Vendor comparison · 4 companies

Baffle, Fortanix, Protegrity and Skyflow

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Baffle, Fortanix, Protegrity and Skyflow Compared
What it sells
	BaffleBaffle sells a no-code solution that masks, tokenizes, and encrypts data.baffle.io	FortanixFortanix sells the Fortanix Data and AI Security Platform, which protects data, AI models, keys and applications while they are in use, and is built on Confidential Computing.fortanix.com	ProtegrityProtegrity sells data protection that can be applied wherever sensitive information lives or flows.protegrity.com	SkyflowSkyflow sells a data privacy vault to isolate, protect, and govern sensitive data.skyflow.com
What it sells	Baffle Data Protection^{[2][3][4][7][10][12][13]}A no-code solution that masks, tokenizes, and encrypts data. Baffle Data Protection Services^[7][12]Provides static and dynamic data masking for lower environments. Baffle Shield^[7]Sits as a proxy layer between production databases and lower environments.	DSM SaaS^[5]Provides key management and cryptography service across public, private, hybrid or multicloud environments. Runtime Encryption^[3][4]Protects applications and data in use inside a trusted execution environment. Key Insight^[6]A key management and inventory tool for multicloud and on-premises environments.	Enterprise Security Administrator (ESA)^[8][10]The central hub where security teams define and manage data security policies. Vaultless Tokenization^[8][9]Replaces sensitive data with anonymized values at the source. Protegrity Application Protector for Java^[10]Provides APIs for performing security operations in a client's applications.	Fintech Data Privacy Vault^[9]A data privacy vault for fintech use cases.
Categories
Categories	Encryption, tokenization and key management (primary category)	Encryption, tokenization and key management (primary category) Post-quantum cryptography	Encryption, tokenization and key management (primary category) Data security posture management Privacy management	Encryption, tokenization and key management (primary category) Privacy management AI model and agent security
Headquarters
Headquarters	Not stated on its pages	Santa Clara, United States^[2]	Stamford, United States^[2]	Palo Alto, United States^[2]
Founded
Founded	Not stated on its pages	Not stated on its pages	Not stated on its pages	2019^[2]
Ownership and funding
Ownership and funding	Not stated on its pages	Not stated on its pages	Not stated on its pages	Privately held^[5][6]
Named customers
Named customers	Not stated on its pages	Not stated on its pages	Not stated on its pages	Not stated on its pages
Recent news
Recent news	Not stated on its pages	October 19, 2026Fortanix announced support for CNCF Confidential Containers in Fortanix Confidential AI, letting organizations run AI workloads on Kubernetes inside hardware-based trusted execution environments.^[11]	Not stated on its pages	Not stated on its pages
G2 and Gartner Peer Insights
G2 and Gartner Peer Insights	G2: listed, seen November 3, 2026^[9] Gartner Peer Insights: Not stated on its pages	G2: Not stated on its pages Gartner Peer Insights: Not stated on its pages	G2: Not stated on its pages Gartner Peer Insights: Not stated on its pages	G2: Not stated on its pages Gartner Peer Insights: Not stated on its pages
Who it fits
Who it fits	From its own pages, Baffle sells mainly to financial services organizations, with banks, credit unions, Fintech providers, and insurance companies named. Baffle presents the same product for healthcare providers, payees, and health insurance companies. Baffle provides BYOK and record level encryption aimed at multi-tenant SaaS providers. Baffle says it works with System Integrators to deploy across the organization.	From its own pages, Fortanix sells mainly to organizations with sensitive workloads that run in untrusted environments such as the public cloud and remote clouds. Fortanix says it serves financial organizations and their ICT providers. Fortanix says it gives healthcare organizations the ability to protect e-PHI and the intellectual property in AI algorithms even on untrusted infrastructure. Fortanix says customers can deploy as SaaS, on-premises, or air-gapped, and that it supports regulated industries. Fortanix walks through real-world use cases in fintech, retail and transportation.	Protegrity's data sharing material addresses security architects who enable collaboration across hybrid and multi-cloud environments, and data architects who design scalable systems. Protegrity's solutions pages address sensitive-data workflows in financial services for generative AI. Protegrity's privacy material covers cohort analytics, clinical research and outcome studies on sensitive patient data. Protegrity's pages cover data in the cloud and on premises, at rest and in motion.	Fintech Data Privacy Vault is designed for fintech use cases. Skyflow healthcare data sharing is aimed at patients, care providers, and public health officials. Skyflow sells to teams that deploy AI applications in production and need dynamic access controls on PII, PHI, and PCI data. Skyflow also addresses organisations that must meet data residency standards such as GDPR, DPDP, and PIPL.
Last verified
Last verified	November 9, 2026	September 27, 2026	September 27, 2026	September 27, 2026

