The Architecture of Trust: Merging Traditional Approaches with the Latest in Data Security

November 30th, 2024

Author

George Harrison

Artificial Intelligence Consultant

George is an Oxford alumni mathematician and AI software developer. He has a deep rooted understanding of how AI works and how to apply it in real-world working environments. He is guest writing for Actionary on deep AI topics.

Summary

Data security and privacy have long been essential in technology. Artificial Intelligence (AI) introduces new, often overlooked risks that require an understanding of new security concepts and a modern approach. Vendors must recognize the limitations of traditional security practices in addressing AI-specific challenges such as adversarial attacks, new data extraction techniques, and regulatory compliance under new laws like the EU AI Act. This note helps highlight the nuances of these issues and provides actionable strategies for AI solution providers to mitigate risks and maintain client trust.

Key Take: AI introduces new security risks that traditional approaches may overlook. Vendors need to implement AI-specific security measures to stay compliant and secure.

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