Create an Architecture of Trust with the Latest in AI-Related Data Security
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. Traditional security practices won’t address AI-specific challenges such as adversarial attacks, new data extraction techniques, and regulatory compliance under new laws like the EU AI Act. This research provides insight on the nuances of these issues buyers should be aware of and provides actionable strategies for AI solution providers to mitigate risks and maintain client trust.
Key Take: AI introduces new security risks. Providers must demonstrate a clear understanding and evidence of how AI-specific security measures have been implemented to stay compliant and secure to maintain client trust.
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