Case:
Financial Services
Global Transformation of Transaction Systems with FHE
Homomorphic encryption revolutionizes data security in financial services. Processing encrypted data directly, it ensures confidentiality without decryption. Banks and financial institutions can share encrypted data securely, adhering to regulations. This transformative technology fosters trust, safeguards sensitive information, and drives financial innovation.
Homomorphic hashes ensure the non-repudiation and integrity of transactions. Homomorphic hashes of transaction data could be preserved and used to verify and audit integrity at any processing point. This protects all user data, including names, and credit card information, by transforming it into a hash value secured by homomorphic encryption, making it impossible to steal or alter the data at any stage of the transaction.
The entire banking system could be designed to execute homomorphic operations on encrypted transactions, such as addition, multiplication, division, and subtraction. This would allow computations and analytics on encrypted data without the need for decryption, enabling privacy and protection at every operation point, be it additional analytics on transactions or supplementary marketing processing of purchases.
Homomorphic encryption and homomorphic hashes could be applied to ensure the anonymity of transactions. Specific sender and recipient information could be encrypted, while homomorphic operations allow processing and analysis while preserving confidentiality. This solution simultaneously addresses privacy and security, surpassing GDPR, HIPAA, and other standards.
Homomorphic hashes could be used for authentication and integrity verification of payment channels, guaranteeing authentication across all channels, from banks to payment systems like PayPal and Apple Pay, making it impossible for any attacker to manipulate the hash without hacking.
Homomorphic encryption and homomorphic hashes could be utilized for access control and rights segregation in the transaction system. Encrypted data and homomorphic operations would allow managing access and operations based on defined rules and policies without disclosing specific data. This fully addresses insider issues within the bank, where employees only have access to transactions allowed by their homomorphic token, effectively mitigating insider threats.
In conclusion:
In the Financial Services use case, our revolutionary combination of the homomorphic cipher and
homomorphic hash is reshaping the financial industry's data security landscape. With this
advanced cryptographic duo, financial institutions can perform confidential computations on
sensitive data without the need for decryption.
The homomorphic cipher ensures that financial transactions, customer records, and sensitive
financial data remain fully encrypted during processing, guarding against security breaches.
Meanwhile, the homomorphic hash enables secure verification of data integrity, providing an
additional layer of protection against tampering or unauthorized changes.
By leveraging this powerful technology, financial service providers can conduct complex
analytics, risk assessments, and compliance checks on encrypted data, all while ensuring data
privacy and confidentiality. The result is streamlined banking operations, reduced data
exposure, and strengthened compliance with data privacy regulations.
Embrace our homomorphic cipher and homomorphic hash to unlock the potential of secure loan
processing, fraud detection, portfolio optimization, and other financial computations. This
transformative cryptographic solution paves the way for unparalleled levels of data security and
trust in banking transactions, marking a new era of innovation in the financial services sector.
To delve deeper into MathLock revolutionary technology kindly arrange a meeting
Use Cases
MathLock fundamentally changes FHE's operational capabilities and performance. We've built revolutionary and practical FHE cryptosystem with unmatched performance and security.