Metomic Unveils Solution to Prevent Data Leakage in Artificial Intelligence Tools

Metomic launches a solution to safeguard sensitive business data from exposure as organizations accelerate Artificial Intelligence adoption.

Metomic has introduced its AI Data Protection Solution aimed at preventing the inadvertent exposure of sensitive business data through widespread adoption of Artificial Intelligence tools such as ChatGPT, Copilot, Glean, Notion AI, Box AI, and others. The tool is designed to enable enterprises to harness the advantages of Artificial Intelligence integration while ensuring that data security and regulatory compliance remain uncompromised.

With Artificial Intelligence and machine learning adoption ranking as the top priority for CIOs in 2025, the urgency to secure sensitive enterprise data is at an all-time high. A recent survey highlighted that 81% of CISOs are highly concerned about sensitive information being unintentionally consumed by Artificial Intelligence tools, their workflows, or even their training sets. Incidents of data leakage could occur through responses to user prompts or manipulated prompts, underlining the need for comprehensive data governance and real-time oversight throughout Artificial Intelligence deployments.

Ben van Enckevort, CTO of Metomic, described the company´s Data Protection Suite as an essential step in ensuring that business-critical information is kept safe as Artificial Intelligence systems are increasingly embedded in organizational operations. The solution brings automated sensitive data discovery across platforms like Slack, Google Drive, Notion, GitHub, Salesforce, M365, Box, and Jira. It offers real-time monitoring, workflows and alerts, granular access controls ensuring only authorized Artificial Intelligence tools and users can access protected data, and compliance assurance designed to align with global data privacy regulations. Clients such as Revolut, Oyster, and Juni have already adopted Metomic’s Protection Suite, attesting to its value in safeguarding data privacy and compliance as organizations accelerate Artificial Intelligence-driven workflows.

56

Impact Score

IBM and AMD partner on quantum-centric supercomputing

IBM and AMD announced plans to develop quantum-centric supercomputing architectures that combine quantum computers with high-performance computing to create scalable, open-source platforms. The collaboration leverages IBM´s work on quantum computers and software and AMD´s expertise in high-performance computing and Artificial Intelligence accelerators.

Qualcomm launches Dragonwing Q-6690 with integrated RFID and Artificial Intelligence

Qualcomm announced the Dragonwing Q-6690, billed as the world’s first enterprise mobile processor with fully integrated UHF RFID and built-in 5G, Wi-Fi 7, Bluetooth 6.0, ultra-wideband and Artificial Intelligence capabilities. The platform is aimed at rugged handhelds, point-of-sale systems and smart kiosks and offers software-configurable feature packs that can be upgraded over the air.

Recent books from the MIT community

A roundup of new titles from the MIT community, including Empire of Artificial Intelligence, a critical look at Sam Altman’s OpenAI, and Data, Systems, and Society, a textbook on harnessing Artificial Intelligence for societal good.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.