31Eki
How do cloud providers use AI-driven security solutions to mitigate resource over-utilization threats? [closed]
In cloud environments, unauthorized or malicious resource over-utilization—such as cryptomining or bot-driven compute exhaustion—poses a security challenge by impacting both costs and service availability.
I’m particularly interested in understanding how AI-driven security measures are being used to detect and prevent these types of over-utilization threats. Specifically:
- How are AI or machine learning models applied by cloud providers to distinguish between legitimate spikes in resource usage (e.g., from a viral ad campaign) and malicious overuse?
- What specific AI-driven tools or algorithms are used to recognize and limit resource abuse related to unauthorized activities like cryptomining\ Cryptojacking?
- Are there any known examples of advanced AI implementations that cloud providers use to proactively protect against compute\memory over-utilization (i.e. CPU\GPU, memory) threats?
Note: this question is focused on the security applications of AI within cloud infrastructure to address malicious resource usage patterns rather than operational issues like general monitoring or routine usage limits.