Understanding the Crucial Role of Data Protection for AI

There exists a legitimate concern that components of AI applications, such as large language models (LLMs), could create new attack surfaces for cybercriminals. All organizations must grasp the consequences of compromised AI data that lacks protection. According to research by TechTarget’s Enterprise Strategy Group, Reinventing Backup and Recovery with AI and ML, 65% of organizations confess to regularly backing up only up to 50% of their total volume of AI-generated data. According to the Dell Technologies 2024 Innovation Catalyst report, 92% of Indian businesses feel security operations mostly consist of patch management/ security updates. In the current threat landscape, this approach could potentially expand the threat surface for businesses. The report also found that 94% of Indian organizations felt AI and/or GenAI could help them prevent, detect, and respond to out-of-policy threats and behavior from their workforce, be it escalating cyber threats, human errors, system failures or natural disasters, the risk of data loss hangs over AI applications, as it would for any other mission-critical data.