About Baffle

Baffle sells a no-code solution that masks, tokenizes, and encrypts data. Baffle says its no-code solution provides the security of application-level encryption without the difficulty, time, and expense. Baffle says the solution requires no-code changes to databases, applications, analytics, or AI/ML pipelines.^[3]

Baffle describes auditable protection of unstructured and structured data throughout the GenAI pipeline. Baffle says its platform protects data for GenAI as it is ingested into an object store and analyzed in an open-source database. Baffle says the solution supports masking, tokenization, and encryption with role-based access control for individual data values no matter where it is stored and used. Baffle cryptographically protects the data itself as it is created, used, and shared across cloud-native data stores.^{[1][2][3][5][7]}

For financial services, Baffle Data Protection is presented for banks, credit unions, Fintech providers, and insurance companies. For healthcare, Baffle Data Protection is presented for healthcare providers, payees, and health insurance companies. Baffle says the solution anonymizes PII and PHI data and limits data exposure through fine-grained role-based access control. Baffle says healthcare customers can conform with the requirements of HIPAA, GDPR, CCPA, NIST, and more. Baffle says financial services customers can conform with the requirements of GDPR, PCI, CCPA, NIST, and more. Baffle says it uses industry standard AES encryption to protect data at the field level so that HIPAA, GDPR and HITRUST requirements can be met. Baffle says its no-code data protection service helped a communications provider achieve PCI compliance by tokenizing sensitive customer data without modifying applications.^[3][4][5][8]

Baffle provides BYOK and record level encryption for multi-tenant SaaS. Baffle says its key virtualization layer integrates with HSMs, cloud key managers, and secrets managers to source customer-owned keys. Baffle says its BYOK platform is in production globally with SaaS providers in environments in excess of several billion records. Workiva says it is building AWS KMS key management into the core of its platform, where customers can bring in encryption key material and manage it.^[6]

Baffle presents Baffle Data Protection for securing data on the fly as companies modernize applications and workloads for migration to cloud infrastructure. Baffle says data remains protected and compliant in public clouds with encryption keys and access policies that customers control. Baffle says customers can encrypt data before it leaves their premise and migrate to the cloud platform in encrypted form.^[8][11]

Baffle Data Security for AWS S3 protects data from human errors causing unintended disclosure. Baffle says data is cryptographically protected before it lands in a S3 bucket, even from admin accounts. Baffle consolidates encryption keys for structured data in databases and unstructured or semi-structured data in object stores. Baffle provides a unified policy engine and admin console that ensures consistency and enforcement across all data stores.^[11]

For development and test databases, Baffle Data Protection Services provides static data masking and dynamic data masking. Baffle Data Protection Services protects data on-premises and in the cloud via a no code and low code data security mesh. Baffle Shield sits as a proxy layer between production databases and those in lower environments used for development and testing, and data is encrypted on the fly as it moves from the higher to the lower environment. Baffle says encryption can be specified on a column level, with different masking algorithms and encryption types based on the data type in each column.^[5][7][12]

Baffle says its no-code, simple-to-deploy security platform takes a data-centric approach at cloud scale without any performance impact or changes to applications. Baffle says it is integrated with AWS, Azure, IBM, and GCP. Baffle says Baffle Data Protection already protects more than 100 billion records at companies worldwide, from Fortune 25 to SMB. Baffle says it works with System Integrators to quickly deploy across the organization.^{[5][7][8][13]}

Baffle on the record

About Fortanix

Fortanix sells the Fortanix Data and AI Security Platform, which protects data, AI models, keys and applications while they are in use, and is built on Confidential Computing. Fortanix describes the problem this way: data, AI models and applications must be decrypted in memory to run, which leaves sensitive information and proprietary IP open to admins, operators and compromised hosts. Fortanix says it pioneered Confidential Computing in 2016.^[3]

