Så skyddar M-Files känslig information – med AI och metadata i fokus
M-Files, specialister på informationshantering, satsar på avancerad säkerhet för att skydda känslig data mot både interna och externa hot. Med kryptering, strikt åtkomstkontroll och en metadata-driven arkitektur erbjuder M-Files lösningar som ger full kontroll över dokumenten - även när AI används. Läs intervjun med Samppa Lathinen, Senior Manager, Industry Solutions på M-Files.
How does M-Files protect sensitive information from internal and external threats?
M-Files uses several strong methods to keep sensitive information safe from both internal and external threats. It encrypts data during transmission and while stored. To ensure only authorized users can access the data, M-Files employs strict password policies, multi-factor authentication, and supports authentication through any OAuth 2.0 compatible Identity Provider (IdP). It keeps detailed logs to track who accesses and modifies data, ensuring compliance with security policies.
M-Files also has robust data loss prevention strategies, including secure storage on servers or in the cloud, guidance for protecting data on client devices, and quick file recovery options. Regular backups and data replication across multiple locations ensure fast recovery in case of hardware failure or other disasters. Additionally, M-Files complies with various industry regulations and standards ensuring sensitive information is managed legally and securely.
What security features distinguish M-Files from other information management systems?
Metadata-Driven Architecture: Unlike traditional folder-based systems, M-Files uses a metadata-driven approach, which enhances security by allowing precise control over document access based on metadata attributes.
How does M-Files handle AI-related security risks?
M-Files tackles AI-related security risks through several key measures. It ensures AI follows established security and access rights within the M-Files system, meaning users can only access documents they have permission to see. The system respects data privacy and confidentiality, ensuring AI processes do not expose sensitive information to unauthorized users. Detailed logs are kept for AI interactions, tracking access and modifications to documents, which helps monitor AI activities and ensure compliance with security policies. Additionally, AI in M-Files enhances document security by automatically tagging documents with metadata, improving control over existing documents. These measures help M-Files manage AI-related security risks effectively, ensuring a secure environment for AI-driven processes.
Samppa Lathinen
Senior Manager
Industry Solutions M-Files