Securiti, a leading cybersecurity company, recently introduced a groundbreaking solution called Security for AI Copilots in SaaS apps. This innovative tool aims to address the major concern surrounding the adoption of AI Copilots, such as Microsoft 365 Copilot – data security. Organizations utilizing these AI tools need to ensure that sensitive information is not inadvertently leaked to unauthorized individuals or exposed to third parties and AI plugins. Securiti’s comprehensive solution provides robust security measures and data controls to enable organizations to enhance employee productivity without compromising on data security.
A recent report from Gartner revealed that only 6% of organizations piloting Microsoft 365 Copilot have successfully completed projects and are ready for large-scale deployments. This statistic underscores the critical need for enhanced data security measures in AI Copilot applications. Securiti’s Security for SaaS AI Copilot solution, powered by its Data Command Graph, equips organizations with the necessary tools to securely harness data through automated access and governance controls.
One of the key features of Securiti’s new solution is its granular, file-level contextual intelligence, which provides organizations with valuable insights into potential risks and automated remediation processes. By leveraging this technology, organizations can prevent unintended data exposure, bolster their security posture, and optimize the efficacy of Copilot responses to deliver accurate and secure AI-driven insights to employees.
With Securiti’s Security for AI Copilots in SaaS apps, organizations leveraging tools like Microsoft 365 Copilot can benefit from a range of advanced capabilities:
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Prevention of unintended data access: The solution helps identify and remediate risky access permissions that could result in the accidental exposure of files and sensitive information through Copilot prompt responses.
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Strengthening data security posture: Organizations can automatically identify and assess files shared too broadly or externally, as well as evaluate data system configuration settings to prevent potential security breaches.
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Prioritization of sensitive data risks: By leveraging AI-powered classification and contextual data intelligence, organizations can pinpoint and prioritize risks related to files containing sensitive data, access misconfigurations, and security posture violations.
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Leveraging Copilot native controls: Automated labeling of confidential files ensures that Copilot avoids using such files when responding to user queries, thereby enhancing data security.
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Automated Remediation with a Federated Approach: Policies can be automated to notify Sharepoint site and file owners about security misconfigurations and access risks, streamlining the remediation process and reducing alerts.
- Minimization of redundant and obsolete data: By identifying and restricting the usage of files that exceed retention policies, lack recent use, or are duplicates, organizations can improve the quality of Copilot responses.
Rehan Jalil, CEO of Securiti, emphasized the potential of AI Copilots like Microsoft 365 Copilot to enhance productivity and data security across enterprises when implemented securely. He highlighted how Securiti’s solution empowers organizations to embrace AI Copilots with confidence, offering advanced data security and access governance in SaaS environments. By proactively managing security and compliance risks, Securiti enables enterprises to fully leverage the power of AI in SaaS and enterprise applications.
In conclusion, Securiti’s Security for AI Copilots in SaaS apps represents a significant advancement in data security and governance for organizations utilizing AI technology. By implementing robust security measures and automated controls, organizations can unleash the full potential of AI Copilots while safeguarding sensitive information and maintaining trust across the enterprise.