Nanonets

JUNE 27, 2023

Enhanced document security Physical documents are vulnerable to loss, theft, or damage from natural disasters, accidents, or unauthorized access. Document digitization provides enhanced security measures, such as encryption, access controls, and backup options, ensuring the confidentiality and integrity of sensitive information.

Product 52

Product Disaster Recovery Automation Compliance 52

Nanonets

DECEMBER 13, 2023

Data Privacy and Security Compliance: AI systems can enhance data privacy and security compliance by implementing robust encryption methods and access controls. Ensuring that sensitive information is handled and stored securely aligns with regulatory mandates, such as data protection laws.

AI 102

AI Process Fraud Detection Compliance 102

Stax

AUGUST 22, 2024

Identity theft, data breaches, and chargeback fraud are some of the most common types of risks. You need firewalls, encryptions, intrusion detection, and other security measures in your technology stack. They always seem to adapt and evolve their techniques even when security measures are in place.

Risk Management 88

Risk Management Risk Regulatory Compliance Payment APIs and Integration 88

Nanonets

JUNE 19, 2023

It involves implementing measures such as firewalls, intrusion detection systems, access controls, encryption, and other security protocols to protect sensitive data and ensure the integrity and confidentiality of automation processes. Security Measures: Security is a critical component of on-premise automation.

Automation 52

Automation Disaster Recovery Process Security 52

Neopay

JUNE 27, 2024

This includes secure transmission protocols, encryption mechanisms and effective fraud detection and prevention measures. Data protection: Safeguard customer data in accordance with data protection regulations. Implement strong data privacy controls, including access controls, encryption and regular data backups.

Financial Crimes 52

Financial Crimes Money Laundering Compliance Crime 52

Segpay

MARCH 20, 2024

By analyzing patterns in transaction data, generative AI algorithms identify anomalies and suspicious behavior in real time, flagging potentially fraudulent transactions for further investigation. Security breaches and data leaks could expose sensitive information, leading to embarrassment, harassment, or blackmail.

AI 110

AI Privacy Non-Bank Fraud Detection 110