Netskope Partners with OpenAI’s ChatGPT Enterprise to Strengthen Data Governance and Compliance

Bangalore, India – July 19, 2024 – Netskope, a leader in secure access service edge (SASE), has announced an integration with OpenAI’s ChatGPT Enterprise Compliance API aimed at enhancing security and compliance for enterprise customers utilizing generative AI (genAI) applications. This collaboration extends advanced API controls through the Netskope One platform, offering robust security features such as application visibility, policy enforcement, and comprehensive security posture management.

The integration addresses the escalating use of genAI applications, including ChatGPT Enterprise, prompting organizations to bolster data protection strategies. Netskope’s CASB API protection leverages APIs from major vendors like Box, Google Workspace, and Microsoft 365 to provide visibility and enforce policies over cloud-stored data. This integration ensures that enterprise data within ChatGPT Enterprise remains secure, compliant, and safeguarded against data policy violations.

“Through the Netskope One platform and our collaboration with OpenAI’s ChatGPT Enterprise, Netskope is committed to delivering comprehensive security solutions that support enterprises adopting genAI tools,” said Andy Horwitz, SVP, Global Partner Ecosystem, Netskope. “This integration underscores our dedication to empowering organizations with the necessary tools to manage sensitive data and ensure compliance as AI adoption accelerates.”

Key benefits of Netskope’s integration with ChatGPT Enterprise include:

– Ensuring compliance: Offering over 50 compliance templates and 3,000+ data identifiers, enabling organizations to enforce data loss prevention (DLP) and compliance policies for sensitive data, meeting regulations such as GDPR, HIPAA, and GLBA.
– Enhanced detection and protection of sensitive data: Providing out-of-band visibility and control to safeguard personal identifiable information (PII) and intellectual property (IP). Continuous data scanning identifies and addresses data leakage in near real-time, utilizing advanced DLP techniques like Machine Learning (ML) and Optical Character Recognition (OCR).
– Threat protection: Integrating advanced ML models for malware detection with traditional methods such as signatures and sandboxing, effectively identifying and mitigating potential threats in real-time.

This integration underscores Netskope’s commitment to delivering robust security solutions that help enterprises navigate the complexities of AI-driven applications while ensuring data security and compliance.