Frequently asked questions

Most counterfeiters and fraudsters rely on burner accounts. When one listing or profile is Remove.techd, they simply create another with a new email or username. Traditional detection tools struggle to link these accounts together.

By introducing identity-layer protection, Remove.tech:

• Ties accounts back to a persistent identity signals
• Recognises when the same person is trying to return in a slightly different form 
• Prevents “whack-a-mole” enforcement where the same offender appears again and again

This reduces long-term enforcement workload and weakens the business model for counterfeit operations that rely on easy account creation.

Remove.tech uses selling patterns to confirm that there is one real human behind each participating listing or account. 

This approach is particularly valuable for marketplaces, platforms, and brands that want to raise identity standards without creating onboarding barriers.

Remove.tech anchors each account to one or more trusted identity signals (for example, a device, phone number, or other validated identifier). If the same person attempts to create a second or third account to continue abusive behaviour, Remove.tech can:

• Recognise the identity match
• Flag or block the new account at creation
• Alert brand protection or trust & safety teams to a repeat offender

This allows brands and platforms to set policies such as “one verified identity, one seller account”, significantly reducing fraud and enforcement overhead.

Remove.tech follows principles of data minimisation, purpose limitation, and compliance with major privacy frameworks such as GDPR and CCPA. In practice, this means:

• Only collecting the signals necessary to achieve identity assurance and abuse prevention
• Avoiding raw biometric storage or full personal profiling
• Providing clear data-flow documentation for legal and compliance teams
• Offering deployment models and integrations that respect local regulations

Brands can improve trust and safety without compromising their own privacy posture.

No. Remove.tech is deliberately designed to be privacy-respecting. It does not store raw biometrics, ID document scans, or unnecessary personal data. Instead, it works with minimal, abstracted identity signals that are sufficient for fraud prevention and enforcement, but do not create new data security risks for brands.

This makes Remove.tech suitable for organisations that need strong identity assurance without taking on the regulatory or reputational risk of storing sensitive identity data themselves.

Identity verification makes it significantly harder for bad actors to hide behind throwaway accounts. For brands, this translates into:

• Fewer counterfeit or scam sellers at the top of funnels
• Greater accountability from sellers and partners
• Better ability to trace the source of abuse or IP infringement
• A safer environment for genuine customers

When platforms enforce strong identity standards, the entire ecosystem benefits – including brands, consumers, and legitimate sellers.

Content-only detection focuses on spotting problematic listings, posts, or websites. It can be powerful, but it treats each incident as separate. Identity-based protection adds a missing layer by asking: “Who is doing this, and what else are they doing?”

The benefits include:

• Collapsing dozens of incidents into one actor-centric case
• Preventing the same person from reappearing under new guises
• Giving legal teams better evidence for escalation
• Reducing long-term operational cost by solving root causes, not just symptoms

In other words, identity-based protection makes all other brand protection activities more effective.

Yes. Remove.tech is built to prevent exactly this type of behaviour. Bots and burner accounts typically rely on:

• Low-friction, anonymous registration
• Disposable emails and phone numbers
• The absence of real identity checks

Remove.tech makes it much more difficult for automated systems or bad actors to create large numbers of accounts. This, in turn, limits the scale of abuse, spam, and fraud that can occur on a platform or within a brand ecosystem.

Yes. Remove.tech is built to sit alongside and enhance your existing stack rather than replace everything. It can integrate with:

• Brand protection platforms and monitoring tools
• Legal case management systems
• Incident/ticketing platforms used by trust & safety or customer support teams
• Internal dashboards and BI tools

Data can be shared via API, exports, or custom integrations, so teams can work where they already are while benefiting from identity-layer intelligence.