Fortanix® Inc., a global leader in data and AI security and a pioneer of Confidential Computing, today announced a partnership with CrowdStrike to help organizations secure AI across the entire lifecycle. By combining the Falcon® platform with Fortanix Confidential AI, the integrated solution will deliver end-to-end AI security, from threat detection and response, to protecting AI workloads, sensitive data, and proprietary models while actively running in memory.

Adversaries are increasingly using AI to launch faster, more sophisticated attacks targeting enterprise data, identities, infrastructure, and AI systems. CrowdStrike’s AI-native platform helps organizations detect, investigate and stop AI-powered threats before they can compromise AI environments. But detecting and preventing attacks across the AI lifecycle is only part of the challenge. Once AI workloads begin processing sensitive data and proprietary AI IP, organizations also need to prevent unauthorized access to both the models and underlying data alike. That’s where confidential computing provides a critical layer of defense.

Fortanix Confidential AI creates trusted execution environments where AI workloads execute in isolated, hardware-protected memory. Sensitive enterprise data, prompts, model weights, and inference outputs remain encrypted and protected while in use, preventing exposure to cloud operators, privileged administrators or malicious actors. Together, CrowdStrike and Fortanix will provide organizations with holistic security that protects the AI workload, from data to models and agents, before, during and after execution.

“Organizations are moving AI into production faster than ever, but securing AI requires more than preventing attacks. It requires protecting the data and models that power AI while they’re actively running,” said Anuj Jaiswal, Chief Product Officer at Fortanix. “Together with CrowdStrike, we’re bringing together AI-native threat protection and confidential computing to help customers secure the AI lifecycle, giving them the confidence to deploy AI at enterprise scale.”

“Security should accelerate AI adoption, not slow it down. As organizations move AI into production, they need modern security that protects AI workloads, sensitive data, and proprietary models against an evolving threat landscape,” said Daniel Bernard, Chief Business Officer at CrowdStrike. “Together, CrowdStrike and Fortanix will help customers securely innovate with AI, protecting the critical data and models that power their business.”

Unlike traditional AI deployments, where infrastructure providers or privileged administrators may have visibility into AI models or enterprise workloads, Fortanix Confidential AI protects the entire inference lifecycle inside confidential computing environments. Combined with the Falcon platform, organizations will be able to:

  • Detect and respond to AI-powered attacks targeting enterprise AI environments before they disrupt operations.

  • Protect sensitive enterprise data, prompts and inference workloads while AI applications are actively processing information.

  • Secure proprietary model weights and intellectual property from cloud providers, privileged administrators and other unauthorized access.

The partnership reflects both companies’ commitment to helping organizations securely operationalize AI. As enterprises increasingly rely on AI agents and generative AI to automate workflows, accelerate decision-making and strengthen cybersecurity operations, Fortanix and CrowdStrike will provide complementary protections that together secure AI infrastructure against evolving threats while protecting the sensitive data, proprietary models and intellectual property that make AI valuable.

Join Fortanix and CrowdStrike During Fal.Con

Attendees at Fal.Con 2026 can see Fortanix and CrowdStrike’s upcoming approach to layered AI security in action at Booth 1840. Book a demo and visit Fortanix to learn how organizations will be able to combine AI-native threat detection with Confidential AI to defend against evolving AI threats while protecting sensitive data, AI workloads and proprietary models.

The companies also invite Fal.Con attendees to the Fortanix Confidential AI Summit, co-hosted by CrowdStrike, taking place on Wednesday, September 2 from 4:30-6:30 pm PT at the Border Grill Mandalay Bay. The event will bring together CISOs, security architects, and AI leaders to discuss how organizations can run AI safely, protect proprietary AI models, and unlock secure enterprise AI deployments through confidential computing. Interested attendees can register to join the event.

Disclaimer: This release includes discussion of unreleased services or features. Any unreleased services or features referenced here are still in development and subject to change. Customers should make their purchase decisions based upon features that are currently available.

About Fortanix

Fortanix is the global leader in data and AI security and a pioneer of Confidential Computing, delivering a unified platform to protect sensitive data, AI models, and applications across on-premises and multi-cloud environments—at rest, in transit, and in use. Built on hardware-enforced security, Fortanix enables workloads to run in tamper-proof, isolated enclaves, protecting against data leakage, model extraction, and unauthorized access, even from privileged insiders.

As enterprises scale modern AI factories, Fortanix provides a Confidential AI foundation built on attestation-based trust, secure key release, and zero-trust enforcement. This ensures AI systems remain verifiable, auditable, and trustworthy—while enabling crypto agility and long-term resilience through post-quantum cryptography (PQC).

Trusted by leading enterprises and sovereign entities in highly regulated industries and powered by an industry-standard approach to Confidential Computing supported by leading technology providers, including Intel, Microsoft, and NVIDIA, Fortanix enables organizations to safely use sensitive data and drive AI adoption with confidence.

Media gallery

About The Author
Business Wire