Best-in-class, Fraud.Net offers an AI-driven platform that empowers enterprises to combat fraud, streamline compliance, and manage risk at scale—all in real-time. Our cutting-edge technology detects threats before they impact your operations, providing highly accurate risk scoring that adapts to evolving fraud patterns through billions of analyzed transactions.
Our unified platform delivers complete protection through three proprietary capabilities: instant AI-powered risk scoring, continuous monitoring for proactive threat detection, and precision fraud prevention across payment types and channels. Additionally, Fraud.Net centralizes your fraud and risk management strategy while delivering advanced analytics that provide unmatched visibility and significantly reduce false positives and operational inefficiencies.
Trusted by payments companies, financial services, fintech, and commerce leaders worldwide, Fraud.Net tracks over a billion identities and protects against 600+ fraud methodologies, helping clients reduce fraud by 80% and false positives by 97%. Our no-code/low-code architecture ensures customizable workflows that scale with your business, and our Data Hub of dozens of 3rd party data integrations and Global Anti-Fraud Network ensures unparalleled accuracy.
Fraud is complex, but prevention shouldn't be. With FraudNet, you can build resilience today for tomorrow's opportunities. Request a demo today.
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TrustInSoft has developed a source code analysis tool known as TrustInSoft Analyzer, which meticulously evaluates C and C++ code, providing mathematical assurances that defects are absent, software components are shielded from prevalent security vulnerabilities, and the code adheres to specified requirements. This innovative technology has gained recognition from the National Institute of Standards and Technology (NIST), marking it as the first globally to fulfill NIST’s SATE V Ockham Criteria, which underscores the significance of high-quality software.
What sets TrustInSoft Analyzer apart is its implementation of formal methods—mathematical techniques that facilitate a comprehensive examination to uncover all potential vulnerabilities or runtime errors while ensuring that only genuine issues are flagged.
Organizations utilizing TrustInSoft Analyzer have reported a significant reduction in verification expenses by 4 times, a 40% decrease in the efforts dedicated to bug detection, and they receive undeniable evidence that their software is both secure and reliable.
In addition to the tool itself, TrustInSoft’s team of experts is ready to provide clients with training, ongoing support, and various supplementary services to enhance their software development processes. Furthermore, this comprehensive approach not only improves software quality but also fosters a culture of security awareness within organizations.
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FADMS
The False Alarm Data Management System, developed by the Digital Design Group, offers an economical, reliable, and intuitive approach to effectively manage and execute False Alarm Reduction Ordinances. Founded in 1981, Digital Design Group is a well-established software development firm that first gained prominence when its initial major project won the Exemplary Systems in Government Award from the Urban and Regional Information Systems Association. Over the years, the company has played a vital role in the creation and execution of a national system, which was later recognized by the US Department of Energy in 2000 as one of the top 100 technical and scientific achievements in the agency's history. This accolade serves as a testament to the company's dedication to fostering innovation and maintaining high standards in software development, influencing the industry significantly. Their ongoing commitment ensures that they remain at the forefront of technological advancements and solutions.
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SmartyzeDetect CloudAI
SmartyzeDetect CloudAI is a cloud-based AI video analytics platform designed to minimize false alarms by as much as 95%. It employs sophisticated analytics to effectively identify people and vehicles within video streams, even under difficult circumstances like poor lighting, rain, or snow, while also eliminating false alerts triggered by changes in weather, lighting, animals, or plants. This innovative solution is particularly beneficial for monitoring centers, enhancing their ability to quickly address real threats while significantly lowering the rate of false positives. By integrating this technology, users can improve their overall security response times and operational efficiency.
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