Solutions

Product Security

Dismantle the resale network behind every listing

From trial credit harvest to grey market storefronts, Outtake maps the full operation and shuts it down before customers see it.

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Use cases

Unauthorized Resale & Grey Market Storefronts

Dismantle the operation behind every grey market listing, not just the storefront.

Free-Tier and Trial Credit Abuse

Spot the harvest pattern on day one, not after thousands of credits are gone.

Brand Damage from Fraudulent Access

Catch abuse before customers see it, not after support tickets pile up

How it works

Move from a single unauthorized listing to a complete map of the resale network behind it.

Surface Detection

You Define What Is Being Abused – Free tiers, trial programs, paid plans, access channels, partner ecosystems. Outtake learns your full product surface in minutes and knows exactly where revenue is leaking

Proactive Detection

Before the Customer Complaint – Most vendors find out about unauthorized resale the same way their customers do. Outtake monitors continuously across visual brand usage, pricing patterns, and infrastructure signals, catching what keyword tools miss before the first complaint lands

Network Dismantlement

Not Storefront Whac-A-Mole – Reactive takedowns clear individual listings while the infrastructure behind them keeps generating new ones. Outtake maps and dismantles the entire operation at once.

Detection Beyond Keywords

Context, Visual, and Infrastructure Signals – Unauthorized resellers don't always use your brand name. Outtake analyzes visual brand usage, pricing patterns, and infrastructure signals to catch what keyword tools miss.

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.

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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.”

Senior Counsel

Fortune 100 semiconductor company

“We demo a lot of platforms in this space and most are painfully complicated. Outtake is by far the most user friendly.”

Head of Threat Intelligence

Fortune 100 technology leader

“What took my analyst a full day, your platform finished in five minutes. I cannot think of enough good adjectives for this.”

Investment Director

Global private equity firm

FAQs

What can Product Security see?

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.

How fast does Product Security act?

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.

How does Product Security scale?

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.

How deep does Product Security go?

Outtake maps the abuse operation behind every listing. Connected domains. Shared hosting. Linked social accounts. Coordinated operator activity. Average campaign dismantles 12 or more resale channels together. The distribution network goes down. Not just the storefront. Pulling roots, not cutting branches.

How does Product Security fit with our existing security stack?

Product abuse intelligence flows into your SIEM, SOAR, and ticketing systems through Model Context Protocol. 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

CASE STUDY

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

CashApp