Acorda
Acorda operates a fraud data-sharing network that aggregates and normalizes risk signals from multiple financial institutions into a unified intelligence feed. The platform enables payment providers to share risk scores about recipient accounts, reducing fraud losses and false positives while protecting sensitive data. Its API-first architecture is designed to integrate directly with existing fraud detection systems.
- Financial Technology
- Cybersecurity
- Data & Analytics
- Software Only
- Artificial Intelligence
Funding
Founders
Founder details are not available yet.
Product
Problem
Fraud detection is often siloed within individual organizations, leaving businesses blind to emerging threats that have already been observed elsewhere. This lack of cross-industry intelligence allows fraudsters to repeatedly exploit the same tactics across different targets, increasing losses and driving up the cost of compliance and manual review.
Solution
Acorda provides a fraud data-sharing platform that aggregates and normalizes risk signals from multiple participating organizations into a single, actionable intelligence feed. The platform focuses on payment fraud, allowing banks and payment providers to share risk scores about recipient accounts with sending institutions scrub. This shared intelligence enriches each participant's own fraud detection rules and models, improving accuracy and reducing false positives while allowing legitimate payments to proceed without unnecessary flags. Acorda's approach turns individual fraud prevention efforts into a collective defense network, making it harder for fraudsters to operate across the ecosystem.
Target Audience
Primary customers are fraud, risk, and compliance teams at financial institutions, payment providers, and other digital businesses that face high volumes of fraudulent activity, particularly payment scams where recipient account risk is unknown.
Features
- Centralized data-sharing network that consolidates fraud signals from multiple sources into a unified intelligence feed
- Risk score sharing between payee and payer institutions to illuminate high-risk recipient accounts in real time
- Cross-organization pattern recognition to identify repeat offenders and emerging fraud trends
- API-first architecture for seamless integration with existing fraud and risk management systems
- Data normalization and deduplication to ensure high-quality, actionable intelligence
- Focus on scam detection specially tailored for payment providers and banks