brand protection software

NFT & WEB3 FRAUD
Brand Protection Solutions

THE NEW FRONTIER FOR ONLINE FRAUD

The rapid emergence of Web3, Metaverse, new Social Media platforms and most notably NFT marketplaces, create new attack vectors.
01.
NFTs
Bad actors are creating NFTs that infringe on Trademarks, Copyright and IP with the goal of turning a quick profit by selling these unauthorized works across a broad range of NFT marketplaces including Opensea, Rarible, Magic Eden and dozens of others.
02.
Web3
Fraudsters aren’t stopping in the NFT space. They are using brand infringing content across the most popular Web3 communities including Discord, Twitter and Telegram to dupe unsuspecting consumers into thinking they are engaging with your brand. In reality? These bad actors are violating your consumers trust, gaining access to Web3 wallets to siphon off credentials and other personal information.
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Tracer protects against NFT & Web3 Fraud

Tracer® Protect powered by TracerAI and the Tracer Platform supports dozens of solutions by automating the detection of infringing content across the digital universe. Tracer Protect delivers the most efficient, classification and scoring of infringements, rapid visual correlation of bad actor networks, and the most accurate enforcement of customer’s directives in the industry.
Leading the industry with the first Human-in-the-Loop AI platform for Brand Success, Tracer Protect allows customers to define and customize detection criteria, deploy machine learning models to fit unique brand directives and create enforcement rules that can be automated for scale.

PRESERVING TRUST. ELEVATING BRANDS.

The Tracer platform utilizes Human-in-the-Loop (HITL) AI, combining the sophistication of AI with the ingenuity of exceptional engineers to protect the world’s leading brands. Continuously capturing and filtering data from thousands of different global digital sources, TracerAI delivers the highest quality of detections, analysis and action at scale.
let’s get started.
the bad actors already did.