Microsoft has officially ceased support for TLS 1.0 and 1.1 in Azure Storage as of February 3, 2026. Users are now required to use TLS 1.2 or a newer version for encrypted connections.
Transition to TLS 1.2
This change marks a significant step in Microsoft’s ongoing efforts to enhance security protocols. The company had previously announced this cut-off date, emphasizing that the minimum TLS version would be enforced at the storage account level. This means that if a storage account is used for other Azure services, such as Azure Files or Queue Storage, those services will also adhere to the same TLS requirements.
Background on TLS Versions
Transport Layer Security (TLS) is a protocol that secures communications between applications and servers. The deprecated versions, TLS 1.0 and 1.1, were introduced in 1999 and 2006, respectively, and were officially deprecated in 2021. The TLS 1.2 standard was published in 2008, and the latest version, TLS 1.3, was released in 2018. Microsoft had maintained support for the older versions primarily for backward compatibility with legacy systems.
Impact on Users
Organizations that have not transitioned to TLS 1.2 or newer will face connectivity issues. Microsoft stated that all clients attempting to connect to Azure Storage services using TLS versions below 1.2 will be unable to establish a connection. This change follows a gradual phase-out of TLS 1.0 and 1.1, which had already been disabled in Microsoft 365 products.
Legacy System Challenges
While the move to TLS 1.2 is beneficial for security and compliance, it poses challenges for users relying on legacy systems. Older versions of Microsoft SQL Server and Windows Server, which depend on pre-1.2 TLS, may require updates or manual configuration to comply with the new standards. The U.S. National Institute of Standards and Technology (NIST) has recommended that government TLS servers and clients support TLS 1.2, further underscoring the importance of this transition.
This article was produced by NeonPulse.today using human and AI-assisted editorial processes, based on publicly available information. Content may be edited for clarity and style.
