Fortinet has announced expanded innovations within its unified operating system, FortiOS, that protect against quantum-computing threats to current encryption standards. The latest FortiOS capabilities help organizations with highly sensitive data deploy encryption algorithms and key distribution methods that can withstand quantum-powered attacks, stack algorithms for more robust protection, and easily transition to post-quantum security.
“At Fortinet, we’re committed to arming customers with cutting-edge technology to protect against new and emerging threats. As quantum computing advances, organizations can trust Fortinet’s technology innovation and leadership to safeguard their critical data and future-proof their infrastructures. Many enterprises are eager to take action to protect their networks from quantum-powered threats. That’s why we’ve made cutting-edge, quantum-safe features available today for FortiGate NGFW and Fortinet Secure SD-WAN customers, so they can confidently transition to post-quantum security,” says Michael Xie, Founder, President, and Chief Technology Officer at Fortinet.
Quantum computers can perform complex calculations at unprecedented speeds and can easily break current encryption standards. Cybercriminals are already storing encrypted traffic to decrypt in the future, with a particular focus on industries that handle highly sensitive data that remains relevant over long periods, such as telecommunications, financial services, government, and healthcare.
With FortiOS 7.6, organizations, such as those using FortiGate next-generation firewall (NGFW) and Fortinet Secure SD-WAN, can now leverage built-in quantum-safe features designed to defend against emerging threats, including harvest-now, decrypt-later (HNDL) attacks. These capabilities help secure network traffic, simplify deployment, and support a smooth transition to post-quantum security. Customers have access to the following quantum-safe features at no additional cost: Post-quantum cryptography (PQC) methods, including National Institute of Standards and Technology (NIST)-approved algorithms like ML-KEM and emerging algorithms like BIKE, HQC, and Frodo.