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The update is designed to prevent employees from unintentionally sharing confidential information while using AI platforms for analysis or edits.
In an era where artificial intelligence tools like ChatGPT, Claude, and Gemini are becoming ubiquitous in the workplace, data privacy and security have emerged as critical concerns. Recognizing this growing challenge, eScan, a leading cybersecurity provider, has announced a major upgrade to its Enterprise Data Loss Prevention (DLP) solution, tailored specifically to mitigate AI-driven data leak risks.
As businesses increasingly leverage AI tools for content creation, data analysis, summarization, and automation, employees may unknowingly upload sensitive internal documents, emails, or spreadsheets to cloud-based platforms. These platforms often store inputs on global servers, raising concerns over data ownership, misuse, and exposure, especially when content is used to train AI models.
The upgraded eScan DLP tool addresses these vulnerabilities by offering advanced monitoring, detection, and policy enforcement mechanisms that restrict unauthorized data sharing through AI platforms. It enables companies to define and control what data can be shared, flagged, or blocked, thereby preventing accidental data leakage and ensuring regulatory compliance.
The solution supports integration across popular workplace tools and provides real-time alerts, encryption protocols, and comprehensive usage reports to IT administrators. eScan’s DLP upgrade is also built to adapt to the dynamic nature of AI in business, ensuring scalability as AI adoption accelerates.
With this release, eScan positions itself at the forefront of AI data protection, helping businesses embrace digital innovation without compromising on enterprise security. The move reflects the growing industry need for AI compliance tools that balance productivity with robust cybersecurity measures.
As AI workplace risks evolve, tools like eScan’s upgraded DLP will play a pivotal role in safeguarding organizational data, reinforcing cyber resilience, and building trust in AI-enhanced work environments.
As businesses increasingly leverage AI tools for content creation, data analysis, summarization, and automation, employees may unknowingly upload sensitive internal documents, emails, or spreadsheets to cloud-based platforms. These platforms often store inputs on global servers, raising concerns over data ownership, misuse, and exposure, especially when content is used to train AI models.
The upgraded eScan DLP tool addresses these vulnerabilities by offering advanced monitoring, detection, and policy enforcement mechanisms that restrict unauthorized data sharing through AI platforms. It enables companies to define and control what data can be shared, flagged, or blocked, thereby preventing accidental data leakage and ensuring regulatory compliance.
The solution supports integration across popular workplace tools and provides real-time alerts, encryption protocols, and comprehensive usage reports to IT administrators. eScan’s DLP upgrade is also built to adapt to the dynamic nature of AI in business, ensuring scalability as AI adoption accelerates.
With this release, eScan positions itself at the forefront of AI data protection, helping businesses embrace digital innovation without compromising on enterprise security. The move reflects the growing industry need for AI compliance tools that balance productivity with robust cybersecurity measures.
As AI workplace risks evolve, tools like eScan’s upgraded DLP will play a pivotal role in safeguarding organizational data, reinforcing cyber resilience, and building trust in AI-enhanced work environments.
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