What are the limitations of AI in cybersecurity?

What are the limitations of AI in cybersecurity?

AI in cybersecurity has several limitations, including reliance on data quality, inability to understand context, and potential biases.

Can you explain how data quality affects AI performance?

Certainly! Poor data quality can lead to inaccurate predictions and decisions, as AI models learn from the data they are trained on.

What about the context understanding issue?

AI often struggles with context, which can result in misinterpretations of threats or anomalies that require human judgment.

Are there any biases in AI systems?

Yes, biases can arise from the training data, leading to unfair or ineffective security measures that may overlook certain threats.

How can we mitigate these limitations?

Mitigating these limitations involves improving data quality, incorporating human oversight, and continuously updating AI models.