AI TRiSM: A framework for Trust, Risk and Security Management

AI Trust: Building confidence in AI systems

It ensures ethical and fair practices are followed throughout the development and deployment process

AI Risk: Mitigating potential risks and pitfalls

Proactive risk management strategies are implemented to minimize negative impacts on stakeholders and society as a whole.

AI Security Management: Safeguarding AI systems and data

It focuses on protecting AI systems and data from cyber threats and vulnerabilities. Data privacy and compliance measures are enforced, and security is a priority for AI models, algorithms, and infrastructure.

AI TRiSM enables organizations to understand how AI models make decisions. It is important for ensuring transparency and identifying potential biases which in turn promotes trust and accountability in AI systems.

 Just like traditional software systems, AI models also require management throughout their lifecycle. AI TRiSM offers tools and processes for automating and monitoring the development, deployment, and maintenance of AI models, known as ModelOps. This ensures models remain effective and up-to-date in dynamic environments, mitigating risks associated with outdated models.

As AI applications become more prevelant, they require robust security measures. AI TRiSM addresses this by implementing measures to protect against unauthorized access, data breaches, and malicious attacks, safeguarding both the applications and the sensitive data they handle.

With the increasing use of AI comes the need to protect sensitive data and ensure compliance with privacy regulations. AI TRiSM assists organizations in implementing robust data privacy measures, including data encryption, access controls, and anonymization techniques, to protect individuals’ privacy rights and maintain regulatory compliance.

• Form an AI taskforce
• Prioritise explainability:
• Implement continuous monitoring
• Regular training and education
• Stay informed about regulations
• Collaborate with external experts

AI TRiSM offers a structured approach to address these risks, providing organizations with the confidence to develop and deploy AI solutions responsibly. By prioritizing trust, risk management, and security, organizations can unlock the full benefits of AI while safeguarding against potential pitfalls.