Rahul Pangam, Simility CEO, asserts we must be vigiliant for security with the growing world-wide Internet connected devices. Read more about it in the NetworkWorld article.
When Dice.com, a leading online recruiting company, wanted to reduce the volume of fraudulent spam profiles and account activity, it turned to Simility’s anti-fraud machine learning platform. The company has since reduced the recruiting fraud to less than 5 percent (that was as much as 30 percent earlier). Get the details in the eWEEK article.
A powerful blend of machine learning and human intelligence can create an effective fraud prevention solution that can help new age businesses combat fraud while winning good customers. Read this article from Robert Stock, Head of Global Business Development, that appeared in PAYbefore.
Millennials, underbanked and unbanked are rapidly adopting mobile banking. Read Rahul Pangam’s opinion in this article that lists key risks and fraud prevention for mobile banking.
Artificial Intelligence (AI) can help to trace fraudulent trends by analyzing the behaviors of transactions and devices. Read Rahul Pangam’s viewpoint on how AI can be used to prevent fraud while rendering frictionless mobile-banking experience in CUToday.info, a renowned source of information for US credit unions.
Check out the article Rahul Pangam, Simility’s CEO and Co-Founder, wrote on why it is essential for disruptive businesses to build an online model of TRUST to reduce risk and friction.
Check out the article Rahul Pangam, Simility’s CEO and Co-Founder, wrote on the need for dynamic security strategy for online marketplaces, banks and processors to reduce online fraud in wake of speeding EMV shift and proliferating digital payments.
Check out this article in The Nilson Report, one of the most trusted sources of news in the payment industry. It discusses how easily Similty’s fraud prevention products can be adapted to any business’ needs.
Simility, a provider of cloud-based fraud prevention software, announced the closing of an additional $1.5 million in its first round of funding, bringing the total raised to $7.2 million
A team from Google’s fraud-detection group has started its own software as a service venture for spotting transaction fraud quickly based on rule sets and that also learns as it goes to improve…
Fraud detection provider Simility aggregated patterns across 500,000 browser-based devices throughout January 2016. Analysts looked for patterns in the 10,000 (or 2%) of those devices that were…