Information security teams protect the business and its data by reducing the probability that something bad will happen, or minimizing the damage when something bad does happen. This is especially important when it comes to sensitive data (personal, proprietary), as the damage can be far greater from a customer trust or regulatory perspective.

We help teams:

• Effectively reduce risk with full, objective visibility into your data, where it lives, and who can access it

• Identify at-risk data and orchestrate remediation actions through native integration with source systems

• Automatically remediate data security issues with native integrations, like removing open access to sensitive data in OneDrive, redacting sensitive data in Salesforce, or deleting sensitive files from file shares

The more data you have, the bigger the target on your back and the bigger the bill for its storage. Best practice is to only keep necessary data (for legal, regulatory, or business purposes), and delete data you don’t to reduce overall risk and cost.

We help teams:

• Identify data that is kept outside of best practice or regulatory timeframes

• Find redundant, obsolete, and trivial (ROT) data across your data estate so you can remove it from your data footprint

• Reduce the attack surface of your data, you can reduce your risk in the event of a breach

When transferring data to the cloud/between clouds, you should only move or migrate relevant and necessary data to maintain good hygiene, reduce your attack surface, and save money.

We help teams:

• Ensure that the data being moved is necessary (not redundant, obsolete, irrelevant, or outside of retention guidelines)

• Reduce the time needed to perform the migration

• Save money in the form of reduced storage and bandwidth costs

• Reduce data risk by ensuring sensitive data is protected before transfer or removed from your data ecosystem

Trust is a competitive advantage. OneTrust Data Discovery helps your teams respond to privacy requests, like DSAR, right to know, or right to be forgotten, quickly, easily, and within time limits of different regulations. Easily identify data drift from established policies in Data Maps for usage, storage, and retention.

We help teams:

• Leverage built-in privacy and regulatory intelligence

• Use discovery technology to accurately discover, inventory, and classify sensitive and regulated data.

• Comply with privacy laws and quickly respond to requests for information 

Sensitive data should never be stored in a file with open access permissions. Over-privileged access is a key risk to data that can be reduced by only sharing sensitive data with people who are authorized or granted specific permissions. 

We help teams:

• Automate the discovery of sensitive data with open sharing access to alert data governance teams or data owners 

• Trigger automatic workflows to disable sharing