Message reads every inbound and internal message the way an analyst would: what is being asked, who is really asking, and whether that ask fits the relationship. It catches spear phishing, business email compromise and QR-code lures without a signature, scored before interaction.
A quarantined BEC attempt, with the route it took from the sender’s infrastructure to the tenant.
Payment redirects, credential prompts, requests for secrecy and artificial deadlines, not keyword lists.
Display-name mismatches, newly registered and lookalike domains, SPF, DKIM and DMARC posture.
Reply-chain reuse, injected replies, and suppliers that suddenly change banking details.
Destination analysis instead of reputation lookups alone.
Native filtering in Microsoft 365 and Google Workspace resolves the bulk of unwanted mail. What remains is the targeted fraction: written for one recipient, sent from infrastructure too new to be on a blocklist, often with no link or attachment at all. Generative AI made that fraction cheap to produce at volume.
Every app, AI tool and OAuth grant in your tenant, with scope-level risk per user. Risky grants revoked via the Workspace and 365 admin SDKs.
Dark-web credential monitoring, leak meta-analysis, identity exposure and domain-registration alerts. GA Q4 2026.
Per-user behavioral baselines. Anomaly scoring across data movement, access patterns, off-hours sessions.
Free for one account. Four minutes to connect Google Workspace or Microsoft 365.