Where Code, Data, Secrets, and Security Converge
Application security isn’t just about scanning code — it’s about understanding the data that flows through that code.
Secrets in repos. Sensitive information in logs. Misconfigurations in IaC.
Developers move fast, and it’s easy for subtle data risks to slip through unnoticed.
At BigID, we wanted a more data-aware approach to application security — one that didn’t just detect vulnerabilities, but also discovered sensitive data embedded in the development lifecycle itself.
In Episode 6 of Customer Zero Chronicles, Diogo Raposo, Application Security Lead, shares how BigID’s data intelligence helps developers and security teams catch issues earlier, fix them faster, and prevent data exposure before it reaches production.
This episode is a look at how data discovery strengthens application security from the inside out.
What We Uncovered
By running BigID across our own code and application environments, we uncovered:
- Secrets and credentials that needed tighter controls
- Sensitive data embedded in logs and API interactions
- IaC configurations that looked fine on paper but posed hidden data risks
- How custom classifiers helped detect nuanced, domain-specific patterns
- How automated developer alerts reduced remediation time significantly
We learned that many high-impact risks aren’t coding issues — they’re data issues hiding inside code workflows.
What You’ll See (Without Spoilers)
In Episode 6, you’ll get a look at:
- How sensitive data is surfaced across repos, logs, and branching workflows
- How developers receive automated, contextual alerts through JIRA
- How classifiers help detect organization-specific secrets
- How continuous discovery strengthens the entire SDLC
- How data awareness shifts appsec from reactive to proactive
If you’ve ever tried to scale AppSec in a fast-moving engineering environment, this one will hit close to home.
Watch Episode 6: Application Security with BigID →
Author
