Title: Data Loss Prevention DLP Service - Aurora IT
1Data Loss Prevention DLP Service
2- Effectively implemented DLP programs measurably
reduce enterprise risk. In addition to being
saleable and operationally efficient, a mature
Data Loss Prevention Program is adaptable enough
to handle business process changes or corporate
acquisitions. - What is Data Loss Prevention?
- Software hardware that prevents sensitive data
from accessing, using, sharing and leaking are
classified as data loss prevention. Aurora's
client requests CyberSecOp DLP and Cloud Access
Security Broker to manage data protection as a
service. It is critical for any business to
protect its data Aurora's Data Loss Prevention
DLP Services will help you protect your business
from any security breach. - How does DLP work?
- DLP can be approached in two ways
- Context analysis examines only metadata and other
document properties, such as headers, sizes, and
formats. - Content Analysis- Analyzing a
document's content to determine if it contains
sensitive information - Both of these solutions are incorporated into
modern DLP solutions. DLP first examines a
document's context to determine if it can be
classified. Content awareness is then used to
examine the document's content. - Content awareness can take several forms
3- Rule-Based- By using rules or regular
expressions, the content of a document can be
analyzed, for instance, credit card numbers or
social security numbers. Since it is easy to
configure and process, this filter is very
effective as an initial filter but is usually
combined with other techniques. - Dictionary- DLP solutions use dictionaries,
taxonomies, and linguistic rules to identify
concepts in unstructured data that indicate
sensitive information. This step will require
customization of the data. - Creating an "exact match of the Data" - a
fingerprint is made for the data and is searched
against a database dump of the same data. Though
this can affect the performance as it involves
the creation of a data dump. - File matching - created by generating a hash of
the entire file and searching for files with the
same hash. With the accuracy of this method,
there is a downside too, and this method cannot
be used for multiple versions. - Document matching on a partial basis - can
identify files with content that matches in
part, for example, a form that two different
users filled out. - Statistical Analysis- Machine learning algorithms
have been developed to use Bayesian analysis to
identify content that violates a policy or
contains sensitive information. - Data Loss Prevention As A Service (DLPAAS)
- Many teams are involved in Data Loss Prevention,
and all layers of technologies must be used to
prevent data loss effectively. Experienced DLP
integrators are necessary to implement these
4- technologies effectively. Most DLP initiatives
have failed due to poor planning, poorly
executed deployments, and badly configured
policies. - Across all leading data protection vendors, we
have decades of experience and knowledge. Our
DLP service portfolio includes- - Vendor-agnostic technology evaluation
- DLP Proof of Concept management
- Solution architecture and design
- Solution implementation and integration
- DLP program design and optimization
- The Benefits Of Data Loss Prevention (DLP)
- Tools like Data Loss Prevention (DLP) keep data
secure at rest, in transit, and use and alert
you if it's not protected adequately.
Nevertheless, an organization with thousands of
employees and millions of documents should
expect to receive a significant volume of DLP
alerts every day. Security operations teams can
easily get overwhelmed by the flood of alerts. - How do DLP and CASB work together?
- Cloud-based DLP solutions aren't always
available. When an organization migrates data to
the cloud, it should ensure that it follows the
same security policies as to when the data was
on- premise. Cloud Access Security Broker (CASB)
can be effectively integrated with Data Loss
Prevention (DLP) policies to extend DLP policies
into the cloud. Cloud Access Security
5Brokers monitor traffic flowing in and out of the
cloud and apply DLP policies to that
data. Aurora's DLP Services DLP experts at Aurora
are available to help with DLP services'
implementation, monitoring, and troubleshooting.
Data that is sensitive will first be defined and
classified based on its level of sensitivity.
Providing visibility into how data at rest and
data in motion is moving and what controls are
currently in place will be done by monitoring
both. During our assessment of your current DLP,
we will identify areas of improvement.