Vectra AI CDR for AWS vs Vectra AI CDR for M365: Side-by-Side Comparison (2026)

Vectra AI CDR for AWS

Mid-market and enterprise teams managing AWS environments with sprawling identity and data access need Vectra AI CDR for AWS to stop spending cycles triaging false positives. Its machine learning triage cuts alert noise by 80 percent or more while tracking over 90 percent of MITRE ATT&CK techniques, and the integration with AWS VPC Traffic Mirroring gives you visibility into Nitro instances that most cloud detection tools miss entirely. Skip this if your threat hunting team is comfortable with high-volume alert feeds or if you're still standardizing on a single cloud provider; the real payoff comes when you're juggling AWS, Azure AD, and M365 simultaneously.

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.