Skyhigh Security, a leader in Security Service Edge (SSE) solutions, has expanded its data protection capabilities to secure Microsoft Copilot and ChatGPT Enterprise, addressing the growing need for robust AI security measures in enterprise environments.

Background

The integration of AI applications like Microsoft Copilot and ChatGPT Enterprise into business operations has significantly boosted productivity. However, this adoption introduces substantial security challenges, particularly concerning data protection and compliance. A recent report by Skyhigh Security revealed that 11% of files uploaded to AI applications contain sensitive corporate content, yet less than 10% of enterprises have implemented data protection policies for data entering these platforms. (helpnetsecurity.com)

Skyhigh Security's Enhanced Data Protection Solutions

To mitigate these risks, Skyhigh Security has introduced tailored solutions for Microsoft Copilot and ChatGPT Enterprise, focusing on:

  • Data Loss Prevention (DLP): Enforces advanced DLP policies in near real-time across user prompts, AI-generated responses, and file interactions to prevent unauthorized data access. (skyhighsecurity.com)
  • DLP on Data at Rest: Conducts on-demand scans of previously uploaded or created files to detect compliance violations and exfiltration attempts, ensuring data integrity over time. (skyhighsecurity.com)
  • Sensitive Data Controls: Ensures that sensitive information from Office repositories, such as SharePoint, Teams, and OneDrive, is not ingested into AI applications, maintaining data confidentiality. (skyhighsecurity.com)
  • Comprehensive Threat Investigation: Provides deep visibility into user actions, enabling detection and analysis of risky behavior within AI tools, thereby enhancing threat detection capabilities. (skyhighsecurity.com)
  • User and Entity Behavior Analytics (UEBA): Utilizes advanced analytics to identify and mitigate suspicious behavior patterns and compromised accounts, bolstering overall security posture. (skyhighsecurity.com)

Implications and Impact

By implementing these enhanced data protection measures, organizations can confidently adopt AI technologies like Microsoft Copilot and ChatGPT Enterprise without compromising on security or compliance. This proactive approach enables businesses to harness the full potential of AI while safeguarding sensitive information and adhering to regulatory requirements.

Technical Details

Skyhigh Security's solutions integrate seamlessly with existing enterprise security frameworks, leveraging API-based controls, near real-time data loss prevention (NRT-DLP), and on-demand scans (ODS). These integrations provide:

  • Data Loss Prevention (DLP): Advanced DLP policies applied in near real-time across user prompts, AI-generated responses, and file interactions. (skyhighsecurity.com)
  • DLP on Data at Rest: On-demand scans to detect compliance violations and exfiltration attempts in previously uploaded or created files. (skyhighsecurity.com)
  • Sensitive Data Controls: Ensures that sensitive information from Office repositories is not ingested into AI applications. (skyhighsecurity.com)
  • Comprehensive Threat Investigation: Deep visibility into user actions, enabling detection and analysis of risky behavior within AI tools. (skyhighsecurity.com)
  • User and Entity Behavior Analytics (UEBA): Advanced analytics to identify and mitigate suspicious behavior patterns and compromised accounts. (skyhighsecurity.com)

Conclusion

Skyhigh Security's enhanced data protection solutions for Microsoft Copilot and ChatGPT Enterprise represent a significant advancement in securing enterprise AI applications. By addressing critical security challenges, these solutions empower organizations to leverage AI technologies effectively while maintaining robust data protection and compliance standards.

Reference Links

(helpnetsecurity.com)