Finding, Classifying, and Protecting Critical Data Across Cloud + SaaS
Cloud environments evolve constantly — data moves, files get shared, permissions drift, and new apps appear faster than policies can keep up. Security teams are expected to instantly identify risk, restrict access, e remediate exposures without adding friction for the business.
At BigID, we needed a more modern approach — one that combined continuous discovery, automated classification, exposure detection, and action entre AWS, GCP, Azure, and the SaaS apps where teams work every day.
In Episode 5, Pedro, BigID’s Cloud Security Manager, walks through how we use our own DSPM e Cloud DLP capabilities to stay ahead of cloud data risk in real time across a constantly expanding footprint.
This episode is a practical look at what cloud data security looks like when discovery and remediation live side by side.
O que descobrimos
When we applied BigID to our own cloud environments, we uncovered:
- Sensitive data stored in locations that weren’t configured as securely as expected
- Files that had been duplicated or shared more widely than intended
- Public links and permissions that expanded faster than teams realized
- Patterns of risky access that weren’t visible through traditional tooling
- How DSPM and Cloud DLP reinforced each other for faster remediation
The biggest learning?
Cloud data risk moves quickly — but it becomes manageable when you finally see it all in one place.
O que você verá (sem spoilers)
Episode 5 walks through:
- How risky cloud assets surface immediately in a unified view
- How sensitive data exposure is identified across SaaS and cloud storage
- Como suspicious activity is flagged before becoming an incident
- How risk-based insights drive remediation in minutes
- How teams reduce exposure without slowing down collaboration
If your cloud footprint expands faster than your visibility, this episode will feel very familiar — and very relevant.
Watch Episode 5: Securing Cloud Data →
Autor
