Impactful Strategies to Combat AI-Triggered Infringements
In a world where AI-triggered infringements pose an ever-growing threat to brands and consumers alike, mastering effective strategies becomes paramount.
In this article, we’ve outlined effective strategies to fortify your defenses and safeguard against the perils of AI-driven infringements:
Implement Advanced Authentication Measures
Implementing advanced authentication measures, such as two-factor authentication, can help protect against AI infringements. These measures can make it more difficult for scammers to gain access to sensitive information.
Leverage AI to Detect and Take Down AI Infringements
Here are several ways AI can be harnessed for this purpose as explained below:
Automated AI-defense Against Multi-channel Attacks
To effectively tackle multi-channel AI infringements, brand protection teams can harness the potency of deep learning, a method within artificial intelligence (AI) that instructs computers to process data in a manner inspired by the human brain. By employing AI, threats across various external attacks—including phishing sites, spoofed URLs, homograph domains, social media scams, fake apps, web phishing, and executive impersonations—can be identified comprehensively and proactively for threat detection.
Image Recognition and Analysis
Visual content plays a crucial role in brand protection. AI infringers frequently mimic visual elements that are imperceptible to the naked eye, complicating the task of distinguishing authentic products from counterfeits. Through machine learning, AI can train on labeled images to develop models capable of identifying counterfeits with human-level accuracy. Investigators can leverage these models to preprocess product images, enabling them to concentrate on the most pertinent matches.
Entity Extraction and Text Analysis
AI algorithms can extract entities from text documents and analyze product descriptions, reviews, and other textual content to flag instances of AI-triggered infringement or misleading brand name usage.
Prioritization of Enforcement Efforts
AI algorithms evaluate the severity and impact of potential infringement cases, enabling companies to prioritize enforcement efforts and allocate resources more effectively.
Predictive Analytics
Leveraging historical data on AI infringement cases, AI predicts future trends and anticipates potential threats. This proactive approach helps businesses stay ahead of infringers.
Legal Research and Case Management
AI-powered case management systems like Hubstream aid in identifying past cases and relevant precedents related to AI infringements, streamlining the legal process.
Educate and Raise Awareness
Regular training sessions must be conducted for employees, customers, and partners to bolster awareness regarding AI-generated scams. The training content should emphasize the identification of AI-triggered phishing attempts, AI clone websites, and other emerging deceptive tactics. Empowering individuals in this way enhances their ability to recognize suspicious activities, thereby enabling early detection and mitigation efforts.
Collaborate with Industry and Regulatory Bodies
How Can Hubstream Help You?
Hubstream is an AI-powered investigative case management system (ACMS) crafted for IP/brand protection teams. We empower you to gain a bird’s-eye view of AI-triggered infringement activities and automate tasks where appropriate.
Furthermore, Hubstream fosters seamless collaboration between brand protection teams and AI, ensuring effective operations against AI-generated infringements.