Fortanix says its unified platform covers protecting data and AI in use and preparing for quantum threats. Fortanix says it brings Key Management, Confidential AI and Post-Quantum Readiness together in one platform. Fortanix describes Confidential Computing as running data and applications in secure enclaves that isolate the data and code to prevent unauthorized access, even when the compute infrastructure is compromised. Fortanix says customers can keep data and keys under their own jurisdiction in any cloud and hold their own keys.^[1][3]

Fortanix Runtime Encryption uses Intel SGX to enable general purpose computation on encrypted data without ever exposing plaintext application code or data. Fortanix says Runtime Encryption includes an EnclaveOS that transparently protects applications without requiring modifications. Fortanix lists databases, web servers, build servers, directory servers and key management among the applications available protected out of the box. Fortanix Runtime Encryption protects containerized applications during runtime from host-level attacks. Fortanix Runtime Encryption provides a security framework to ensure that sensitive data remains protected even when in use. Fortanix says Runtime Encryption allows organizations with sensitive workloads to operate in untrusted environments such as the public cloud and remote clouds.^[4]

On key management, Fortanix says encryption keys can be stored in a natively integrated FIPS 140-2 level 3 certified HSM, available on-premises or SaaS. Fortanix says DSM SaaS provides secure key management and cryptography service across public, private, hybrid or multicloud environments. Fortanix says it can encrypt data across databases, virtual machines, filesystems, and multi-cloud. Fortanix offers data tokenization, which replaces sensitive data to prevent data exposure. Fortanix proposes Key Insight as a key management and inventory tool that provides visibility and simplifies security controls across multicloud and on-premises environments.^[5][6]

Fortanix addresses quantum risk by helping customers find vulnerable cryptography, prioritize the risk, and migrate to NIST post-quantum algorithms with crypto agility built in. Fortanix says this is meant to stay ahead of harvest-now, decrypt-later attacks that target the data and AI customers protect today. Fortanix describes an approach to HSM modernization that removes legacy HSMs from service as they reach the end of their useful life.^[3][7]

Fortanix says customers can deploy as SaaS, on-premises, or air-gapped. Fortanix says its platform helps customers meet GDPR, HIPAA, PCI DSS and DORA, with FIPS-validated key protection, centralized audit trails, and cryptographic attestation. Fortanix says its unified platform enables financial organizations and their ICT providers to identify at-risk services, prioritize remediation efforts, and safeguard sensitive data across all layers and systems. Fortanix says that, as data flows between different clouds and datacenters, it is critical to apply zero trust security at the data layer by using encryption. Fortanix describes how to implement the data pillar recommendations of the Zero Trust Maturity Model from the US Cybersecurity and Infrastructure Security Agency (CISA).^[3][5][8]

A healthcare example Fortanix describes is BeeKeeperAI, which was created at the University of California, San Francisco (UCSF), Center for Digital Health Innovation (CDHI), and accelerates the development and deployment of artificial intelligence (AI) algorithms in healthcare. Fortanix says its Confidential Computing technology, combined with data at rest protection, lets healthcare organizations protect e-PHI and the intellectual property in AI algorithms, even on untrusted infrastructure. Fortanix says it makes it possible to enroll computing resources, in the cloud or on-premises, and deploy existing applications within a secure TEE in minutes.^{[1][3][5][9][10]}

Fortanix on the record

About Protegrity

Protegrity sells data protection that can be applied wherever sensitive information lives or flows. Protegrity protects sensitive data at rest, in motion and in use, and controls how AI agents see, share or act on it.^[4][11]

Protegrity semantic encryption creates protected equivalents designed to preserve useful meaning and relationships while reducing exposure of readable sensitive data. Dual-principal trust in Protegrity verifies both the agent and the person directing it before any data is accessed or action taken. Protegrity makes agents registered, verifiable principals, and tool calls can be permission-checked and logged with the identity and policy context behind each action. Protegrity can apply governance to model outputs and to inputs, checking responses before information reaches an agent or user. Protegrity inference controls prevent sensitive information exposure via user prompts and model responses.^[4]

Protegrity's governance layer beneath all three pillars is used to discover sensitive data, agents and tools, then define how data is protected, what agents can access and which tools they can use. Protegrity protects each data element individually as data moves from databases to prompts to agents. Protegrity's native protectors, gateways and an agent control plane plug into existing systems without moving data or rebuilding applications. Protegrity lets teams schedule recurring scans and use the results to inform policy.^[4][10]

Protegrity provides SDKs for finding and protecting sensitive data in prompts, logs and unstructured text. Protegrity offers anonymization that irreversibly de-identifies sensitive data while preserving value for analytics and model development. Protegrity governs how agents retrieve data, reason over enterprise knowledge and generate responses.

