Forcepoint has introduced AI Data Security, a cloud-based platform designed to unify AI oversight and data protection, enabling organizations to secure sensitive information across autonomous agents, shadow AI, and sanctioned AI applications. The firm markets the solution as the first platform that incorporates governance and security at the data level to counter the threat to the security of information due to employees and AI agents’ increasing interaction with AI models, copilots, and enterprise applications. Instead of handling AI security and data security separately, the platform enforces consistent policies on structured and unstructured data within both the on-premises and cloud environment, thus providing protection to sensitive information in all prompts, agents, and integrations. Based on Forcepoint’s technology for protecting web, email, endpoint, and network environment, the platform integrates governance in AI while adapting its protection automatically based on varying risk levels.
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It provides organizations with visibility on the data usage, interactions, and access made by AI agents as a way of fostering innovation without compromising the security and compliance requirements. The solution is currently being used by organizations in several industries such as financial services, healthcare, government, and manufacturing and is said to cut down the cost of managing data security policies by up to 90% and operational costs by 31%. “For 20 years, security meant keeping sensitive data away from risk. AI flips that,” said Ryan Windham, CEO of Forcepoint. “The data you most want to protect is the data that makes AI worth using. I’d urge every agentic enterprise to stop locking AI down and start securing it where the risk actually lives, in the data itself. Other approaches will only tell you what’s at risk. Forcepoint’s protection travels with your data into AI and proves it can be trusted there.”