The Trademark Watchdog: How AI Is Monitoring Brand Infringement Online

Introduction

Imagine yourself as the brand manager of an upcoming fashion company. Over the course of years, you and your company have invested significant effort and finances into building a trademark that people recognise. And then you notice that your trademark has been hijacked: numerous listings with your logo on various online marketplaces; squatters using your brand's domain; counterfeit merchandise that cannot be distinguished from genuine products by even the trained eye. But by the time you realised that your trademark was being used, the harm had already been done. Unfortunately, such situations occur regularly and to many brand managers all over the world.

Traditionally, protecting trademarks was always a challenge that required timely actions from its owners. However, modern digital technologies have made this process almost impossible for many brand managers without some form of help. Infringement can be found on any platform with millions of posts, listings, domains, etc. published daily and there is virtually nothing that can be done about it. Fortunately, artificial intelligence can become the answer to this issue and dramatically change the approach to protection in many cases.

The problem is enormous on a global scale. In accordance with statistics from the OECD, the global economy loses around $467 billion each year due to the counterfeit and pirated products market, which equates to about 2.3 percent of all global trade volume. Given the fast development of online marketplaces, social commerce, and counterfeits manufacturing industry, this value is expected to have increased greatly ever since.

It becomes evident that current solutions for trademark enforcement are no longer sufficient. Periodic manual checking and basic keywords alert systems cannot provide real-time monitoring anymore. It is time for brand owners to enter the new era of AI-based trademark enforcement. Advanced AI algorithms make brand management much more effective nowadays. They provide constant monitoring of numerous listings on e-commerce websites, social networks, domain names, and even the dark web. Using machine learning, computer vision, and natural language processing technologies, such algorithms detect counterfeit trademarks, including not only direct copies but also similar trademarks, dupes, and fakes created with the help of artificial intelligence.

Moving from a reactive to proactive mode of protection reflects a major milestone reached by brand protection. Where huge manpower was needed and months spent in the process, it can all be done faster, bigger, and more accurately. In 2026, artificial intelligence technology becomes a critical component in the trademark protection arsenal. Although AI technologies offer incredible features, they operate best with the help of people who can think strategically.

The Growing Problem: Online Trademark Infringement Today

It has become something that is far too complicated to handle through regular monitoring measures. Counterfeiters have resorted to using global online marketing channels, social networking websites, and domain providers in a very quick and sophisticated manner.

They post their fake advertisements simultaneously on many websites, resorting to the “dupe” strategy, posting items which appear similar but not identical to trademark brands. Many counterfeiting groups also make use of automated programs and AI to develop their product images, descriptions, and fake product reviews.

The results are catastrophic. Brand revenues are at stake, as are the safety of consumers through the risk of using substandard or harmful products. The impact on the reputations of brands and their consumer base may even prove to be costlier than immediate monetary losses. Small and medium enterprises especially find it difficult to monitor the situation regularly due to resource constraints.

"The internet never sleeps, and neither should the brand protection strategy. Here, the question is no longer whether to use AI, it is how quickly one should deploy it."

This rapid growth in complexity and scale has called for urgent solutions to handle the situation. Regular periodic monitoring and searches through trademark watches are simply not enough anymore in this highly automated world. And that is why the role of AI is becoming crucial in such cases.

How AI Keeps Watch

The technology of artificial intelligence is revolutionizing the process of brand protection against trademark infringement by making it entirely proactive and automated rather than manual and reactive. The older method of trademark monitoring involved conducting searches at regular intervals with exact keyword matching and issuing basic alerts. These practices often led to the detection of even minor instances of trademark infringement days after the actual problem occurred. In sharp contrast to this, the current technology uses the AI-based system that constantly monitors millions of online listings around the clock.

1. Large-Scale Web Crawler: First of all, AI technology uses advanced web crawlers capable of indexing huge volumes of the Internet, starting from e-commerce sites such as Amazon, Alibaba, Etsy, and eBay, social networks, app stores, domain name registers and ending with various forums and dark web marketplaces. Contrary to human searches, web crawlers function non-stop and index content as soon as it appears online.

2. Natural Language Processing: Natural Language Processing (NLP) makes it possible for AI technology to comprehend and process texts similarly to how lawyers do. However, the processing is done at computer speeds. Thus, using AI technology one can find similar phonetics of brand names often used by the infringers, misleading product descriptions, as well as misuse of trademarked words. Additionally, natural language processing includes multi-lingual detection.

