Empanelled Firm
Company
Findings Reporting
Data Types & Locations
A structured approach to locate agreed sensitive data types across agreed locations.
Every engagement reports masked results for agreed data types and locations, never full sensitive values.
Extend data discovery into PCI DSS compliance, privacy assessment and data localization.
Data discovery shows where sensitive data actually lives so you can protect or remove it.
Sensitive data locations confirmed, not assumed.
Unneeded copies found and removed.
Supports keeping systems out of PCI DSS scope.
Evidence for PCI DSS, DPDP and privacy reviews.
Targeted discovery. Masked reporting. Findings your team can act on safely.
How organizations have used QRC data discovery scans to find and reduce sensitive data exposure.
Practical guides and tools to help you find, reduce and protect sensitive data.
A vulnerability assessment is a systematic approach to identify, quantify, and prioritize security vulnerabilities
In an increasingly interconnected digital landscape, Application Programming Interfaces (APIs) play a crucial role
Application Layer: How to Safeguard from Any Cyber Attacks The application layer of the OSI model is the topmost layer…
Network Layer: How to Safeguard from Any Cyber Attacks The network layer of the OSI model is responsible for routing…
In today's rapidly evolving technological landscape, security testers and penetration testers
Creating a secure organization is a complex and vital aspect for any business or organization, that requires a
The scan searches for the data types you agree, such as card numbers, PII, US Social Security numbers and Aadhaar numbers, using patterns and validation checks.
No scan can guarantee that. Results depend on the agreed locations, file types, access and patterns. Validation reduces false positives, and uncovered locations are listed as limitations.
Agreed file servers and shares, databases, endpoints and cloud storage, subject to access and supported formats confirmed during scoping.
No. Findings report locations with sensitive values masked, and working data is handled under agreed confidentiality controls.
Define your data types and locations, uncover unexpected data, and move forward with a clear clean-up plan.