Partner integration

Protegrity & AWS

The Protegrity and AWS integration delivers fine-grained data protection across analytics, storage, and workload migration, enabling organizations to securely modernize in the cloud while meeting compliance in highly regulated industries.

PARTNERSHIP VALUE

Accelerate
Data Value

The AWS and Protegrity joint solution allows customers to unlock critical workloads and extract more value from their data. Protegrity’s fine-grain data protection enables customers to move data freely from on-premises to AWS cloud environments, helping unlock use cases and drive additional consumption by removing limitations on data flows and workload migrations to AWS.

AWS Integrations

Protegrity offers comprehensive data tokenization solutions across a wide range of AWS services, including Glue and Amazon Redshift. Typically, serverless AWS Lambda functions are utilized to execute Data Protection using user-defined functions (UDFs) and Python interfaces.

Simple Storage Service

Redshift

Athena

Glue

EMR

EC2

EKS

Lambda

RDS

Aurora

CloudWatch

DynamoDB

Kinesis

Amazon LakeFormation

Amazon Managed Kafka

SageMaker

Bedrock

AWS COMPETENCIES AND SERVICE VALIDATIONS

Protegrity demonstrates a high level of specialization, knowledge, and deep technical expertise of AWS products and services for proven customer success. Through the AWS Specialization Program we have validated our expertise in building software and delivering services across industries, use cases, and workloads.

Amazon RDS Ready
Data & Analytics Software Competency
Financial Software Competency
Healthcare Software Competency
AWS Lambda Ready
Qualified Software
Security Software Competency

Proven at Global Scale

Our data protection system protects sensitive data anywhere and everywhere, empowering our customers to use data to create better customer experiences, make intelligent decisions, and fuel innovation.

Use Cases

Powering secure global cloud migration–Protegrity enables secure, scalable migration to AWS using Vaultless Tokenization.

Finance

Securing Customer Data Across Distributed Systems

Challenge

A leading global bank faced major obstacles migrating its Central Data Platform to AWS after years on tightly controlled on-premises infrastructure. Sensitive financial data—including PCI, PII, and highly confidential information—was distributed across business units and geographies. Data sovereignty laws, cross-border processing restrictions, and the need for consistent protection across on-prem and cloud threatened the feasibility of migration.

Solution

Protegrity enabled secure, scalable migration to AWS using Vaultless Tokenization. Integrated centrally into the bank’s data platform, Protegrity protected global credit and debit card data with consistent, field-level protection across AWS services such as Redshift, Athena, Glue, and S3. Double-protection mandates were enforced uniformly, ensuring compliance while supporting modern cloud-native workflows.

Result

Enabled migration of previously blocked workloads, accelerating AWS adoption across business units.
Delivered seamless, cross-border protection for global card data under strict compliance mandates.
Standardized data protection policies across on-prem and cloud, simplifying audits and reducing risk.
Provided real-time, secure data access for authorized teams, supporting PCI and PII use cases.

Healthcare Payers

Securing Customer Data Across Distributed Systems

Challenge

A major healthcare provider needed to share sensitive patient data across research, analytics, and clinical operations teams while ensuring HIPAA and GDPR compliance. Patient health information (PHI) was dispersed across on-prem EHR systems and cloud data stores. Data sharing was limited by strict regulations, and the inability to securely combine datasets slowed innovation in population health analytics and clinical research.

Solution

Protegrity integrated with AWS services—including S3, Redshift, Glue, and Athena—to apply Vaultless Tokenization and dynamic masking to PHI at ingestion and during query execution. Protected datasets could be shared securely across departments and with research partners, while only authorized roles could detokenize when clinically necessary. This ensured compliance with HIPAA while enabling the safe use of PHI for advanced analytics and AI/ML models.

Result

Reduced time-to-insight for research and clinical trials by 35%, accelerating drug discovery and treatment analysis.
Enabled secure patient data sharing across departments and external research institutions, without exposing raw PHI.
Improved audit efficiency by 40%, simplifying HIPAA compliance reporting and reducing regulatory risk.
Supported advanced analytics use cases, including predictive modeling for patient outcomes, without compromising privacy.

“Building on Amazon Redshift’s built-in security capabilities, Protegrity helps us protect the privacy of individuals by supporting our data anonymization efforts. Our data security efforts are not a means to slow us down, but instead enable our business to move faster, while maintaining the necessary guardrails for user privacy.”

Agasi Aslanyan

Data Security and Privacy Architect

AWS + Protegrity Resources

Explore Our Resource Library

Blogs

In HostingAdvice’s “We Asked An Expert” feature, Iwona Rajca, Senior Solution Architect at Protegrity, explains why banking infrastructure doesn’t follow “cloud-first” narratives. In practice, cloud migrations frequently start as cost…

AI and Automation in Healthcare: 2026 Predictions — Protegrity Perspective

Jan 05, 2026

Healthcare IT Today’s annual predictions roundup on AI and automation for 2026 brings together perspectives across the ecosystem—from clinical workflow and bedside automation to back-office transformation and life sciences operations….

From Perimeter Failure to Data Protection: Lessons from 2025’s Quiet Breaches

Jan 05, 2026

In this year-end column for Cybersecurity Insiders, Protegrity’s Clyde Williamson argues that 2025 marked a shift from loud, headline-grabbing breaches to quieter, more dangerous compromise. Attackers didn’t need spectacle —…

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Technical Demos

Practical Guide

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Protegrity & AWS

PARTNERSHIP VALUE

Accelerate Data Value

AWS Integrations

Simple Storage Service

Redshift

Athena

Glue

EMR

EC2

EKS

Lambda

RDS

Aurora

CloudWatch

DynamoDB

Kinesis

Amazon LakeFormation

Amazon Managed Kafka

SageMaker

Bedrock

AWS COMPETENCIES AND SERVICE VALIDATIONS

Proven at Global Scale

Use Cases

Finance

Challenge

Solution

Result

Healthcare Payers

Challenge

Solution

Result

AWS + Protegrity Resources

Data Center Mania: Greed, Exuberance, and the Race to Build Artificial Brains

AI Fraud Detection in 2026: What Security and Risk Leaders Must Know

Future Data Theft and How We’ll Fight Back

Data Center Mania: Greed, Exuberance, and the Race to Build Artificial Brains

AI Fraud Detection in 2026: What Security and Risk Leaders Must Know

Future Data Theft and How We’ll Fight Back

Hybrid Cloud Isn’t a Compromise in Banking — It’s the Security Model

AI and Automation in Healthcare: 2026 Predictions — Protegrity Perspective

From Perimeter Failure to Data Protection: Lessons from 2025’s Quiet Breaches

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Accelerate
Data Value

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in action