How Infringers Use Multichannel Approaches to Maximize the Impact of their Scams

As technology advances, AI infringers are increasingly adopting a multi-channel approach to carry out deceptive activities. This involves utilizing artificial intelligence across various platforms and channels to maximize the impact of their scams.

Here are a few examples illustrating how they employ a multi-channel approach:  

Multichannel-phishing Campaigns:

With the advent of artificial intelligence (AI), phishing attacks have taken on a new level.  Today, AI-driven phishing attacks have become increasingly sophisticated, leveraging automated systems to orchestrate coordinated assaults across multiple channels simultaneously.  

The attacks entail scammers leveraging AI-generated content to distribute phishing messages across email, web, instant messaging (IM), and social media platforms. By reaching out to potential victims through diverse communication channels, scammers notably amplify their likelihood of success. This multifaceted strategy not only expands the pool of potential targets but also heightens the challenge for individuals to differentiate between genuine and fraudulent messages.  

What makes these multi-channel phishing attacks particularly insidious is the use of compromised accounts from legitimate and popular business services. Platforms like LinkedIn, Microsoft, and Slack – widely trusted by individuals and organizations alike – are exploited by scammers to launch their fraudulent campaigns. 

When customers and partners fall victim to phishing scams launched from seemingly legitimate sources, trust in the affected business can quickly erode. The fallout from such incidents can be profound, resulting in loss of revenue, legal repercussions, and long-term damage to brand credibility.  

A 2023 survey by Forrester revealed that the majority (four out of five) of phishing attacks in the past 12 months occurred through multiple channels. However, most respondents expressed unpreparedness in tackling this challenge.  

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Transitioning from Livestream Shopping to E-commerce Platforms and Marketplaces:  

Scammers utilizing AI might leverage deepfake technology during live shopping events, featuring synthetic influencers endorsing fake products. This tactic aims to guide consumers toward AI-generated websites or deceitful listings across diverse e-commerce platforms. By intertwining video manipulation with online marketplaces, this strategy seeks to dupe unsuspecting buyers. 

Multi-touch Strategies to Enhance the Authority  

Scammers utilizing AI might leverage deepfake technology during live shopping events, featuring synthetic influencers endorsing fake In modern times, infringers can implement a complex strategy for their scams, employing voice cloning, AI-generated emails, and deepfake videos via conference calls. For instance, recipients might receive emails presenting overdue notices, accompanied by urgent voicemails demanding immediate settlement of outstanding invoices. They may then find themselves participating in Zoom meetings where they interact with AI account managers to address invoice issues via video calls. This multi-touch approach, once unimaginable a decade ago, is now a chilling reality in the domain of AI-driven infringements.

To effectively combat the rising wave of multi-channel AI infringements, brand protection teams should tap into the power of deep learning. This sophisticated branch of artificial intelligence mimics the human brain’s ability to process data, providing an invaluable tool in the fight against external threats. With AI at their disposal, teams can proactively and comprehensively detect a myriad of risks—from phishing sites and spoofed URLs to homograph domains, social media scams, counterfeit apps, web phishing, and even executive impersonations. Harnessing AI not only enhances threat detection but also fortifies defenses, ensuring brands stay one step ahead in the digital arena.

How Can Hubstream Help You?

Hubstream offers AI-powered case management software designed specifically for brand protection teams. At Hubstream, we dedicate considerable effort to devising ways to aid brand protection teams in deriving meaningful insights from infringement activities and automating tasks where feasible.

Moreover, Hubstream facilitates seamless collaboration between humans and AI, enabling brand protection teams to combat AI-generated infringements more effectively. Our platform strives to enhance cooperation and streamline efforts towards safeguarding intellectual property rights.

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