Understanding AI TRiSM

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.