TLDR: Metomic has introduced two new AI-powered solutions, Semantic Asset Classification and Data Cleanser, aimed at helping enterprises securely integrate AI tools by preventing sensitive data exposure and ensuring compliance amidst the rapid adoption of AI.
Metomic, a prominent data security platform, has announced the launch of two innovative AI-powered solutions: Semantic Asset Classification and Data Cleanser. These solutions are designed to empower enterprises to safely deploy artificial intelligence tools while rigorously protecting sensitive data, addressing critical security vulnerabilities that arise with the integration of AI agents and large language models into workflows.
The rapid adoption of AI tools such as Google’s Gemini Gems, Dust, Microsoft Copilot, ChatGPT, Glean, Notion AI, and Box AI has introduced significant risks of inadvertently exposing confidential information. Metomic’s research highlights that AI agents can easily extract sensitive data, including employee emails, financial documents, and intellectual property, if fed unredacted datasets. Ben van Enckevort, Co-Founder and CTO of Metomic, emphasized this challenge, stating, “The magic trick we demonstrated shows the core problem every company faces with AI deployment. When you ask an AI tool to ‘give me all the emails referenced in this dataset,’ it will comply without hesitation – exposing sensitive information that should never be accessible.”
The newly launched Semantic Asset Classification solution provides organizations with unprecedented visibility into their documents, detailing where they are shared and who has access. This capability is crucial for understanding and managing data exposure risks within AI environments.
Complementing this, the Data Cleanser addresses the critical need to redact sensitive information before data is fed into AI tools. This solution processes data from various sources, including Google Drive and Slack channels, automatically removing personally identifiable information (PII) such as emails and phone numbers, while preserving the contextual utility of the data for AI training and analysis. In demonstrations, the Data Cleanser successfully sanitized over 7,000 messages from Metomic’s internal development support channel, maintaining the necessary contextual information. According to Metomic, “The Data Cleanser redacts all sensitive information while maintaining the utility of the data for AI training and analysis.”
The urgency for such solutions is underscored by recent data. Metomic’s “2025 State of Data Security Report,” created in collaboration with Harris Interactive, revealed alarming statistics: 68% of organizations have been impacted by AI data leaks, yet only 23% possess proper AI data security policies. Furthermore, the average cost of a data breach has reached $4.8 million, with 73% of enterprises experiencing at least one AI-related security incident in the past 12 months. A survey also indicated that 81% of CISOs are highly concerned about sensitive data being inadvertently used by AI tools, AI agent workflows, or training sets.
Both Semantic Asset Classification and Data Cleanser are currently in beta with select enterprise customers, with general availability anticipated in July 2025. Future enhancements are planned, including custom classification labels, batch processing capabilities, and advanced truncation strategies. Metomic’s platform already supports integrations with Google Workspace, Microsoft 365, Zendesk, and various cloud storage platforms, offering real-time monitoring and AI-powered risk scoring to help prioritize high-risk assets.
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This launch positions Metomic as a key player in enabling secure AI adoption, allowing organizations to harness the benefits of AI while mitigating the significant risks of data exposure and ensuring compliance.