Protegrity's ML-powered discovery tools identify and classify sensitive data (PII, PHI, PCI, IP) across structured and unstructured sources. Protegrity Discovery integrates into applications, scripts and workflows through a REST API and Python SDK. Protegrity Discovery can be deployed within a customer's own infrastructure using Docker containers or managed Kubernetes support such as AWS EKS. Protegrity Discovery outputs identify the type of sensitive data along with a confidence score and location within the source text string. Documents can be scanned and scrubbed of sensitive information before vectorization to prevent PII leakage into Retrieval-Augmented Generation (RAG) pipelines and LLM prompts. Discovery results can feed Protegrity Governance to inform policy creation, refine protection rules and validate security posture. Protegrity's Anon solution anonymizes sensitive data while preserving analytical value and can be deployed across cloud or on-prem environments. Anonymization removes or generalizes identifiers using techniques that support privacy models such as k-anonymity, l-diversity and t-closeness.^[1][5][6]

Protectors can intercept data in transit via gateways or proxies, such as DSG for JDBC, without app changes. Protectors can also embed protection logic directly into custom or third-party applications via APIs/SDKs. Protegrity can tokenize or mask sensitive customer data (PII, PCI) stored in platforms such as Snowflake, BigQuery or Redshift, while preserving usability for reporting, AI and analytics. Sensitive fields such as payment info and account numbers can be dynamically masked or redacted based on user role or session context within internal applications or BI tools. Protegrity applies region-specific tokenization or other protection methods to meet data localization requirements like GDPR. Protegrity's vaultless tokenization replaces sensitive data with anonymized values at the source. PVT uses small, static token tables to create unique, random token values without a traditional vaulted token lookup table.^[1][7][8][9]

Protegrity Enterprise Security Administrator is an interface for centralized, visual administration of data security policies, key management, auditing and reporting of sensitive data assets across the enterprise. The Enterprise Security Administrator (ESA) serves as the central hub where security teams define and manage data security policies. Protegrity Data Security Gateway uses encryption and tokenization to protect sensitive data as it moves across the network. The Protegrity Application Protector for Java provides APIs for performing security operations in a client's applications. Protegrity supports any cloud or on-prem deployment of modern applications through an API with options to enhance security and performance. Protegrity partners with data storage and data analytics software providers including Amazon AWS, Microsoft Azure, Google Cloud and Snowflake. Protegrity gateways, integrations and solutions are regularly updated so its products evolve with Nacha, PCI-DSS and GDPR regulations. JustGiving chose Protegrity's data privacy solution to protect sensitive donor information and payment data and to comply with PCI DSS requirements.^{[1][4][6][8][9][10][11][12]}

Protegrity on the record

About Skyflow

Skyflow sells a data privacy vault to isolate, protect, and govern sensitive data. Skyflow secures the flow of data across datastores, models, and agents. Skyflow customers span verticals like fintech, retail, travel, and healthcare. Skyflow customers use the data privacy vault architecture to comply with data residency laws, keep sensitive data out of LLMs, and govern access to PII.^[4][9]

Skyflow detects and tokenizes sensitive values at runtime in databases, documents, and analytics platforms. Skyflow replaces PII and BII across multi-modal data and keeps referential integrity. Skyflow controls the flow of PII, PHI, and PCI data at runtime and deploys AI applications in production with dynamic access controls. Skyflow governs data flowing through agents, models, and tools over MCP, A2A, or APIs.

