Protect Data Across Hybrid and Cloud Banking Environments

Data-Centric Security and Modern Banking

In modern banking, managing vast amounts of sensitive data, including financial transactions and customer details, is crucial. To remain competitive, banks are adopting cloud-based solutions and forming external partnerships that better leverage data's potential. Yet, this strategic shift presents challenges for banks' risk and compliance frameworks, particularly in meeting data protection and privacy regulations.

Comforte offers cutting-edge data-centric security to accelerate banking modernization and streamline cloud adoption. By fully leveraging data potential, banks can then drive customer value and innovation through AI/ML and other technologies while ensuring regulatory compliance and trust in data management. In addition, our approach mitigates risks, enhances security, and streamlines operations, reducing costs and administrative burden.

Key benefits

Data-centric security addresses risk and compliance roadblocks encountered in bank modernization projects. The approach means banks can securely move pre-protected data to the public cloud, facilitating innovation and value creation while avoiding reliance on fragmented security approaches.

Format-preserving tokenization unlocks the untapped value from data when using new technologies without increasing risk. This means banks can securely and compliantly enhance operational processes and ultimately deliver superior experiences for customers.

Comforte's patented data-centric security technology enables secure data utilization for processing, analysis, cloud migration, and third-party sharing, while mitigating risks and ensuring regulatory compliance. This de-risks data-driven strategies for banks, unlocking valuable insights and maximizing data value.

Simplify compliance efforts and ensure secure data transmission with comforte's robust and consistent data-centric security measures. Our technology enables banks to overcome data sovereignty obstacles by protecting data and ensuring that only compliant data is transmitted across jurisdictions.

Comforte's data-centric security approach enables banks to meet the stringent regulatory demands of PCI DSS v4.0, which includes requirements for protection, access controls, configurations, and audits. Our technology ensures that primary account numbers (PANs) are unreadable wherever they're stored, which can be achieved through both encryption and tokenization. With comforte, banks can be confident in their ability to comply with the latest PCI DSS standards.

Proof and Success

Major Indian Bank Implements Data-Centric Security and Meets PCI DSS Compliance

One of the largest banks in India that serves over hundreds of millions of customers across thousands of locations has adopted data centric security. The company operates extensively with PANs—personal account numbers—as well as other types of personal data for their financial operations and organizational objectives.

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Cross-regulatory Compliance for Payment Service Providers - How to Find the Right Strategy

Strategy whitepaper for PSPs that must comply with a slew of data protection regulations from various geographies. Learn how data-centric security helps manage the overlapping requirements of PCI DSS, GDPR and many other data privacy regulations.


Bankart meets PCI and GDPR Data Protection Requirements

Tokenisation offers protection without the performance pitfalls of classic encryption by preserving the format and utility of the protected data so that business applications and analytics can operate on tokens rather than sensitive data in the clear.

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Key Capabilities

End-to-End Data Security

Holistic safeguarding of sensitive information at every stage – whether stored, transmitted, or actively utilized. This robust security framework enables traditional banks to forge secure collaborations with fintech companies and external service providers, bolstering their service portfolio and operational resilience.

Privacy-Preserving Technology

A range of data de-identification options to effectively remove personally identifiable information (PII), thereby reinforcing user privacy and minimizing potential reputational damage in the event of a data breach. This proactive approach helps maintain customer trust and loyalty.

Granular Access Controls

Limit access to sensitive data according to specific requirements using a centralized access model that adheres to stringent banking data sovereignty regulations. This approach ensures that only authorized individuals can access critical information, enhancing security and regulatory compliance within the banking sector.

Automatic, Continuous Discovery

Real-time identification of known and unknown sensitive data elements residing or entering a network.

Find Unknown Sensitive Data

AI/ML-driven technology for automated, continuous discovery to identify security vulnerabilities from new digital banking touchpoints and apply appropriate protection measures to clear text data elements.

Auditing and Reporting

Full visibility across the data landscape to simplify auditing processes and streamline reporting for regulatory compliance with PCI DSS and other evolving regulatory standards.

Seamless Integration and Deployment

Deploy on-premises, cloud, or hybrid IT environments. Support for modern DevOps methodologies to enable "security as code" and "privacy by design" practices.

Cloud-Native Design

Seamless scalability and flexibility, mirroring the strategies of fintech competitors. Out-of-the-box integration features for easy adoption to enable banks to stay agile and competitive in the rapidly evolving financial services landscape.

Customizable Security Policies

Tailor security policies to specific use cases, ensuring robust defense against potential threats while accommodating diverse operational requirements that enable bank modernization and agility.

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