The Simility Blog
Key Considerations for Successful Customer Onboarding
Using a layered defense approach, businesses can block even the most complex fraud types and reduce onboarding friction for new customers Consider this, you want…
Adopt Clear-box Machine Learning to Make Explainable Decisions
Clear-box machine learning algorithms allow businesses to make informed decisions, while accurately detecting fraud. Machine learning is playing a pivotal role in enhancing customer experience and helping…
Is Sharing, Really Caring?
The onus to catch fraudsters and prevent them from poisoning the ecosystem is on shared economy platforms Technology is playing a pivotal role in satiating…
No Silver Bullet: Biometrics Alone Cannot Predict Identity Fraud
Europe’s new banking laws are set to profoundly change the way online businesses are required to authenticate their customers. This is good news in that…
Automation: The Key to Advanced Fraud Detection
The convergence of artificial intelligence and machine learning with automation will unlock unprecedented intelligence and help fight evolving fraud Innovations in the financial sector have…
Trust: A Catalyst for Shared Economy’s Growth
Use of technology-driven fraud solutions can enable shared economy platforms to help new age entrepreneurs flourish safely In the recent years, the shared economy has…
As Fraud Evolves in 2019, Banks Need Smarter Tools to Drive Success
Retail banks and financial services are facing challenges with a constant pace of digitization. Customers, on one hand, are increasingly demanding seamless yet secure digital…
4 Ways Fraudulent Accounts Affect the Banking Industry
Fight the onslaught of fraudulent new accounts registration attempts and beat the fraudsters at their own game Some of the worst data breaches, recently, have…
What 2019 May Bring When It Comes to Fraud and Cybercrime
The coming 12 months will mark a crucial period in the fight against cybercrime and fraud. As criminal activity becomes more complex and sophisticated, regulations…
Customer Data at Risk – How Attackers Steal and Use Sensitive Information
Today, digital data thieves have easy access to customer information. Anyone can buy user information, even complete identities, from the dark web for as little…
