Blog

How to use AI in cyber security

3 minute read

Kelsey Smith

October 3rd, 2024

How to use AI in cyber security

3 minute read

Kelsey Smith

October 3rd, 2024

As we continue to digitise, the need for stronger cyber security increases. The question remains the same for all organisations: how do we protect ourselves from cyber threats? One of the most exciting developments in this field is the use of AI in cyber security.

Let’s explore how AI is shaping the future of cyber security, its benefits, and its applications.

The role of AI in cyber security

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.

Which recent AI software has caused a stir in the world of cyber security?

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.

How can AI be used in cyber security?

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:

Orange tick icon

Automating incident response:

AI can help reduce the time it takes to respond to a security breach. By automating certain responses, such as isolating infected systems or blocking malicious IP addresses, AI helps organisations act faster

Orange tick icon

Improving vulnerability management:

with AI in security, organisations can continually scan their systems for vulnerabilities. AI can prioritise the most critical vulnerabilities, helping teams focus on patching the right areas

Orange tick icon

Enhancing user authentication:

have you ever noticed your bank sending an alert about unusual login activity? That’s AI at work. AI algorithms can flag suspicious activity based on your normal behaviour, strengthening user authentication systems

The future of AI in cyber security

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.

Talk to us about using AI in cyber security

The future of cyber security is one where AI and human expertise work hand in hand, creating a safer digital environment for all.

Headshot of Kelsey Smith

About the author

Kelsey joined Phoenix in late 2022 as the Content and Social Media Apprentice, moving into Content Executive in 2024 after working closely with the Marketing Team to develop her skills in digital marketing. Kelsey’s passion lies in content creation, which is reflected in her contributions across all areas of the business, from external and internal campaigns to our social media accounts.

Kelsey is not only keen to learn about marketing, but also the challenges organisations face and how Phoenix helps them overcome these.