About
Fortanix delivers a comprehensive, enterprise-grade data security platform purpose-built for the AI era and post-quantum computing landscape. At its core, the Fortanix Platform combines a Data Security Manager (DSM), Hardware Security Module (HSM), Key Management Service (KMS), and Confidential Computing Manager into a unified solution for organizations managing sensitive data across complex environments. The platform's flagship Confidential AI capability enables enterprises to run secure AI inference while protecting proprietary model IP, prompts, and data in use — critical for organizations deploying AI factories or working with third-party AI models. Runtime Encryption® technology ensures data remains encrypted even during processing, closing a critical security gap traditional solutions miss. Fortanix supports a broad range of use cases including legacy HSM modernization, cloud infrastructure migration, secrets management, database encryption, data tokenization, code signing, and bring-your-own-key (BYOK) implementations for AWS and Google Cloud. Its compliance coverage spans GDPR, HIPAA, SOX, PCI DSS, APRA CPS 234, DORA, and more, making it a strong fit for heavily regulated industries such as banking, healthcare, federal government, and manufacturing. Designed for CxOs, security teams, data teams, and AppDev teams, Fortanix integrates with major platforms including AWS, Google Cloud, Snowflake, ServiceNow, and VMware. With 100+ security patents and 30+ published research papers, Fortanix is a trusted choice for enterprises requiring deterministic, auditable data security at scale.
Key Features
- Confidential AI: Secures AI models, prompts, and data in use via Confidential Computing, enabling safe AI inference without exposing proprietary model IP or sensitive inputs.
- Data Security Manager (DSM): Unified platform for key management, HSM, tokenization, secrets management, and encryption across hybrid and multicloud environments.
- Runtime Encryption®: Proprietary technology that keeps data encrypted during processing, eliminating the window of exposure that traditional security tools leave open.
- Post-Quantum Cryptography: Future-proofs cryptographic infrastructure against quantum computing threats with quantum-safe algorithms and multi-sourced quantum entropy (QRNG).
- Broad Compliance Coverage: Supports GDPR, HIPAA, PCI DSS, SOX, DORA, APRA CPS 234, and more — with purpose-built controls for regulated industries.
Use Cases
- Securing proprietary AI model IP and inference pipelines in enterprise AI factories using Confidential Computing
- Centralizing cryptographic key management across AWS, Google Cloud, and on-premises environments for multicloud enterprises
- Achieving and maintaining compliance with GDPR, HIPAA, PCI DSS, and other global data privacy regulations
- Modernizing legacy HSM infrastructure by migrating to cloud-based hardware security modules without sacrificing security posture
- Preparing enterprise cryptographic systems for post-quantum threats using quantum-safe algorithms and QRNG entropy sources
Pros
- Comprehensive Security Stack: Combines KMS, HSM, Confidential Computing, and AI security into a single platform, reducing vendor sprawl for enterprise security teams.
- Multicloud & Hybrid Ready: Seamlessly manages keys and data security across AWS, Google Cloud, on-premises, and hybrid deployments from a unified control plane.
- Strong Compliance Posture: Purpose-built controls for a wide range of global regulatory frameworks make it ideal for banking, healthcare, and government sectors.
- AI-Era Security: Confidential AI protects proprietary model IP and inference pipelines — a critical capability as enterprises adopt generative AI at scale.
Cons
- Enterprise-Only Focus: The platform is designed for large organizations and may be overly complex and cost-prohibitive for SMBs or early-stage startups.
- Non-Transparent Pricing: Pricing is not publicly listed; organizations must engage with sales, which can slow procurement and budgeting processes.
- Steep Learning Curve: The breadth of features — HSM, KMS, Confidential Computing, tokenization — requires significant security expertise to configure and operate effectively.
Frequently Asked Questions
What is Confidential AI and how does Fortanix implement it?
Confidential AI is Fortanix's solution for running AI inference securely, using Confidential Computing to protect AI models, user prompts, and data in use. It ensures that neither the cloud provider nor unauthorized parties can access sensitive inputs or model weights during execution.
What is Runtime Encryption® technology?
Runtime Encryption® is Fortanix's patented approach to keeping data encrypted even while it is being processed in memory, eliminating the typical security gap where data must be decrypted for computation.
Which compliance regulations does Fortanix support?
Fortanix supports a wide range of global regulations including GDPR, HIPAA, PCI DSS, SOX, GLBA, DORA, APRA CPS 234, SEBI, SCHREMS II, Philippines Data Privacy Act, and Saudi Arabia's Essential Cybersecurity Controls (ECC).
Does Fortanix work across multiple cloud providers?
Yes. Fortanix provides unified key management and data security across hybrid and multicloud environments, including native integrations with AWS (XKS, BYOK), Google Cloud (EKM), and on-premises infrastructure.
Who is Fortanix designed for?
Fortanix is designed for enterprise organizations in regulated industries — including banking, healthcare, federal government, and manufacturing — as well as security teams, data teams, and application developers who require deterministic, auditable data security.
