by his peers as a leader in the industry including being selected in the CSO30 for 2022, shortlisted for an unsung hero award (CISO Supremo category) and awarded MVP in consecutive years (2021 & 2022) by his Netskope peers.
Neil is advisory board member to the Cloud Security Alliance (CSA) and former advisor to ENISA EU agency for Cybersecurity. Neil is also co-founder and board member to the Security Advisor Alliance (SAA), a non-profit organization focused on promoting the industry to the next generation and ensuring that students, teachers, and schools have the resources and mentorship necessary to foster the cybersecurity professionals of the future.
Neil is CISSP, CIPP/E and CEH certified and is a frequent speaker and author on cyber security, data protection and privacy-related topics.
