Security Managed Services Engineer (L1)
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JD for your reference on Data Classification(DC).
1) Defined incident response processes based on detected
threats.
2) Design the integration of DC with incident response processes and workflows
3) Use cases to be configured (Compliance & Security related)
4) Create and configure Data Classification policies.
5) Edit and tune predefined policies
6) List of reports, dashboards to be configured
7) Weekly update to LIC on implementation status
Key Responsibilities
The candidate should assess the existing endpoint security infrastructure and identify any gaps or vulnerabilities.
Study and Creation of data flow maps to identify and categorize / develop inventory of Sensitive data, Personally Identifiable Information (PII) and Personal Health information (PHI) Data - Data in transit, Data at rest, Data in process.
Detailed Scoping and Interpretation of PII (Personally Identifiable Information) and Personal Health information (PHI) data and its classification as “Sensitive Data”.
Review and analysis of processes, procedure, products, and service that are involve in the collection, processing and storing of PII (Personally Identifiable Information) and Personal Health information (PHI)data.
Study is to be conducted using applicable templates and complete documentation which is to be submitted. The departments to be covered are IT/BPR, IT/SD, CRM-PS,CRM-Claims, Actuarial, NB ,P and GS, Investment ,Personnel, Office Services, and other departments holding sensitive data
The vendor should deploy DC agents on endpoints within the organization's network.
The solution must be GDPR, DPDP, IRDAI compliant
The candidate should enable the classification of Word, Excel, and PowerPoint documents from within Microsoft Office.
The candidate should apply meta data tagging for various file formats like document, excel, ppt, pdf, image files, text files etc.
The candidate should be capable of integrating with OpenOffice to classify documents being created with OpenOffice.
The candidate should enable user can define different Classification labels like public, internal, confidential, restricted etc.
The candidate should be able to label the documents in Headers/Footers with a preselection capability for either header or footer or both.
The candidate should trigger classification for document on Save, Save As, print etc. and should be configurable using a management mechanism.
The candidate shall have capability to classify multiple documents in one go.
The candidate should allow policies which are based on a combination of keywords and regular expressions.
The candidate should have Manual, Automated and Suggested Classification feature.
The candidate should have Ability to automatically detect PII types in email body attachment and subject based on classification policy.
The candidate should provide real-time alerts for anomalies that could indicate potential threats.
The candidate should ensure the compatibility with other security systems, such as (but not limited to) SIEM, incident response tools, etc.
The candidate is expected to deliver reports at periodic intervals as per LIC’s requirements.
The candidate should re-deploy the agent as and when there is a change in the infrastructure or the operating systems
Workplace type:
On-site WorkingAbout NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune
Global 100. We are committed to accelerating client success and positively impacting society through
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
application services. Our consulting and industry solutions help organizations and society move
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
year in R&D.
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