Nethone on Global CyberTech100 list

Nethone recognized as one of the world’s most innovative providers of digital solutions helping financial services firms fight off cyberattacks and protect their data.

The CyberTech100 list identifies the 100 innovative companies that every financial institution needs to know about when they consider and develop their information security and financial crime-fighting strategies.

The standout companies were chosen by a panel of industry experts and analysts who reviewed a study of over 1,000 CyberTech companies undertaken by FinTech Global, a data and research firm. The solution providers making the final list were recognized for their innovative use of technology to solve a significant industry problem, to generate cost savings, or efficiency improvements across the security value chain.

"The CyberTech100 list helps senior management filter through all the vendors in the market by highlighting the leading companies in sectors such as Threat Management, Data Governance, Cloud Security, Employee Risk and Fraud Prevention,” said FinTech Global director Richard Sachar.

Nethone was recognized on CybertTech100 list as a Know Your Users™ (KYU) company that enables businesses from around the world to better understand end-users and protect  them from online fraud. By using Machine Learning technology, Nethone is able to detect and prevent card-not-present fraud, including protection against account takeover. Nehtone can help to lower clients’ rejection rates, costs of manual review, and fraud risk, without affecting the service UX.

Founded by data scientists, security experts, and business executives, Nethone is one of the fastest-growing technology companies in CE, which secures transaction attempts and logging into online accounts for e-commerce, digital goods, travel, and financial industries.

Nethone makes a significant contribution, primarily  through the following:

• Profiling, which enriches the context of the user's understanding with   5000+ attributes.
• Providing clients with a broad subset of structured data to determine online fraud risks.
• Focusing on frictionless transaction flow.
• Mitigating sophisticated fraudulent attacks.
• Easy integration.