Product Protection
Unauthorized resale. Product abuse. Token fraud. Outtake shuts down the operation before it scales.
The Use Cases
Unauthorized Resale & Grey Market Storefronts
Dismantle the operation behind every grey market listing down to the infrastructure.
Free-Tier and Trial Credit Abuse
Spot the harvest pattern on day one, before thousands of credits are gone.
Brand Damage from Fraudulent Access
Catch abuse before customers see it, ahead of the support tickets.
Product Protection
How it Works
Move from a single unauthorized listing to a complete map of the resale network behind it.
Entity definition
You define the product that needs protection against abuse, free tiers, trials, paid plans, and access channels, and Outtake learns your full product surface in minutes.
Intelligent workflows
Use predefined or customer workflows to surface digital threats, and for full narrative intelligence of them.
Detection Beyond Keywords
Catch resellers who never use your brand name. Outtake analyzes visual brand usage, pricing patterns, and infrastructure signals to find what keyword tools miss.
Network Dismantlement
There’s no need to play whack-a-mole. Outtake maps the entire operation and takes it down at once. Before the infrastructure spawns more.
See Product Protection in action
See how we take a single unauthorized listing, map the operator network behind it, and take down every connected storefront. Resale rings. Harvested credits. Cloned accounts. Before customers see it.
> launch_demo
all_systems: nominal
Deploy the Fleet.
Here's what our clients are saying
“Some of these matters have been lingering since 2024. Strong results here means huge value we can relate back to the business.”
“We demo a lot of platforms in this space and most are painfully complicated. Outtake is by far the most user friendly.”
“What took my analyst a full day, your platform finished in five minutes. I cannot think of enough good adjectives for this.”
Frequently Asked Questions
> Outtake_agent
Every surface where your product is being sold without your permission. Domains. Social channels. Grey market platforms. Reseller sites. Dark web markets. Forums. Detection covers text, visual brand usage, pricing patterns, and infrastructure signals. The unauthorized storefront wearing your logo without naming you. The forum thread reselling harvested API tokens. The fraudulent app monetizing free tier abuse. All visible.
Average time from abuse pattern detection to full distribution network takedown is 9 hours. Average revenue leakage stopped per campaign is $2.3M. Coordinated takedowns execute across every connected node simultaneously, not one listing at a time. Detection runs continuously. Remediation runs autonomously. No ticket queue. No analyst gate. Priority SLAs back time-critical cases.
Millions of autonomous agents monitor every surface where unauthorized resale forms. Coverage expands across your full product portfolio without adding analyst headcount. New product. New region. New abuse vector. The fleet absorbs it. AI generated output has high resale value. The incentive grows. The fleet keeps pace.
Outtake maps the abuse operation behind every listing. Connected domains. Shared hosting. Linked social accounts. Coordinated operator activity. When a case warrants escalation, Recon Agent maps the full operation. Average campaign dismantles 12 or more resale channels together. The distribution network goes down. Not just the storefront. Pulling roots, not cutting branches.
Product abuse intelligence and structured digests flow into your SIEM, SOAR, and ticketing systems through Model Context Protocol, with API access for teams that build their own. Product, security, and finance teams get visibility into revenue leakage and brand exposure in the tools they already run. Every abuse network dismantled enriches the Threat Graph for the next wave. Outtake covers what your stack was never built to see.
Related Resources
Scicomm Media
The Challenge
Stopping social media impersonation attacks during the podcast's explosive growth
The Result
Autonomous detection and takedowns that neutralize impersonations before they damage the brand
CashApp
The Challenge
Fighting fraud on video-first platforms without scalable coverage
The Result
Detection that mirrors how analysts think without needing to watch every video manually
AppLovin
The Challenge
Fending off modern social engineering attacks during moments of peak publicity
The Result
Always-on protection that finds and zaps digital impersonation before it causes real harm