What is the main AI use case in cyber security?

AI, or artificial intelligence, brings new capabilities to cyber security. AI can analyse vast amounts of data, detect patterns, and even predict future cyber threats. This makes it particularly useful in threat detection and response—something every organisation needs.

One of the most prominent AI applications in cyber security is real-time threat detection. AI can sift through vast amounts of network traffic and identify anomalies that may signal an attack. Machine learning capabilities means that the more data AI systems analyse, the better they become at spotting potential issues.

This is where we start to see the benefits of AI in cyber security. With AI, organisations can detect threats faster, respond more efficiently, and reduce the chances of human error. Traditional cyber security measures might miss subtle threats, but AI’s pattern recognition capabilities help prevent this. In fact, CyberArk’s Threat Landscape Report found that nearly all (99%) of organisations are using AI in cyber security defence initiatives.

You’ve likely heard the buzz around generative AI in cyber security. Generative AI, as its name suggests, can generate new content. While this capability has mostly been explored in creative fields, it’s starting to have serious implications for cyber security.

According to the Cloud Security Alliance and Google Cloud’s State of AI and Security Survey Report 2024, 55% of organisations plan to adopt GenAI solutions within this year, signalling a substantial surge in GenAI integration.

Some experts are cautious, though. While generative AI can be used for good, such as creating more secure systems or simulating potential threats for testing, it can also be misused. Cyber criminals may use generative AI to create sophisticated phishing emails or automate parts of cyber attacks.

Despite these risks, many in the cyber security field are optimistic about the future of AI in cyber security. Imagine a future where AI doesn’t just detect and respond to threats but also anticipates them before they happen. With continued advancements in generative AI, we could be heading toward a world where proactive security is the norm rather than reactive solutions.

Use of AI in cyber security is becoming a necessity. But how can AI be applied in real-world scenarios? Here are a few examples:

Looking ahead, the future of AI in cyber security promises even more exciting developments. As cyber threats become more complex, AI will play an important role in defending against them. From self-learning algorithms to advanced predictive models, the possibilities are endless.

That said, it’s crucial for organisations to stay informed and adapt as AI evolves. AI is only as good as the data it learns from, so maintaining up-to-date systems and ensuring diverse data inputs are key to its success.