According to a recent LinkedIn post from SentiLink, the company is emphasizing the role of human-led fraud analysis in powering its seemingly automated fraud scoring system. The post indicates that while scores are delivered in under a second, they are trained and refined using extensive manual case reviews.
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The company’s LinkedIn post highlights that its Fraud Intelligence Team reviewed and labeled more than 42,000 cases in 2025. According to the post, these reviews help identify patterns that models initially miss, such as fraudsters using aged, compromised emails to circumvent scoring logic.
The post suggests that this human-in-the-loop approach could enhance the accuracy and adaptability of SentiLink’s fraud models over time. For investors, this may signal ongoing investment in data quality and model performance, potentially improving the firm’s competitive positioning in digital identity and fraud prevention.
As shared in the LinkedIn update, SentiLink is also using a new blog post by a Fraud Intelligence Team analyst to explain this process in more detail. This type of thought leadership may support brand credibility with financial institutions and fintech clients, which could help sustain customer acquisition and retention in a crowded fraud-prevention market.