RPS for AI and Machine Learning data protection

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