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DMARC + SIEM: The Ultimate Power Duo for Email Security
DMARC + SIEM: The Ultimate Power Duo for Email Security

Learn how to integrate DMARC monitoring into your SIEM and security dashboards (Google, Microsoft, Splunk, etc.) to detect and stop email threats in real time.

Updated over a month ago

🔍 Why Does This Matter?

Think of your SIEM (Security Information and Event Management) system as the brain of your cybersecurity operations. It gathers data, detects threats, and helps your security team stay ahead of attacks.

Now, imagine adding DMARC monitoring to the mix. Suddenly, your SIEM isn’t just looking at network logs and endpoint data—it’s watching for email spoofing, phishing attempts, and unauthorized senders in real-time.

💡 Bottom line: If you care about securing your email, integrating DMARC with your SIEM is a game-changer.


🚀 Step 1: Choose a DMARC Monitoring Solution That Plays Well with SIEM

Not all DMARC solutions can integrate with SIEM platforms like Splunk, Microsoft Sentinel, or Google Chronicle. You need one that:

Provides API access for log ingestion
Formats DMARC data into structured logs (JSON, CSV, Syslog)
Supports real-time webhook alerts

Some top options include:

  • YourDMARC (because you deserve a hassle-free experience 😏)

  • Splunk DMARC apps

  • Microsoft Sentinel DMARC connectors

  • Google Chronicle logging API


🛠 Step 2: Convert DMARC Data for SIEM Compatibility

Here’s the issue: DMARC reports arrive in XML. 🥱

SIEMs, however, prefer structured logs (like JSON). So, before sending DMARC data to your SIEM, you need to convert it.

📌 What to extract from DMARC reports?
🔹 Sending source (source_ip)
🔹 Authentication status (spf_result, dkim_result, dmarc_result)
🔹 Policy applied (none, quarantine, reject)

Convert XML to JSON (Python Example)

pythonCopyEditimport xmltodict import json def convert_dmarc_xml_to_json(xml_data): dmarc_dict = xmltodict.parse(xml_data) json_data = json.dumps(dmarc_dict, indent=4) return json_data

This script transforms raw DMARC reports into JSON, making them readable for your SIEM.


🔄 Step 3: Send DMARC Data to Your SIEM

Now that your data is in the right format, it’s time to send it to your SIEM.

For Splunk

Use HTTP Event Collector (HEC) to push logs.

shCopyEditcurl -k "https://splunk.company.com:8088/services/collector" \ -H "Authorization: Splunk <your-token>" \ -H "Content-Type: application/json" \ -d '{"event": {"dmarc_result": "fail", "source_ip": "192.168.1.100"}}'

For Microsoft Sentinel

Use the Log Analytics API to ingest JSON DMARC logs.

For Google Chronicle

Push logs via Google Cloud Logging API for real-time visibility.


⚠️ Step 4: Set Up Automated Alerts & Responses

Now comes the fun part—making your SIEM do the work for you.

🚨 Set up alerts when:
❌ A new IP fails DMARC multiple times
📈 SPF/DKIM failures suddenly spike
🕵️‍♂️ An unknown sender impersonates your domain

Automate actions:
Blacklist the sender’s IP in your firewall
Notify your SOC team via Slack or Microsoft Teams
Trigger SOAR playbooks to block the attack in real-time


📊 Step 5: Build a Security Dashboard for DMARC Data

Your security team loves dashboards. So let’s give them a DMARC monitoring panel inside your SIEM:

🔹 DMARC pass/fail trends over time
🌍 Geo-location of spoofing attempts
🚨 Most impersonated email addresses & domains

Tools like Power BI, Grafana, and built-in SIEM dashboards help visualize email security threats like never before.


💡 Final Thoughts: Are You Ready to Level Up Your Email Security?

Instead of waiting for a weekly DMARC report, you can now:

Detect phishing attempts in real-time
Stop domain spoofing before it escalates
Automate responses to email fraud

Email security isn’t just about compliance—it’s about staying ahead of attackers.

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