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Articles by Sunil Madhu
The Financial Sector's High-Stakes Gamble In A Post-Watchdog Era
Sunil Madhu, founder and CEO of Instnt, identity fraud loss insurance AI, is an identity and security architect and serial entrepreneur. The financial industry is undergoing heavy change under the current administration. We are witnessing a significant rollback of post-crisis protections.
How AI And Fraud Loss Insurance Solutions Can Unlock Working Capital
Sunil Madhu, founder and CEO of Instnt, identity fraud loss insurance AI, is an identity and security architect and serial entrepreneur. getty Financial fraud loss is on the rise. In 2024, 40% of financial institutions saw an increase in fraud-related losses compared to 2023. The cost of fraud loss for financial institutions goes beyond direct losses, as fraud also drains working capital. How can financial institutions keep up?
How Identity Fraud Insurance Protects Businesses
The cost of identity fraud for financial institutions and businesses is rising at an alarming rate. According to NASDAQ, global fraud reached nearly $500 billion in 2023. In 2024, 40% of financial institutions saw an increase in fraud-related losses compared with the previous year. Behind these staggering numbers is a fast-evolving threat landscape. Fraudsters are leveraging next-gen technology like to create more convincing phishing scams, synthetic identities and even deep fakes.
EXCLUSIVE: "A New Way To KYC"
We speak to Sunil Madhu, Founder and CEO of Instnt, to find out how it’s aiming to ease the burden of fraud loss whilst helping financial institutions onboard more customers A bank account, credit card or loan should be accessible to everyone, but getting one isn’t always straightforward.
Using universal identity and insurance to combat first-party fraud
In this FF News Virtual Arena, we speak to Sunil Madhu, co-founder and CEO of Instnt, to get a special insight into the current fraud landscape in financial services and find out how their unique and ground-breaking solution can help banks in the US. Madhu, discusses the growing prevalence of First Party Fraud and what banks are currently doing to combat against it. Unfortunately this comes with the consequence of lengthy KYC processes that can reject innocent customers and cost time and money.
Getting the Right Custom and Reducing Fraud Losses with Instnt
At Money20/20 USA we speak to Founder and CEO of innovative fraud loss tech company Instnt, Sunil Madhu. Previously founding Socure, a leader in digital ID and fraud monitoring, Madhu has turned to preventing losses and providing a boost to businesses balance sheets in the process. Here he explains how they’re helping lending businesses differentiate between borrowers and increase ‘good customer’ sign ups. People In This Post Companies In This Post
Sunil Madhu - Instnt - Fintech Meetup 2023
Over at Fintech Meetup 2023, we sat down for a conversation with Sunil Madhu the Founder and CEO of Instnt. Businesses of all sizes use Instnt to increase the number of good customer sign-ups and new accounts that remain compliant and fraud-free. “Traditionally, most businesses struggle with signing up and accepting and onboarding customers.
Are Machines Doomed To Inherit Human Biases?
More data is generated every day than one person can process in a lifetime. With artificial intelligence (AI) being applied to big data in virtually every facet of our lives, we’ve gained insights that no human or team of humans could achieve on their own. Machines can outperform people in processing speed and accuracy, and they have the potential to inherit a very human flaw: bias. Machines depend on our human inputs, and humans are self-centered by nature, limited by our own knowledge.
Why Are We Using Stolen Data For Credit Checks?
According to the Privacy Rights Clearinghouse, more than 8,000 data breaches have been made public since 2005, with more than 10 billion individual records breached. Last year, the Equifax breach alone affected 143 million American consumers. It’s a fact: Massive amounts of credit and debit card information, including other types of personal data, have been compromised by fraudsters. How does this impact consumers who apply for credit cards or shop online?
What's Ahead For Fintech In 2018
In the past year, we’ve seen major advances in mobility and biometrics, paving the way for less customer friction in digital transactions. Here are five predictions for what’s in store in 2018. 1. The Biometrics Market Will Be Disrupted Biometrics is one of the hottest sectors in technology today, with crucial applications for payments, banking, retail, health care and government. While some predict that biometric revenues will surpass $30 billion in the global marketplace by 2022, I disagree.
Can a Bus Ticket Prevent Seasonal Hunger?
In many parts of the rural developing world, a lack of jobs for agricultural workers in the months between planting and harvest creates a lean season at a predictable time each year. The nonprofit Evidence Action estimates that each year, some 600 million people experience this seasonal hunger. Government and charitable programs can temper the impact, but they are costly and aren’t a solution to the core issue—a lack of work opportunities.
Can Blockchain Become the Infrastructure of Financial Services?
“Banking’s back end is a mess,” Forbes says. The Harvard Business Review puts it this way: “It’s antiquated, a kludge of industrial technologies and paper-based processes dressed up in a digital wrapper.” But evangelists for blockchain technology believe that may all be about to change. If it proves out, blockchain software—most visibly used to create bitcoin—can be a secure, easily-audited, nearly frictionless ledger.
What Businesses Can Do About a Trillion-Dollar Fraud Problem
Data breaches happen every day. Astonishingly, over nine times the population of the United States’ data was stolen in 2016 alone. Data breaches affect not only merchants but large-scale financial institutions like banks, credit card companies and credit bureaus that store a lot of information about consumers. It now costs about $4 on average to buy someone’s stolen identity data and mere hours of trolling people’s social media exhaust to learn enough to commit fraud.
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