3. Visual recognition of logos: The most notable improvement in recent times has occurred in visual recognition AI models. Using tens of thousands of images of the actual logo of the brand as training, computer vision algorithms can scan through product images and social media to recognize any use of unauthorized branding, such as logos, packaging design, and color combination. Not only are the exact copies recognized by these models, but lookalike designs designed to deceive consumers are recognized as well.

4. Monitoring of domains and applications: A long-term problem faced by trademark owners has been cybersquatting and typosquatting, whereby malicious parties try to register domain names similar to those of the actual brand. Now, however, with help from artificial intelligence-based monitoring solutions, regular scans can be conducted to identify any suspicious registrations and take immediate action. Similar practices in terms of apps available in the application stores have emerged as threats recently.

Leading AI-Powered Tools in 2026

With the increasing requirement for smart protection, a few AI-driven tools have started dominating the market. These innovative technologies incorporate practicality alongside their sophisticated nature, making it possible to identify any infringement efficiently.

Below are some of the leading tools used in 2026:

• MarqVision: This platform has proven highly useful among fashion, cosmetics, and consumer goods companies. It performs exceptionally well in accurate visual search and monitoring on multiple platforms, including e-commerce sites and social media. The best part about it is its proficiency in detecting even visually similar 'dupes.'

• Corsearch: This tool combines robust AI along with extensive legal expertise. The tool has excellent monitoring and reporting abilities, as well as risk intelligence features. It is one of the most popular options among large enterprises.

• BrandShield: This platform deals with domain, social media, and phishing protection. It is excellent in detecting and blocking fraudulent websites and social media profiles using trademarks.

• Red Points: This service is known for its efficiency in automation of takedown processes. It operates mainly in e-commerce and has managed to develop efficient workflows with major online marketplaces.

• Huski.AI & Tracer AI: These are relatively new AI-powered services that focus on speed and human-in-the-loop reviews. They have attracted the attention of mid-level and startup brands seeking more cost-effective yet intelligent services.

Today most of these tools use human-in-the-loop monitoring, meaning that AI conducts the scanning, analyzes potential infringements, and human expertise confirms and takes actions in the case of detected threats.

Difference Between Traditional and AI Brand Protection:

• Traditional Monitoring: Reports, keyword-based approach, low scalability, high manual labor intensity.

• AI Brand Monitoring: Real-time scanning, visual & semantic analysis, automated alerts, significantly improved coverage.

It all comes down to the selection criteria and which solution would be the best fit depending on a particular brand's size, industry sector, budget, and geographic location.

Real-World Impact & Case Studies

Trademark monitoring powered by AI technology is already yielding tangible results for brands in various industries.

Many companies claim a 50% - 80% decrease in monitoring efforts, along with dramatically improved takedown rates, allowing legal teams to allocate their valuable time to more productive activities.

Some examples of success stories are:

• H&M collaborated with Corsearch to increase clearance rate for trademarks globally through automated detection of infringement cases.

• Fashion and consumer brands collaborating with MarqVision reported positive outcomes in eliminating counterfeiting products and experienced dramatic reduction in manual work load for monitoring purposes.

• Signature design protection was achieved successfully in difficult-to-navigate markets like China by luxury brands using services of Red Points, which allowed them to prevent massive fakes of promotional events.

In this rapidly growing Indian e-commerce space, these solutions have proven effective for brands to detect and enforce infringements on multiple e-commerce platforms such as Flipkart and Amazon India. In general, brands that invest in monitoring and prevention technologies based on artificial intelligence tend to achieve significant return on investment through revenue protection and maintaining their brand reputation. But it is important to use appropriate solutions and human control to maximize the results.

Challenges and Limitations

There are several benefits associated with using AI to keep a check on Trademark Infringement but even then there are some limitations to AI. Therefore, businesses should stay aware of such limitations in order to utilize the power of AI properly and consciously.

For instance, AI may generate false-positive results. That means that AI might mistakenly report legitimate sellers and non-infringing products. On the other hand, counterfeits that use advanced duping strategies may be able to go unnoticed by the system posting questions on the Reliability of AI . Generative AI technology has opened a new battle for brands. With the ability to produce high-quality images, content, and product descriptions, infringers can easily trick trademark monitoring AI. For example, deepfake technology poses an increasing challenge to traditional monitoring. One of the major concerns is the “black box” nature of many AI systems.

