Detection without action is half the workflow. We file the takedowns.

A fraudulent domain detected and not removed continues hosting phishing pages. A fake app detected and left up continues stealing credentials. Managed Takedown is the action layer for BRP. Deepinfo's takedown service files removal requests directly with registrars, hosting providers, CDNs, app stores, social platforms, and search engines, and tracks each request to resolution.

WHAT THIS DOES

End-to-end takedown management, handled for you.

When BRP detects a fraudulent domain, fake app, social impersonation account, or search-abuse listing, the detection routes into the takedown queue. Deepinfo's takedown team files the appropriate removal request: registrar abuse complaint, hosting provider abuse report, CDN takedown, app store removal request, social platform brand-abuse filing, or search engine ad-policy violation report, and tracks the request through to resolution.

Each takedown carries status visibility (filed, acknowledged, in review, resolved, escalated) and per-target SLAs based on the destination's published response times. Repeat offenders get tracked, so the next abuse from the same registrant or developer routes faster. The workflow is built for the volume real brand-abuse defense requires.

HOW IT WORKS

Three layers of takedown execution.

Multi-target filing covers the parallel removals each abuse requires. Per-target SLA tracking sets and enforces expectations. Repeat-offender intelligence makes the next abuse from a known actor route faster.

Multi-target filing.

For a single fraudulent domain, removal often requires multiple parallel filings: the registrar (to suspend the domain), the hosting provider (to take down the site), the CDN (to invalidate caching), the SSL issuer (to revoke the certificate). Managed Takedown files all of them in parallel.

Per-target SLA tracking.

Different abuse channels have different response patterns. Major registrars typically respond within 24-48 hours; some smaller ones take a week. Major social platforms respond fast for high-confidence brand abuse; specific patterns take longer. Each takedown carries the expected SLA and gets escalated when missed.

Repeat-offender intelligence.

Bad actors recur. The same registrant fronts multiple fraudulent registrations; the same developer publishes multiple impersonation apps. Managed Takedown maintains the history, so the next abuse from a known repeat offender routes through pre-built escalation paths instead of starting from scratch.

WHAT IT SURFACES

What the takedown dashboard actually shows.

Active takedowns

Current takedowns with status (filed, acknowledged, in review, resolved, escalated).

Per-takedown timeline

Filing date, response date, resolution date for every takedown.

SLA performance

Per-target acknowledgment and resolution rates against published SLAs.

Repeat-offender records

Registrants, developers, and accounts with prior takedown history, supporting fast routing on recurrence.

Resolution evidence

Screenshots, registrar responses, and platform confirmations attached to each resolved takedown.

Aggregate metrics

Takedowns filed, takedowns resolved, and average resolution time per target type.

PART OF BRP

Takedown is the action half of every BRP detection.

Every detection sub-feature in BRP (Fraudulent Domain Monitoring, Social Media Monitoring, App Store Monitoring, Search Engine Monitoring) feeds Managed Takedown by default. Detection without action leaves the brand abuse running; Managed Takedown closes the loop on each. Organizations that prefer to file in-house can disable auto-routing and consume detections directly.

← Back to BRP

“Detection alone left us with a queue of fraudulent domains and fake apps that needed someone to file the actual notices. Having the takedown desk handle enforcement means our team's time goes to detection tuning, not paperwork.”

— Brand Protection Manager, Global Insurance Group
TAKE THE WORK OFF YOUR TEAM

See how takedowns flow from detection to resolution.

Book a demo. We'll walk through the takedown workflow with sample detections and per-target SLA expectations.

Request a demo