Discovery
SaaS, endpoints, and cloud stores that matter.
New in August: Password Manager ratings updated and expanded Read more
Independent reviews. Real tests. Smarter security decisions.
Business security
Protect sensitive data by knowing where it lives and who approves exceptions. Tooling follows classification clarity, not the reverse.
Quick answer
Protect sensitive data by knowing where it lives and who approves exceptions. Tooling follows classification clarity, not the reverse.
SaaS, endpoints, and cloud stores that matter.
Business-aware rules and exception owners.
Email, cloud sync, endpoints, and browsers.
List sensitive data types and the systems that store them.
Integrations, residency, response model, and budget band.
Score vendors against the same worksheet; keep ratings honest.
Admin effort, false positives, restore or response drills, and support quality.
Data security programs classify sensitive information, control sharing, and detect exfiltration across SaaS, endpoints, and cloud storage. DLP projects fail when classification is vague and business exceptions have no owner.
Begin with the data types that create regulatory or contractual pain: customer PII, payment data, source code, and privileged documents. Map where that data lives before buying another monitoring plane.
Compare discovery accuracy, policy UX for business approvers, channel coverage, and how the product behaves for remote devices offline. Integration with identity labels and MIP-style systems can reduce duplicate tagging.
Use the checklist to record data locations and owners, then return here as comparative research expands.
Capture integrations, staffing, and compliance constraints before vendor calls.
Use the checklist or return to the business security hub.