Forcepoint AI-Native DSPM vs Qohash Qostodian: Side-by-Side Comparison (2026)

Forcepoint AI-Native DSPM

Mid-market and enterprise security teams drowning in unclassified data across cloud and on-premises will find real value in Forcepoint AI-Native DSPM because its AI Mesh technology actually catches shadow data and over-permissioned access that rule-based classifiers miss. The platform covers ID.AM and ID.RA thoroughly, mapping both what data exists and who can reach it, which is where most DSPM implementations fail. Skip this if your data footprint is predominantly SaaS-native or if you need remediation automation to do the heavy lifting; Forcepoint excels at visibility and risk surfacing, not at the orchestration layer.

Qohash Qostodian

Mid-market and enterprise security teams drowning in unclassified data sprawl will find real value in Qohash Qostodian because it discovers and tracks sensitive data at the edge without moving it into a separate platform, cutting deployment friction and compliance risk. The flat-rate, employee-count pricing and multi-day rollout across the organization make this realistic for teams with limited budget and attention span. Skip this if you need deep integration with your SIEM or incident response playbooks; Qostodian excels at the front-end asset discovery and exposure insights (ID.AM and DE.CM) but doesn't own the response layer.