Skyflow sits between data sources, MCP servers, agents, and models. Skyflow masks, sanitizes, and rehydrates data in real time based on policy, identity, and context. Skyflow enforces field-level privacy across MCP connections without app changes. Skyflow automatically detects, classifies, and sanitizes PII, PHI, and PCI in real time. Skyflow restores original values only where policy allows in the workflow. Skyflow ties data access decisions to agent identity and runtime context. Skyflow sanitizes sensitive data before it reaches short- or long-term memory. Skyflow works with ChatGPT, Claude, Gemini, and all major agentic frameworks. Skyflow data policies are available as a gateway proxy or embeddable SDK, and any MCP-compatible agent framework enforces them without changes to existing application code. Skyflow logs every agent data access at the field level for compliance and auditability.^[1][10][11]

Skyflow sanitizes documents at ingestion and enforces client-level controls at runtime so that AI search can be deployed on customer data. Skyflow works with Glean, Sana, Coveo, Elastic, and other AI search and knowledge platforms. Skyflow enforces data residency across 150+ countries. Skyflow detects and redacts sensitive data and intellectual property during data collection, model training, fine-tuning, RAG, and inference. Skyflow detects, isolates, and protects sensitive information flowing into and out of generative AI agents. Skyflow applies access controls around who gets access to which data and for how long.^[1][8][12]

Skyflow secures card acceptance, card issuance, customer data management, money movement, and more. Skyflow captures PII in the customer vault and passes it to any card issuance platform through a secure integration. Skyflow runs KYC/AML checks and pulls credit history by sending data directly from the vault to service providers. Fintech Data Privacy Vault includes pre-built integrations with third-party service providers such as Alloy, Experian, and Visa. Skyflow offers client-side SDKs for iOS, Android, and JavaScript that let developers collect and tokenize data.^[7][9]

Skyflow isolates, protects, and governs sensitive health data while maintaining its usability for analytics, operational workflows, and third-party data sharing. Healthcare Vault isolates, encrypts, and protects sensitive PHI and PII data, while allowing safe use and sharing. Healthcare Vault includes built-in data tokenization, masking, and redaction functions. Skyflow limits who has access to what data, and in which format. Skyflow lets teams create RBAC, ABAC, and/or PBAC policies to define how sensitive data is accessed and used. Skyflow runs analytics and ML workloads on sensitive data without decrypting it.^[13]

Skyflow is an API-first platform built by developers for developers. Skyflow allows customers to comply with data residency standards as they arise, such as GDPR, DPDP, and PIPL. Skyflow supports data residency requirements such as GDPR, the EU AI Act, and DPDP. Skyflow safeguards PII with polymorphic encryption and other built-in security features. Skyflow grants column- and row-level access in privacy-safe formats and restricts access by IP address. Skyflow lets teams train LLM models without ever decrypting sensitive data.^{[3][4][7][8][9][11][13][14]}

Skyflow on the record

Sources

Baffle full record

[1]baffle.ioBaffle · baffle.io · undated page, accessed September 27, 2026 · Tier A
[2]Baffle data protectionBaffle · baffle.io · undated page, accessed September 27, 2026 · Tier A
[3]Protect Against Patient Data Theft with BaffleBaffle · undated page, accessed October 23, 2026 · Tier A
[4]Cloud Data Protection - PCI Compliance Tokenization - BaffleBaffle · undated page, accessed October 23, 2026 · Tier A
[5]Data Tokenization, De-Identification, Database Encryption - BaffleBaffle · undated page, accessed October 23, 2026 · Tier A
[6]Simplified BYOK for SaaS ProvidersBaffle · undated page, accessed October 23, 2026 · Tier A
[7]Data Masking, Sharing in Lower Environments - BaffleBaffle · undated page, accessed October 23, 2026 · Tier A
[8]Data Protection Service - Baffle Solutions by IndustryBaffle · undated page, accessed October 23, 2026 · Tier A
[9]Baffle Reviews 2026: Details, Pricing, & Features - G2G2 · undated page, accessed October 23, 2026 · Tier C
[10]AWS Database Migration Services Support - BaffleBaffle · undated page, accessed November 3, 2026 · Tier A
[11]Baffle Data Security for Amazon S3 - BaffleBaffle · undated page, accessed November 3, 2026 · Tier A
[12]PCI Compliance Tokenization, PCI DSS Tokenization - BaffleBaffle · undated page, accessed November 3, 2026 · Tier A
[13]Baffle - Making Data Breaches Irrelevant Through Data ProtectionBaffle · undated page, accessed November 3, 2026 · Tier A

