Stream.Security CDR vs Vectra AI CDR for M365: Side-by-Side Comparison (2026)

Stream.Security CDR

Security teams managing sprawling multi-cloud and SaaS environments will get the most from Stream.Security CDR because its real-time cloud state modeling catches attacks that traditional SIEM misses by correlating endpoint, runtime, and cloud signals together. The tool covers all four major NIST Detect and Respond functions, with particular strength in DE.CM continuous monitoring through stateful UEBA and dynamic detection traps that reduce false positives compared to rule-based alternatives. Skip this if your cloud footprint is single-platform or minimal; the value compounds with deployment complexity, making it overkill for teams still running mostly on-premises infrastructure.

Vectra AI CDR for M365

Mid-market and enterprise security teams drowning in M365 alert noise will see the immediate value in Vectra AI CDR for M365, which uses behavioral analysis to separate signal from actual compromise across SharePoint, Teams, Exchange, and Azure AD. The platform covers over 90% of MITRE ATT&CK techniques and prioritizes entity-based threat correlation, meaning fewer false positives eating SOC bandwidth. Skip this if your team needs equal strength in incident response and recovery workflows; Vectra prioritizes detection and threat hunting over post-breach containment and remediation automation.