Check incoming emails for spoofing and IP reputation risks

Analyzes an email's headers to flag spoofing signs and check the sender's IP reputation automatically.

How the work actually flows

It branches. Every path runs; all paths must finish before it continues.

Pattern: Parallel Split (2) ยท Synchronisation (3)

flowchart TD trig(("email header submitted for review")):::human s0["combine findings into report"]:::task s1["return risk report"]:::svc trig --> s0 gx{"+ which checks to run"}:::gate s0 --> gx p00["check ip reputation"]:::task gx -->|"ip check"| p00 p10["evaluate spf dkim dmarc"]:::task gx -->|"auth check"| p10 jn{"+ checks completed"}:::gate p00 --> jn p10 --> jn jn --> s1 out[/"risk report with reputation and auth results"/]:::out pay{{"faster phishing detection"}}:::pay s1 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepAn outside serviceA personEvery pathWaits for allResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Email AutomationAPI & Webhook Integration
Connects
IPQualityScore

The problem it solves

Phishing and spoofed emails are hard to catch just by looking at a message, and manually checking headers for red flags takes real security know-how. You need a fast way to know if an email is trustworthy.

Who it fits

IT and security teams screening suspicious incoming emails.

How it works

  1. Email header data is submitted for analysis
  2. Sender IP addresses are checked for fraud and abuse history
  3. SPF, DKIM, and DMARC authentication results are evaluated
  4. A combined risk report is returned with the findings
What you get

Phishing attempts caught before anyone clicks

Incoming emails are automatically checked for spoofing and sender reputation risks, giving your security team a clear risk report.

What you get

A risk report showing IP reputation and authentication pass or fail results for an email.

What you need

An IP Quality Score API key and a system that can receive webhook requests.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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