Automated Phishing Triage & Email Forensics Engine
Enterprise email security operations & incident response
- Reported emails used to mean an analyst opening the raw source and manually reading SPF/DKIM/DMARC verdicts for every ticket in the queue, a repetitive first pass that ate analyst time without making triage any more consistent.
- Automated extraction and parsing of raw .eml/.msg artifacts for phishing investigations.
- Header validation checks for SPF, DKIM, and DMARC alignment to surface spoofing vectors, flagging on alignment rather than raw pass/fail so convincing spoofs do not slip through.
- Webhook integration with KnowBe4 Phish Alarm Button (PAB) and PhishER for automated triage routing, so an analyst opens a ticket with header verdicts and indicators already attached instead of a blank email.
- AI-assisted triage workflow built with Microsoft Copilot Studio, Power Automate, and custom Python microservices; the model surfaces a recommendation and reasoning for ambiguous cases, a human still signs off on the close/escalate call.
Outcome — Published outcome: triage time for a reported email dropped from minutes to under thirty seconds per ticket, with a consistent verdict format across analysts.
- Python
- Power Automate
- Microsoft Copilot Studio
- KnowBe4 PAB/PhishER