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Artificial intelligence (AI) is making waves in almost all industries, and cybersecurity is no exception. While this technology offers immense benefits, it can also pose some significant security risks, requiring companies to have an outlined incident response plan in place.

Cyber threats are highly sophisticated and constantly changing, making it difficult for humans to keep up with their detection. However, AI can quickly identify suspicious patterns and anomalies that could indicate a threat to the organization’s network, reducing the amount of time that cybersecurity personnel need to spend manually reviewing data.

Additionally, AI can be used to monitor networks 24/7 and detect malicious activity in real-time, enabling organizations to prevent cyber attacks before they cause serious damage. This is done by using machine learning algorithms to identify known attack patterns and identifying new threats, ensuring that the system can quickly and accurately recognize any changes in behavior.

However, it is important to remember that these systems are only as good as their training data and can be easily manipulated by hackers. These malicious actors can poison the training data to cause false positives and reduce the effectiveness of the AI, resulting in unintentional and dangerous outcomes.

To mitigate this risk, it’s a good idea to start by integrating AI into your cybersecurity system gradually. This will allow you to observe and test how the AI performs, and make any necessary adjustments before implementing it fully. Additionally, you should look for a solution that provides a high level of transparency and explainability, as well as a clear separation between human and AI-powered decision-making.