RPS for AI and Machine Learning data protection
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RPS for AI and Machine Learning data protection
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