Fortanix full record

[1]fortanix.comFortanix · fortanix.com · undated page, accessed September 27, 2026 · Tier A
[2]Fortanix and site partner to deliver multicloud saas data security offering to saudi arabian marketFortanix · fortanix.com · published July 1, 2023 · Tier A
[3]Securing Data in an AI worldFortanix · undated page, accessed October 24, 2026 · Tier A
[4]Runtime EncryptionFortanix · undated page, accessed November 5, 2026 · Tier A
[5]SOX Security | Solutions | ComplianceFortanix · undated page, accessed November 5, 2026 · Tier A
[6]CustomersFortanix · undated page, accessed November 5, 2026 · Tier A
[7]HSM Modernization: Simplifying data security | WhitePaperFortanix · undated page, accessed November 5, 2026 · Tier A
[8]Applying Zero Trust Principles to Data Security | WhitepaperFortanix · undated page, accessed November 5, 2026 · Tier A
[9]BeeKeeperAI Case StudyFortanix · undated page, accessed November 5, 2026 · Tier A
[10]Data Security-as-a-Service: Easier Security & ComplianceFortanix · undated page, accessed November 5, 2026 · Tier A
[11]Fortanix Announces Confidential AI for Enterprise Grade Kubernetes Workloads on CNCF® Confidential Containers (CoCo)Business Wire · published October 19, 2026 · Tier A

Protegrity full record

[1]PlatformProtegrity · protegrity.com · published September 1, 2026 · Tier A
[2]Protegrity announces settlement data security 164150889Protegrity · finance.yahoo.com · undated page, accessed September 27, 2026 · Tier A
[3]Protegrity | AI Security and Data Protection for EnterprisesProtegrity · undated page, accessed October 27, 2026 · Tier A
[4]Policy-Driven AI Data Security Platform | Protegrity DAIS | ProtegrityProtegrity · undated page, accessed November 10, 2026 · Tier A
[5]Data Discovery – ML-Powered Sensitive Data Identification | ProtegrityProtegrity · undated page, accessed November 10, 2026 · Tier A
[6]Privacy Service – Data Anonymization & De-Identification | ProtegrityProtegrity · undated page, accessed November 10, 2026 · Tier A
[7]Protection Service – Field-Level Data Protection & Utility | ProtegrityProtegrity · undated page, accessed November 10, 2026 · Tier A
[8]Secure Data Sharing | Vaultless Tokenization & Compliance Solutions | ProtegrityProtegrity · undated page, accessed November 10, 2026 · Tier A
[9]Industry Data Protection | ProtegrityProtegrity · undated page, accessed November 10, 2026 · Tier A
[10]Training and Learning Hub | Data Protection, Cloud & Compliance - ProtegrityProtegrity · undated page, accessed November 10, 2026 · Tier A
[11]Protegrity Data Security Integrations | Scalable Protection for Your Tech StackProtegrity · undated page, accessed November 10, 2026 · Tier A
[12]Data Protection Solutions for Sensitive Data | ProtegrityProtegrity · undated page, accessed November 10, 2026 · Tier A

Skyflow full record

[1]skyflow.comSkyflow · skyflow.com · undated page, accessed September 27, 2026 · Tier A
[2]5caff613 773d 466d 9876 cd803811d30bSkyflow · jobs.ashbyhq.com · undated page, accessed September 27, 2026 · Tier A
[3]Data privacy vault skyflow secures 30 million in new fundingFinovate · finovate.com · published April 23, 2024 · Tier B
[4]Secure PII and Sensitive Data | SkyflowSkyflow · undated page, accessed October 28, 2026 · Tier A
[5]Skyflow | Runtime AI Data ControlSkyflow · undated page, accessed October 28, 2026 · Tier A
[6]Skyflow for HealthcareSkyflow · undated page, accessed October 28, 2026 · Tier A
[7]Skyflow for PaymentsSkyflow · undated page, accessed October 28, 2026 · Tier A
[8]GenAI Data Privacy and LLM Data Security | SkyflowSkyflow · undated page, accessed October 28, 2026 · Tier A
[9]Fintech Data Privacy Vault - SkyflowSkyflow · undated page, accessed October 28, 2026 · Tier A
[10]Skyflow for AgentsSkyflow · undated page, accessed November 10, 2026 · Tier A
[11]Agentic CommerceSkyflow · undated page, accessed November 10, 2026 · Tier A
[12]Skyflow for GleanSkyflow · undated page, accessed November 10, 2026 · Tier A
[13]Skyflow's Healthcare Data Privacy VaultSkyflow · undated page, accessed November 10, 2026 · Tier A
[14]Meet GDPR Requirements for Data Residency | SkyflowSkyflow · undated page, accessed November 10, 2026 · Tier A

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