BigID

Transforming data privacy with intelligent, automated insights and comprehensive protection.

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BigID
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Why Choose InNet + BigID:  

BigID offers enterprises a comprehensive platform to manage and secure their data, ensuring that they are prepared to tackle the complex challenges of data security, privacy, compliance, and governance. By leveraging advanced AI-powered data discovery, BigID allows organizations to accurately identify and classify sensitive data at scale. This capability is essential for enterprises that need to gain visibility into their data across cloud and on-prem environments, uncovering dark data and high-risk information that could otherwise be overlooked. With BigID’s AI-driven approach, organizations can accelerate their AI adoption while minimizing risks associated with data security and privacy. 

The platform also revolutionizes Data Security Posture Management (DSPM) by providing a proactive and automated method to uncover, manage, and mitigate data risks. BigID’s unique capabilities extend to Data Privacy Management (DPM), where data-driven automation helps enterprises achieve regulatory compliance and embed privacy-by-design principles throughout their operations. This ensures that enterprises not only comply with global privacy regulations like GDPR and CCPA but also reduce the likelihood of costly audits and fines. 

BigID’s commitment to modern data visibility and control is evident in its support for Zero Trust principles. By implementing robust access governance controls, enterprises can manage insider threats and reduce insider risk, ensuring that sensitive data is accessed only by those with the necessary privileges. The platform’s cloud-native architecture further enhances its value by enabling seamless deployment across hybrid environments, ensuring that enterprises can manage their data efficiently, regardless of where it resides. 

To experience the transformative power of BigID for your organization, contact InNet to schedule a demo today or request more information.  

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