Datadog Sensitive Data Scanner vs Fortra DLP: Side-by-Side Comparison (2026)

Mid-market and enterprise teams already running Datadog observability should pick Sensitive Data Scanner because it catches credential leaks and PII in logs during ingestion, before they land in storage or leave your infrastructure. Real-time redaction integrated directly into your log pipeline means no separate scanning appliance to manage. Skip this if your logs don't route through Datadog or if you need to scan data at rest across disconnected storage systems; the tool is purpose-built for in-flight detection, not retrospective vault audits. Mid-market and enterprise security teams with hybrid infrastructure need Fortra DLP primarily for its database record matching capability, which catches sensitive data in structured formats that pattern-based DLP tools routinely miss. The platform covers all three NIST Data Security pillars,classification, monitoring, and asset management,across endpoints, networks, and cloud simultaneously, a rare combination at this price point. Skip this if your organization runs almost entirely on SaaS; the agent-heavy architecture and on-premises console overhead favor companies that still operate meaningful on-prem infrastructure.

Based on our analysis of core features, integrations, company size fit, deployment model, here is our conclusion: