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How to secure sensitive company data on an LLM server?
Short answer
Security Measures for LLM Servers
Data Encryption
Sensitive data must be encrypted both at rest (on storage media) and in transit (e.g., between server and client). Acceptable algorithms include AES-256 or RSA-2048. Key management must be secure, e.g., via Hardware Security Modules (HSMs) or Key Management Services (KMS). It is important that encryption occurs at the infrastructure and network level rather than the application level to ensure protection against application-level attacks.
Access Restrictions
Access to the LLM server should only be permitted through authentication and authorization. This includes:
- Role-Based Access Control (RBAC): Users are granted only the rights necessary for their tasks.
- Multi-Factor Authentication (MFA): At least two factors (e.g., password + token) are required to enable login.
- Network Segmentation: The LLM server should operate in an isolated network segment to prevent unauthorized access.
Compliance with Regulations
Compliance with legal and industry-specific regulations is central. Relevant provisions include:
- DSGVO: Requires documentation of security measures (Article 30) and compliance with processing agreements.
- NIST AI RMF 1.0: Defines risk management frameworks for AI systems, including ensuring data integrity and confidentiality.
Security Audits and Monitoring
Regular audits and continuous monitoring are required to detect security vulnerabilities early. This includes:
- Automated Security Scans: To identify vulnerabilities in software and hardware infrastructure.
- Log Management: All access and changes to sensitive data must be logged and monitored for anomalies.
- Penetration Tests: External security services can systematically test the server for vulnerabilities.
Backup Strategy and Disaster Planning
A robust backup strategy is crucial to avoid data loss. Regular backups (e.g., daily) should be stored in multiple, geographically separate data centers. Additionally, a disaster recovery plan must be in place that describes how data can be quickly restored in the event of a security incident. This also includes training IT personnel in emergency procedures.
These measures are general in nature, as no Ouhud-specific information is available, but they align with proven best practices in information security.
Key facts
- Encryption
- Data must be encrypted at rest and in transit.
- Access Restrictions
- Role-Based Access Control (RBAC) and Multi-Factor Authentication (MFA) are mandatory.
- Compliance
- Compliance with regulations such as the DSGVO and NIST AI RMF 1.0 is required.
- Audit and Monitoring
- Regular security audits and continuous monitoring systems are critical.
Sources
All external claims are backed by traceable sources.-
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Datenschutz-Grundverordnung (Verordnung (EU) 2016/679) EUR-Lex / Europäische Union
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Artificial Intelligence Risk Management Framework (AI RMF 1.0) National Institute of Standards and Technology (NIST)
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