DMARCeye

Organizations that publish DMARC records receive raw XML aggregate and forensic reports about who is sending email on behalf of their domain. These reports are technical and hard to interpret, making it difficult for domain owners to know which senders are failing authentication, which issues actually matter, and what steps to take next toward enforcement. Without a clear view of email infrastructure, teams risk email deliverability problems and can struggle to safely tighten DMARC policy. Agencies managing DMARC for multiple client domains face this problem multiplied across many domains and reports.

DMARCeye automatically parses incoming DMARC XML reports and presents the results in a dashboard with clear metrics, statuses, and recommended next steps, rather than raw data. It includes smart alerts that filter noise and surface only issues needing attention, a DMARC policy management interface that avoids manual DNS commands, and an infrastructure overview showing every sender using the domain. Built-in AI features, including an AI Security Analysis that produces plain-language summaries and prioritized recommendations, and an in-app chat assistant called Bart, let users ask questions about their own domains and reports; the platform also supports connecting external AI tools like ChatGPT or Claude via MCP. Setup involves adding a domain, copying a single TXT DNS record, and receiving processed reports within about 24 hours. The company also offers a multi-tenant, white-labeled agency plan for managing multiple client domains with centralized billing, plus free standalone tools for DMARC, SPF, DKIM, and BIMI checks.