Risk management is a key element of security standards and regulations because it enables organizations to identify, assess, and mitigate potential threats that could compromise their information systems and data. For example, ISO-27001 requires organizations to identify security risks, assess their likelihood and impact, and implement measures to manage them, including regular review and updates. Similarly, the NIST RMF involves categorizing systems, selecting and implementing security controls, regularly assessing these controls, and continuous monitoring. SOC 2, which focuses on data management for cloud service providers, requires identifying and managing risks related to security, availability, and processing integrity of data. HIPAA, which protects health information, and PCI/DSS, which focuses on payment card security, have similar risk management requirements. The Cybersecurity Act establishes a framework for protecting critical information infrastructure and requires organizations to implement measures to identify, assess, and mitigate cyber risks.

We use an artificial intelligence module that can be completely isolated from the Internet during On-Premise installations. In this way, you can use the full potential of artificial intelligence integration and at the same time be sure that no third party has access to your data. This module offers advanced analytical capabilities, which significantly increases the efficiency and accuracy of risk management and other critical operations. This setup allows you to have full control over your data and ensures that sensitive information remains secure within your infrastructure, which is especially important for organizations with high demands on security and data protection. It is also possible to connect Risk Flow to third-party systems, such as Open AI.