Strac

Strac represents the newest architectural direction in this comparison, positioned closer to modern data security posture management than traditional CASB, using AI-based classification to detect and automatically redact sensitive PII, PCI, and PHI data across SaaS applications like Slack, Google Workspace, and Microsoft 365. The fully API based, no-code deployment is genuinely the fastest in this comparison, with customers reporting operational setup in hours, and the accessible pricing puts real sensitive data protection within reach of SMB and mid-market organisations that legacy enterprise CASB pricing has historically excluded.

The honest trade-off is scope. Strac is not attempting broad shadow IT discovery across thousands of cloud services or any SASE convergence story, and the application catalog is narrower than established CASB vendors by design. There is also no Gartner Magic Quadrant presence yet given the company's recent founding.

The verdict: Strac is right for SMB and mid-market organisations wanting fast, accessible sensitive data detection and automatic remediation across their core SaaS applications. Enterprises needing broad shadow IT discovery or SASE convergence should evaluate Netskope or Zscaler instead.

Last reviewed: September 2026

Strongest: Data protection

Watch out for: Cloud analytics

Best for

SMB and mid-market organisations wanting fast, accessible sensitive data detection and automatic remediation across a core set of SaaS applications like Slack, Google Workspace, and Microsoft 365.

Not suitable for: Enterprises needing broad shadow IT discovery across thousands of cloud services or SASE and SSE convergence in one platform.