Fingerprint's collaboration with Oscilar is intended to help fintech companies with fraud protection and detection while maintaining high standards of customer service. This partnership focuses on Fingerprint's Smart Signals technology, while Oscilar's AI-powered platform focuses on risk decisioning, helping companies reduce the workload of their engineering units.
With the new partnership, customers can harness the new risk platform to deploy models, use reliable technologies such as DeviceID and Smart Signals, and benefit from automated risk decisioning that factors in real-time insights.
"We founded Oscilar to revolutionize risk management for fintechs, banks, and credit unions. Partnering with Fingerprint is a natural fit," said Sachin Kulkarni, co-founder and chief technology officer at Oscilar. "By integrating their unparalleled device intelligence into our no-code platform, we're making it easier than ever for our clients to automate risk decisioning, reduce fraud and deliver the seamless experiences their customers deserve."
AI-Enhancing Risk Platforms
Fingerprint is Partnering with Oscilar to Enhance Customer Experiences
Trend Themes
1. AI-driven Fraud Detection - The integration of AI-powered risk decisioning platforms ensures real-time fraud detection and prevention, significantly reducing financial losses.
2. No-code Risk Management Solutions - No-code platforms simplify risk management processes for fintech companies, enabling quicker deployment and easier customization without extensive engineering efforts.
3. Smart Signals Technology - Using Smart Signals technology to assess risk aids in more accurate and efficient identification of fraudulent activities, enhancing the reliability of fintech services.
Industry Implications
1. Financial Technology - Fintech companies benefit from advanced AI and no-code solutions that streamline fraud detection and improve customer experience.
2. Banking - Banks can leverage innovative risk management platforms that incorporate real-time insights and device intelligence for better fraud prevention.
3. Credit Unions - Credit unions gain from using smart risk assessment tools that provide automated decision-making capabilities and reduce the operational workload.