Securiti Fuses Intelligent Data Protection and Control with Copilot Usage

Securiti, the pioneer of the Data Command Center, is unveiling a new solution engineered to increase data security for AI copilot adoption. Dubbed Security for AI Copilots in SaaS apps, Securiti addresses the gap between copilot innovation and data leakage and exposure, offering a comprehensive solution that boosts employee productivity and implements robust, continuous data security and controls.

Securiti’s latest solution sets its aim on the adoption of various copilots—such as Microsoft 365 Copilot—and the way that it  can inadvertently cause data exposure. Powered by the Data Command Graph, Security for SaaS AI Copilots delivers granular, file-level contextual intelligence, out-of-the-box risk insights, and automated remediation to protect data and strengthen security posture in copilot usage.

Not only does Security for SaaS AI Copilots improve overall data control, it also enhances the safety, precision, and efficacy of copilot responses, according to Securiti.

“AI copilots, like Microsoft 365 Copilot, when implemented safely, offer powerful opportunities to enhance productivity while upholding data security and trust across the enterprise,” said Rehan Jalil, CEO of Securiti. “Our solution empowers organizations to confidently embrace AI copilots with automated, advanced data security and access governance across SaaS environments. By proactively managing security and compliance risks, Securiti enables enterprises to unlock the full potential of GenAI in SaaS and enterprise applications.”

Security for SaaS AI Copilots features a wide array of robust security and control capabilities, including:

• Unintended data access prevention by identifying and remediating risky access permissions and avoiding data leakage from copilot responses to unauthorized identities
• Automatic file identification that determines whether a file is shared too broadly or externally and prevents that file from being used in copilot responses, additionally assessing data system configuration settings based on built-in security and compliance best practices
• AI-powered classification and contextual data intelligence that locates and prioritizes risk combinations based on files containing sensitive data, access misconfigurations, security posture violations, and other metadata attributes
• Copilot native controls that deliver automated confidential file labeling with precision at scale, ensuring copilots do not utilize said files
• Automated remediation with a federated approach, which automates policies for notifying SharePoint site and file owners to address security misconfigurations and access risks, reducing alert fatigue and accelerating remediation
• Redundant and obsolete data minimization by identifying, labeling, and restricting the utilization of files that exceed retention policies, lack recent use, or are duplicates, improving copilot response quality

To learn more about Security for SaaS AI Copilots, please visit https://securiti.ai/.