F5 Expands Strategic Collaboration with Netapp to Enhance Ai Application Performance and Safeguard Data with Post-Quantum Cryptography

F5 announced an expanded collaboration with NetApp to drive high-performance AI data delivery and prepare enterprises for the post-quantum cryptography (PQC) era. This builds on a long-standing collaboration between F5 and NetApp, and aims to address the increasing demand for secure, resilient, and scalable solutions for AI workloads and S3 storage environments. The F5 Application Delivery and Security Platform (ADSP), paired with intelligent data infrastructure for AI built on NetApp technology, supports high-performance throughput and helps enterprises scale AI data delivery while defending against evolving cybersecurity threats, including those posed by quantum computing advancements.

For AI workloads, using complementary solutions from both companies optimizes massive dataset transfers through advanced load balancing, traffic prioritization, and real-time analytics. This provides throughput, resiliency, and secure delivery of AI/ML workflows spanning NetApp's enterprise-grade S3 storage architectures. In addition, the joint solution enables enterprises to secure sensitive S3 data flows against "harvest now, decrypt later" threats, ensuring long-term data protection with minimal disruption.

Introducing PQC innovations for future-ready data security and scalable AI performance In addition, customers can use complementary PQC solutions from both F5 and NetApp to help address the growing risk posed by quantum computing advancements by offering security measures to protect sensitive S3 data flows. Quantum computing, anticipated to revolutionize industries by enabling calculations far beyond the capabilities of classical computers, is also expected to compromise current cryptographic standards in the near future. For ease of deployment, F5 ADSP solutions support hybrid cryptography, which allows for interoperability across systems and helps modernize encryption frameworks while avoiding architectural overhead.

The solutions emphasize prioritizing quantum-resistant algorithms for high-risk assets such as patient health records and financial data, while minimizing resource overhead for less sensitive datasets. This approach ensures that businesses are better prepared for the quantum era, enabling secure encryption while maintaining performance and operational efficiency.