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Manage Auto-Blocked IPs with Auto Labels | Blockify

Jennifer Tran
Auto labels in Block list

Managing an expanding fraud prevention list should not require guesswork. For high-volume Shopify merchants, an active block list is vital for defense, but without clear source tracking, it quickly turns into an unmanageable database. When manual entries and automated rules share identical attributes – the same IP format, the same block action, and blank notes – store operations stall. Risk managers and store owners often hesitate to delete stale rules out of concern that they might inadvertently remove essential store protection.

This hesitation causes block lists to balloon over time, sometimes accumulating thousands of unverified entries. Blockify Fraud Filter now solves this audit bottleneck with Auto labels, giving merchants instant visual attribution for every automated IP block directly within the Block list table.

Auto-Block Attribution: How Auto Labels Streamline Blacklist Audits

When reviewing security settings in your store admin, immediate rule identification is necessary to keep store operations lean. The new Auto label feature introduces direct source distinction so merchants can differentiate between custom store policies and automated risk interventions at a glance.

  • Instant Visual Tagging: View the Auto label directly on the rule line to identify system-generated IP blocks without opening rule details.
  • Dedicated Source Notes: Automated rules carry the fixed note Added automatically by Auto-block visitors placing fraud orders for quick reference.
  • One-Click Filtering: Filter the entire Block list by the system note to isolate all automated entries at once.
  • Persistent Attribution: Edit notes or modify rules freely – the Auto label remains affixed to preserve original source history.
  • Clean Historical Records: Pre-existing rules remain unlabelled to ensure historical data is never assumed or misidentified.

Fraud Prevention Governance: Why Blacklist Transparency Protects High-Volume Merchants

Automating risk mitigation is critical for high-growth e-commerce, but automated actions must remain auditable to prevent operational clutter and protect customer traffic.

  • Safe Rule Cleanups: Prune outdated manual rules with confidence, knowing automated defenses against bad actors stay intact.
  • Clear Automation ROI: Confirm at a glance that automated rules are actively intercepting high-risk shoppers.
  • Zero Database Clutter: Eliminate blacklist bloat and maintain a well-organized, auditable security log.

Enterprise Setup: Activating Auto-Block and Filtering Rules in Blockify

Fraud order analysis

Deploying and auditing automated fraud IP blocking requires just a few straightforward steps within your Blockify dashboard.

  1. Access Fraud Order Analytics: Open the Blockify app on your Enterprise plan (or Shopify Plus for high-risk checkout IPs) and go to Fraud order analytics.
  2. Enable Auto-Block: Turn on Auto-block visitors placing fraud orders to automatically blacklist incoming high-risk order IPs identified by Shopify data. (Note: Past orders are not added retroactively, and auto-blocking pauses upon plan downgrade).
  3. Audit via the Block List: Navigate to your Block list, identify the Auto label, or filter by the automated note to review rules in bulk.
Added automatically by Auto-block visitors placing fraud orders

Take control of your store’s security audit today. Open your Blockify Fraud Filter dashboard to review your Block list, audit your active rules, and activate automated fraud blocking on the Enterprise plan.

Jennifer Tran AUTHOR

As the Co-founder & CPO of Blockify, I'm obsessed with solving this pain point. We build intelligent security tools that don't just block bad actors - they protect and unlock revenue. By automating fraud prevention with precision, we help merchants stop financial leaks, eliminate the cost of manual reviews, and reduce the fear that leads to rejecting good customers.

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