ID.AM-07.135

Does your organization have a process to continuously discover and analyze ad hoc data to identify new instances of sensitive data types?

Explanation

This question assesses whether your organization actively monitors and analyzes data across systems to identify previously unknown or newly created instances of sensitive information (like PII, financial data, or intellectual property). Continuous discovery helps prevent data sprawl and ensures that all sensitive information receives appropriate protection controls regardless of where it resides or when it was created. Evidence could include documentation of your data discovery tool configuration, scheduled scan reports, data classification policies, or screenshots of your data discovery dashboard showing regular scanning activities and results. Ideally, you should be able to demonstrate how newly discovered sensitive data is subsequently classified and protected.

Implementation Example

Continuously discover and analyze ad hoc data to identify new instances of designated data types

ID: ID.AM-07.135

Context

Function
ID: IDENTIFY
Category
ID.AM: Asset Management
Sub-Category
Inventories of data and corresponding metadata for designated data types are maintained

ResponseHub is the product I wish I had when I was a CTO

Previously I was co-founder and CTO of Progression, a VC backed HR-tech startup used by some of the biggest names in tech.

As our sales grew, security questionnaires quickly became one of my biggest pain-points. They were confusing, hard to delegate and arrived like London busses - 3 at a time!

I'm building ResponseHub so that other teams don't have to go through this. Leave the security questionnaires to us so you can get back to closing deals, shipping product and building your team.

Signature
Neil Cameron
Founder, ResponseHub
Neil Cameron