To improve cloud data security, enterprises use several data loss prevention techniques and data protection methods. Data encryption methods can avoid data breaches.
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Overview
Most challenging part for enterprise is to
make data secure and trackable
Adopting the cloud migration changes
the organisations profile that increases
in attacks
Best practices and strategies that are
enfored in organisation to reduce threats
3. Best practices to
achieve data
integrity,
confidentiality,
availability, and data
security in the cloud
Categorize your sensitive data
Implement the least privilege
model
Audit activity across your
environment
Use data masking techniques that
include encryption
Make sure your cloud provider
provides an SLA that meets your
availability needs
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Cloud data security
challenges
Lack of Visibility/Control
Managing the effect of the Shared
Responsibility Security Model
Fast Changes and High-Volume
Feature Releases
Managing Hybrid and Multicloud
Architectures
Immaturity of IaaS and
SaaS Security
People Shortage
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Sun Technologies'
strategies for data
confidentiality and data
security in the cloud
Discover and categorize your
data
Knowing which data needs
protection will help you set
priorities and apply multiple
security controls based on
classification outcomes
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Sun Technologies'
strategies for data
confidentiality and data
security in the cloud
Use data masking
This approach involves
securing sensitive data by
encapsulating it with
characters or other data. Data
can be hidden in real-time or
its original location when
requested by an application or
a user
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About Us To lead the industry, delivering IT
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integrity. To improve our client’s
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increase revenues and create
exceptional value
Our Services: Quality Assurance |Digital
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