RPS for Databases protection in production
REGDATA
RPS for Databases protection in production
REGDATA
RPS for Databases protection in production
REGDATA
RPS for Databases protection in production environment
Protect confidential databases (SQL or NoSQL) in production environment 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 and/or pseudonymized values.
Users
-Business analyst
-Business super users
-Database
administrators, super administrators
Pain
points solved
-Access
in clear to your confidential data through the US Cloud Act by US
authorities
-Nonacceptable
usability for Business analyst / super users of DB in terms of searches,
queries involving data fields encrypted,
tokenized or pseudonymized at rest
- Database administrators, super
administrators accessing confidential data in clear when they operate DB’s
-Compliance
with GDPR and Swiss regulations
-Compliance
with in country banking regulations related to Client Identifying Data: FINMA in Switerland
Value proposition
-Segregation
of duty between MS functional services (Azure Hosting) &
security/compliance services provided by a third party Trusted
platform (RPS), fully managed by you
-Dynamic
Data protection and deprotection of DB's covering all types of data processing
- for authorized users only
ROI
-2 Clicks to benefit from Audit
evidences related to databases in production 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
encryption, tokenization, pseudonymization libraries > 50 techniques
-Preserved usability for users: Read, search, query, filter, ...
-Preserved application performance: 0,15ms latency per field in
average
-Scalability: All
the protection configurations per field and or per file can be reused for
multiple databases in production