Protect confidential data while running powerful AI and Machine Learning Microsoft algorithms hosted in MS Azure by calling our RPS integration components & RPS Protection server. RPS integration components will dynamically capture and ask RPS Protection server to transform clear confidential data into encrypted, tokenized, anonymized and/or pseudonymized values.

Users

-Data Scientists

-Business analyst

Pain points solved

-Access in clear to your confidential data through the US Cloud Act by US authorities

-Nonacceptable usability for Business analyst/data scientists to access sensitive/confidential data protected while operating.

-Preservation of the power of AI/ML algorithms while enforcing security measures

-Analytics and machine learning in compliance with EU-GDPR and Swiss regulations

-Compliance with data subject’s consent and rights for individuals (EU-GDPR)

-Compliance with in-country banking regulations related to Client Identifying Data: FINMA in Switzerland

Value proposition

-Segregation of duty between MS functional services (Machine learning / AI algorithm) & security/compliance services provided by a third party Trusted platform (RPS), fully managed by you

-Dynamic Data protection and deprotection covering all types of AI/ML data processing - for authorized users only.

ROI
-2 Clicks to benefit from Audit evidence related to mass analytics protected by RPS. It drastically shortens the time to gather information that all regulated data are effectively protected (during audit phases led by Internal Auditor, external Auditors and regulators).

Unique Selling proposition

Rich anonymization, pseudonymization, encryption and tokenization libraries > 100 techniques
All the protection configurations per field and/or per file can be reused via your RPS Configuration module for multiple data sets.
Performance: handle large volumes of data sets to be protected

RPS for AI and Machine Learning data protection

Автор: REGDATA