SHIELD provides a device-first fraud prevention and risk intelligence platform that focuses on identifying and blocking fraudulent activities. By leveraging device intelligence and AI, SHIELD analyses and trusts device signals to detect fraud.
Problem
- Fraud vulnerability: Various industries are exposed to different kinds of fraud such as fake accounts, account takeovers, payment fraud, and bot attacks.
- Ineffective fraud detection: Existing systems often fail by incorrectly allowing fraudulent transactions and blocking genuine ones, leading to financial losses.
- Outdated methods: Rule-based and manual fraud detection systems are inefficient and easily bypassed by fraudsters.
Solution
- Advanced analysis: SHIELD leverages big data and machine learning to analyse not just basic personal details, but also behavioural and psychological aspects of transactions.
- Real-time risk profiling: Their technology offers real-time risk profiling, reducing the need for constant manual updates and adapting quickly to new fraud tactics.
- Multi-industry application: SHIELD caters to a wide range of industries such as e-commerce, digital and neobanking, gaming, ride-hailing, social media, online delivery, and media streaming. This broad applicability enhances real-time risk profiling, improving overall security and trust in digital transactions
Media Links
Type
Education
Focus Area
Deep Tech, Enterprise, and Sustainability
Capital Raised (US$)
21M to 50M
Operational HQ
Singapore
SECTOR
AI, Big Data & Analytics, Enterprise Data & Software, and SaaS
status
Current
founders
Justin Lie
partnered
2017
exited
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