ISO/IEC 30145:2020 AI and Information Security Management
About the standard:
About the standard:
ISO/IEC 30145:2020 provides guidelines for managing information security in the context of AI systems. It ensures that AI technologies are implemented securely, protecting sensitive data and maintaining integrity, confidentiality, and availability.
Main objectives of ISO/IEC 30145:2020
Protect AI data and systems
Safeguard sensitive information processed by AI.
Ensure system integrity
Maintain reliability and correct operation of AI applications.
Prevent unauthorized access
Control access to AI systems and data.
Support compliance with regulations
Align AI security with legal and industry standards.
Promote trust in AI systems
Build confidence among stakeholders through secure AI management.
Key responsibilities & Advantages of the standard
Key responsibilities & Advantages of the standard
Information security governance
Define policies, roles, and responsibilities for AI security.
Risk assessment
Identify vulnerabilities and threats to AI systems and data.
Security controls implementation
Apply technical and organizational measures to protect AI systems.
Monitoring and auditing
Continuously review and improve security practices.
Incident management
Detect, respond to, and recover from security incidents effectively.
Enhanced AI system security
Reduce risks of data breaches or malicious attacks.
Improved stakeholder trust
Ensure confidence in AI applications and decision-making.
Regulatory compliance
Align with international security standards.
Operational continuity
Protect AI systems from disruptions or failures.
Proactive risk management
Identify and mitigate threats before they impact operations.
How your company benefits
How your company benefits
Secure AI deployment
Implement AI systems safely and reliably.
Data protection
Safeguard critical information and intellectual assets.
Compliance readiness
Meet regulatory and industry requirements efficiently.
Risk reduction
Minimize vulnerabilities and potential damages.
Operational resilience
Ensure continuous performance of AI applications.
The main principles of this system are
The main principles of this system are
Confidentiality
Protect sensitive AI-related information.
Integrity
Ensure accuracy and reliability of AI systems.
Availability
Maintain continuous access to AI resources.
Risk-based approach
Prioritize management based on threat assessment.
Continuous monitoring
Regularly evaluate and improve security practices.