AI TRiSM (AI Trust, Risk, and Security Management): Enhancing AI Reliability and Security

Introduction AI TRiSM, short for Artificial Intelligence Trust, Risk, and Security Management, represents a critical framework for organizations navigating the complexities of AI adoption. Coined by Gartner, AI TRiSM focuses on mitigating risks associated with AI models, ensuring reliability, security, and trustworthiness in their deployment. As the digital landscape evolves, the importance of AI TRiSM … Read more

Generative AI Security Risks & How to Mitigate Them

Introduction Generative AI is revolutionizing industries worldwide, with McKinsey estimating it could add between $2.6 trillion to $4.4 trillion annually to global corporate profits. Despite its transformative potential, the adoption of generative AI also introduces significant security and privacy risks. Concerns include cyber attacks, data poisoning, misinformation, and the potential for data exfiltration, highlighting the … Read more