According to Gartner, AI TRiSM (AI Trust, Risk, and Security Management) tops the list of the latest computer technology trends for 2024.

AI Trust, risk, and security management. This approach supports the management of AI models, ensuring their integrity, reliability, resilience, and transparency, and also ensures data protection through content anomaly detection, data protection, application security, model management, and attack resilience. What are the effects of this approach? First, it improves model accuracy and consistency, and enables better error control in the decision-making process. Second, it ensures greater fairness in AI-based applications. By 2026, enterprises implementing TRiSM controls in AI-based applications are expected to improve the accuracy of their decisions by eliminating 80% of incorrect and false information.

TRISM in the context of SAP AI

In the rapidly evolving world of technology, artificial intelligence (AI) has become an integral part of our lives, offering unprecedented opportunities in numerous fields, from medicine to finance. However, with the growing presence of AI, questions arise about the trust, risk, and security of these advanced systems. This is where the concept of AI TRiSM (AI Trust, Risk, and Security Management) comes in. It aims to ensure that AI models are managed, trustworthy, fair, reliable, robust, effective, and data-protective. In this article, we'll explore how AI TRiSM is transforming the artificial intelligence landscape, ushering in a new era of transparency and security. The Importance of AI TRiSM for SAP In the digital age, where AI algorithms decide everything from mortgages to medical diagnoses, it's become critical to ensure these systems are not only effective but also fair and secure. AI TRiSM focuses on ensuring AI model governance, which includes:

• Model Interpretation and Simplicity:Enables understanding of how AI models make decisions, which is crucial for building trust and accountability.
• AI Data Protection:Ensures that data used by AI models is protected, safeguarding data privacy and integrity.
• Model Operations:Focuses on maintaining and managing AI models to keep them current and effective in a dynamically changing environment.

AI TRiSM Impact on Industry and Society

Implementing AI TRiSM has far-reaching implications for industries and society. In medicine, ensuring that algorithms are fair and transparent can avoid biases and errors that could impact diagnosis or treatment. In the financial sector, risk and security management can protect against fraud and ensure fair treatment of customers. The Future with AI TRiSM

As AI technology evolves, so must risk and security management strategies. AI TRiSM is a key step towards more ethical and responsible AI. By implementing standards and governance practices, we can ensure that AI technologies serve society sustainably and positively.

AI TRiSM is not only a necessity in the face of the growing complexity and presence of AI in our lives; it is also an opportunity to build a future in which AI technologies are as safe as they are innovative. Ensuring that our AI systems are trustworthy, fair, and secure is fundamental to achieving their full potential for social good. 

Source: https://haergi.pl/trism/