Brains Valley CO.

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.