
Enterprises increasingly view data as a strategic asset that shapes competitiveness, innovation, and operational resilience. At the same time, data has become a major source of risk: its volume continues to grow, while distributed storage models complicate visibility and governance. Regulatory frameworks such as GDPR, PCI DSS, HIPAA, ISO 27001, NIST, and local standards require not only visibility into information, but also verifiable protection, monitoring, and evidence of control. This creates the need for platforms capable of uniting security, classification, cryptography, and access management into a single model.
BigID is a global leader in data discovery and data intelligence. The platform utilizes algorithmic sensitivity analysis, machine learning, semantic analysis, and classification policies that enable precise identification of personal, financial, medical, and other regulated data across cloud, on-premises, and SaaS environments. Unlike traditional data inventory tools, BigID provides rich context—including data origin, type, server, user, risk level, and regulatory criticality—forming the foundation for informed decisions about further protection.
Fortanix is one of the leading developers of cryptographic data protection technologies and Confidential Computing. Its Data Security Manager platform provides centralized key management, tokenization, encryption, and cryptographic policies tied to the source of data and its usage scenarios. A significant advantage is the support for BYOK (Bring Your Own Key) and HYOK (Hold Your Own Key), allowing organizations to retain control over their keys even in public cloud environments, ensuring full compliance with corporate standards and industry regulations.

The integration between BigID and Fortanix eliminates the gap between data discovery and data protection. Using the BigID App Framework, classification attributes are automatically transferred to Fortanix, which applies the appropriate cryptographic policies. This means protection is activated not manually or based on an administrator’s interpretation, but on the actual level of data sensitivity. As a result, an uninterrupted data security cycle is formed in which risks are not only identified but immediately mitigated.
The BigID + Fortanix model enables organizations to implement Zero Trust Data Security principles, where access to information is based not on roles but on the characteristics of the data itself. This is particularly valuable for sectors where confidentiality, provability of control, and strict auditing are essential—finance, healthcare, telecommunications, government agencies, and critical infrastructure.
