AI can be used as a force for good in Cloud Security, but its implementation needs to be carefully considered. While one of the primary benefits of AI is to reduce fatigue to security teams working in the Cloud, the potential for false positives and false negatives generated by AI-based threat detection systems is still high. Many of the AI features that are available in the Cloud to support Cloud security can be turned on very easily, oftentimes without needing fine-tuning. This can lead to huge amounts of unnecessary alerts and noise. It’s important that any AI tooling being used has been defined in a clear context and deployed properly.
Privacy is also a large concern, especially in the Cloud in which “where and who is processing my data?” can often be a question by organizations. AI’s reliance on well-structured and quality data can raise data privacy concerns, particularly when processing sensitive information in cloud environments. Remember, those large language models are essentially being trained on data and attacks that could be happening in your environment.
Here at Immersive Labs, we help organizations to continuously build and prove their cyber workforce resilience, including managing the potential impact of AI in the Cloud.
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