What are the main challenges of automated scanning?

What are the main challenges of automated scanning?

Automated scanning faces several challenges, including accuracy, false positives, and the ability to adapt to new threats.

Can you explain why accuracy is a challenge?

Accuracy is crucial because false positives can lead to unnecessary alerts, while false negatives may allow threats to go undetected.

How do automated scanners handle new threats?

They often rely on machine learning algorithms that need continuous training with updated data to recognize new threats.

What about the integration with existing systems?

Integration can be complex, as automated scanners must work seamlessly with various software and hardware environments.

Are there any solutions to these challenges?

Yes, solutions include improving algorithms, regular updates, and better training datasets to enhance performance.