ISO 27001 Key Controls for AI-Driven Data Entry

ISO 27001 provides a comprehensive framework for managing information security risks. When applied to AI systems, especially LLMs handling sensitive data, the following controls are particularly pertinent:(periculo.co.uk)

1. A.5.1 Policies for Information Security
   Establish clear policies governing the secure use of AI technologies, ensuring alignment with organizational security objectives.

2. A.5.9 Inventory of Information and Other Associated Assets
   Maintain an up-to-date inventory of AI systems and associated data assets to manage and protect them effectively.

3. A.5.12 Information Classification
   Classify data processed by AI systems based on sensitivity to apply appropriate security measures.

4. A.5.14 Information Transfer
   Implement secure methods for transferring data to and from AI systems, including encryption and access controls.

5. A.5.15 Access Control
   Restrict access to AI systems and data to authorized personnel only, enforcing least privilege principles.

6. A.5.19 Information Security in Supplier Relationships
   Ensure that third-party AI service providers comply with your organization's security requirements.

7. A.5.31 Legal, Statutory, Regulatory, and Contractual Requirements
   Identify and comply with legal and contractual obligations related to AI technologies.

8. A.8.25 Secure Development Life Cycle
   Integrate security practices throughout the AI system development process to mitigate vulnerabilities.

🧠 Integrating AI with ISO 27001 Controls

To effectively integrate an LLM as a data entry specialist while adhering to ISO 27001, consider the following strategies:

• Data Anonymization: Before processing, anonymize sensitive data to prevent exposure during AI operations.

• Secure Data Handling: Utilize encryption for data at rest and in transit to safeguard information integrity and confidentiality.

• Access Management: Implement robust authentication and authorization mechanisms to control access to AI systems.

• Regular Audits: Conduct periodic security audits and vulnerability assessments to identify and address potential risks.

• Compliance Monitoring: Continuously monitor AI operations to ensure compliance with relevant laws and regulations, such as GDPR.

By aligning AI implementations with ISO 27001 controls, organizations can leverage the efficiency of LLMs in data entry tasks while maintaining a strong security posture and ensuring data privacy.