VISTA InfoSec

OCTOBER 21, 2024

Some best practices to ensure robust cybersecurity include: Data Encryption: All sensitive data should be encrypted both in transit and at rest to prevent unauthorized access and ensure efficient data security measures.

Cybersecurity 130

Cybersecurity CRM Disaster Recovery Encryption 130

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

Global Fintech & Digital Assets

DECEMBER 11, 2023

Requirements related to business continuity and disaster recovery have also been included for the first time. Encryption: The Amendments remove covered entities’ ability to rely on alternative compensating controls for the requirement to encrypt non-public information in transit over external networks.

Cybersecurity 59

Cybersecurity Multifactor Authentication Risk Assessment MFA 59

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. Encryption techniques and access controls further enhance data protection.

AI 102

AI Process Fraud Detection Compliance 102

Nanonets

JUNE 19, 2023

Many companies in heavily regulated industries, like Healthcare, Banking, and Government agencies, prefer on-premises automation as it offers the highest level of security and privacy. Backup and Disaster Recovery: Implementing robust backup and disaster recovery mechanisms is essential for 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. Implement strong data privacy controls, including access controls, encryption and regular data backups. This includes redundant systems, backup facilities, and disaster recovery procedures.

Financial Crimes 52

Financial Crimes Money Laundering Compliance Crime 52

Segpay

MARCH 20, 2024

Data Privacy and Security Concerns While AI significantly benefits fraud detection and security departments, it also raises concerns about data privacy and confidentiality. What dangers lurk in the shadows of Generative AI in Banking?

AI 92

AI Privacy Non-Bank Fraud Detection 92