Also, cost also remains a barrier for many small and medium enterprises (SMEs). The advanced AI monitoring platforms are expensive, that puts the sophisticated protection methods out of reach for smaller brands and startups.

Other important limitations include:

• Explainability: Some AI decisions are difficult to understand or defend in legal proceedings.

• Legal Admissibility: The courts may still need human validation of AI-generated evidence.

• Data Privacy & Jurisdiction: The monitoring process involves several privacy concerns due to cross-jurisdictional platforms.

It becomes clear that even the best AI system is only an assistant; it cannot completely substitute human experience and expertise. In particular, the leading companies use AI as a tool that multiplies their efforts and speeds up the entire process.

The Road Ahead & Best Practices

The future of trademark protection is in an even more tightly coupled relationship between AI, marketplaces, and the legal team. Expect AI systems that prevent the posting of infringing material at the point of upload, increased use of blockchain for verifying authenticity, and intelligent AI that can distinguish between genuine content and fakes created by generative AI technology.

As technology advances, successful brands will develop a hybrid model of using AI for scalability and efficiency, but relying on humans for strategy and enforcement.

Best Practices for Brands in 2026:

• Begin with a Clear Strategy: Identify your target markets, critical trademarks, and risk tolerance in order to select an appropriate platform.

• Select the Right AI Platform: Choose an AI-based tool that is compatible with your specific industry and financial resources (MarqVision for images, Corsearch for broad coverage).

• Keep a Human-in-the-Loop: Always conduct human-based evaluation before taking legal action.

• Monitor Widely But Think Wisely: Target only serious violations, not trying to pursue all small listings.

• Integrate the Best: Combine use of AI technology with brand registries such as Amazon Brand Registry.

• Analyze and Improve Continuously: Analyze monthly reports to increase the effectiveness of detection algorithms.

By using AI technology as an excellent ally rather than as the ultimate solution, brands will be able to establish their protection systems for the future.

Conclusion: The Future of Trademark Protection

AI technology has proved itself to be a great monitor and defender of trademarks; it has changed the way businesses protect themselves from online infringement by enabling real-time, smart scanning across large digital spaces and turning their defensive measures into proactive ones.

But a blended strategy works better when using AI to detect infringements, the technology detects, analyzes and identifies them, but people make the ultimate decisions on what to do next. Brands that will adopt intelligent monitoring solutions in addition to building solid foundations and having robust legal measures in place in 2026 and after will definitely be able to safeguard their trademarks efficiently. So the bottom line is that AI will not replace the trademark watchdog. Instead, it will make this process faster, smarter, and more alert.

In the world where the brand is the business, AI is now its most vigilant guardian.

Author: Shruti Rajan Gajbhiye, in case of any queries please contact/write back to us via email to chhavi@khuranaandkhurana.com or at  Khurana & Khurana, Advocates and IP Attorney.

Endnotes

1. World Intellectual Property Organization (WIPO), WIPO Technology Trends: Artificial Intelligence, available at: https://www.wipo.int/edocs/pubdocs/en/wipo_pub_1055.pdf (last accessed June 2026).

2. Organisation for Economic Co-operation and Development (OECD) and European Union Intellectual Property Office (EUIPO), Global Trade in Fakes: A Worrying Threat, OECD Publishing, Paris, 2021, available at: https://www.oecd.org/publications/global-trade-in-fakes-74c81154-en.htm (last accessed June 2026).

3. European Union Intellectual Property Office (EUIPO), Intellectual Property Crime Threat Assessment 2022, available at: https://euipo.europa.eu (last accessed June 2026).

4. World Intellectual Property Organization (WIPO), Making a Mark: An Introduction to Trademarks for Small and Medium-sized Enterprises, WIPO Publication No. 900, available at: https://www.wipo.int/publications/en/details.jsp?id=219 (last accessed June 2026).

5. Corsearch, Trademark Solutions and AI-Powered Brand Protection, available at: https://corsearch.com (last accessed June 2026).

6. MarqVision, AI-Powered Brand Protection Platform, available at: https://www.marqvision.com (last accessed June 2026).

7. Red Points, Brand Protection Report and AI Counterfeit Detection Solutions, available at: https://www.redpoints.com (last accessed June 2026).

8. International Trademark Association (INTA), Addressing Online Trademark Infringement and Brand Protection in the Digital Marketplace, available at: https://www.inta.org (last accessed June 2026).