Logo detection – your secret weapon for online brand protection


DevOps experience

Artificial intelligence and machine learning continue to show promising results for a wide range of cybersecurity applications. At Bolster, we rely heavily on the latest advancements to deliver lightning-fast, ultra-accurate phishing and scam verdicts at scale. One of the most important tasks performed with our technology is logo detection to help detect scam websites and other online breaches in real time. The logo detection algorithms we have developed and employed are extremely powerful, enhanced through our efforts with the world’s leading brands. In this blog, we’ll showcase a set of use cases that take advantage of logo detection and aim to solve some of the more difficult issues of trademark protection online.

  1. Multichannel brand watch
    Monitoring your brand’s presence on a myriad of social media platforms, app stores, marketplaces, and websites can be especially difficult given the scale of the business. Equipped with our logo detection capabilities, you will be able to inventory logo usage across all Internet channels. In addition, during the logo detection process, all discovered URLs are scanned in real time for malicious activity. If phishing or fraud activity is detected on any of the URLs, the system will automatically issue takedown requests to the respective hosting providers. In more sensitive cases of trademark or copyright infringement, our highly accurate detection, complemented by high-resolution screenshots and logo detection, facilitates evidence gathering, submissions, and review processes. withdrawal.
  2. Unauthorized sales and counterfeits
    Logo detection can play an important role in helping you find avenues for sales of unauthorized or counterfeit products. Many companies that do business online struggle with unauthorized sales of legitimate products. And other businesses are grappling with counterfeit products that are flooding various e-commerce channels. Both conditions, unauthorized sales and counterfeit sales, can be extremely damaging to your business and your brand’s reputation. Here, logo detection can play an invaluable role in helping you uncover and dismantle illegal product placement on the internet on a large scale. Use logo detection, for example, to detect bogus social media ads promoting fraudulent offers or links to marketplace offers. And use logo detection to look for unauthorized locations in marketplaces as well.
  3. Track brand impressions
    The vast majority of social media content is rich media including graphics, videos, and audio. This means that systems that rely solely on natural language processing for crime detection will lose a significant amount of information and incidents. As a result, for marketers, brand managers, and security personnel, visibility into brand placement, performance, and breaches is significantly obscured. Logo detection helps here as an additional discovery mechanism. At a large online event, for example, a team equipped with logo detection can extract more meaningful information in terms of brand placement and impressions across more online channels. The improved loyalty, in turn, allows teams to measure ROI more effectively.
  4. Copyright infringement detection
    Corporate logos are easy to obtain. A simple screenshot or a Google search is usually enough to navigate to a logo file to use. A common practice of bad actors on the internet is to leverage well-known and trusted brands to help artificially establish legitimacy through bogus associations. A malicious site may pose as an authorized reseller with a vendor’s logo, or may include a strip of customer logo approvals. Either way, it is a prohibitive action that undermines a brand’s reputation and the trust placed in it. Logo detection can significantly aid legal and marketing teams both in uncovering violations like these and in the associated enforcement processes.
  5. Brand sentiment tracking
    The internet has become the go-to source for customer reviews and opinions. And nowadays, it only takes a few disgruntled customers who post harmful or derogatory reviews to “cancel” a product, or even an entire business. The challenge given all the different online channels and platforms on the internet is finding where product discussions take place, especially those involving unhappy customers. Ultimately, the heavy lifting in this scenario is done by content moderation engines powered by natural language processing, but logo detection is often used to help locate these posts in the first place. The combination of the two, natural language processing and logo detection, stimulates the overall discovery and evaluation of customer comments and feelings.

Get started with Bolster today!

The online world is changing rapidly. And when crooks and counterfeiters target your brand, your windows for detection and remediation are narrow. If nothing is done, the business you’ve built, your reputation and everything, is in jeopardy. And the risk can lead to lasting damage. Trust is, after all, one of the hardest things to gain and fix. Legal, marketing and security need to come together and fully embrace technology to tackle the many risks. AI must be at the heart of the solution and logo detection an essential weapon to ensure the safety of your brand and your team.

Learn more:

Strengthen brand protection solutions

Underlying technologies:
Fast, large-scale image matching
Logo detection with Yolo v5 and Pytorch

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*** This is a syndicated Security Bloggers Network blog from Bolster Blog written by Jeff Baher. Read the original post at: https://bolster.ai/blog/logo-detection-your-secret-weapon-for-online-brand-protection/

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