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Expert insights and practical guides to help you protect your brand from counterfeiting and unauthorised use.

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Brand Protection Notebook: Updating the Enforcement Workflow Terminology

Clear, consistent terminology is essential to effective brand protection. In this fifth instalment of the Brand Protection Notebook, we explore an updated framework for describing how results move through the enforcement process.

The framework distinguishes between **statuses**, which describe where a result currently sits within a dynamic workflow, and **actions**, which capture the specific events that cause a status to change. By standardising these definitions, brand protection teams can improve communication, reporting and workflow visibility across technology, operations, legal and client teams.

From detection and review through to enforcement and resolution, this approach provides a clearer way to track activity, measure progress and understand the current state of results within a brand protection programme.

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Brand Protection Notebook: The Dark Web

The Dark Web presents a complex and often overlooked challenge for brand protection teams. Hidden behind the Tor network, it can host unauthorised brand use, impersonation, sensitive information and data leaks. Yet monitoring this difficult-to-access environment can provide valuable intelligence, helping brands identify emerging risks, uncover connections between infringements and take early action to protect their reputation and assets.

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Brand Protection Notebook: Domain Searches

Discover how domain monitoring and intelligent filtering can uncover high-priority brand infringement across complex digital landscapes — even when brand names are short, generic or easily confused with unrelated terms.

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Brand Protection Notebook: AI-powered Result Scoring

AI functionality is a key component of SnapDragon’s brand protection technology platform, used to prioritise and categorise results for further analysis. Dealing with the large volumes of results collected via monitoring can be a major operational challenge, and therefore a robust process for identifying the highest-threat findings is essential for building efficiency into the analysis process.

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