What are the risks of using AI in cybersecurity?

What are the risks of using AI in cybersecurity?

The main risks include false positives, over-reliance on AI, and adversarial attacks that can manipulate AI systems.

Can AI be hacked or manipulated?

Yes, AI systems can be vulnerable to attacks that exploit their algorithms, leading to incorrect decisions.

How can we mitigate these risks?

Mitigation strategies include regular audits, human oversight, and using diverse datasets to train AI models.

Are there any real-world examples of AI failures in cybersecurity?

Yes, there have been incidents where AI misidentified threats, leading to security breaches or missed attacks.

What future developments should we be aware of?

Future developments may include improved AI transparency, better training methods, and enhanced collaboration between AI and human experts.