ChatGPT & Co. – the future of cyber security?

Artificial intelligence and machine learning tools have recently demonstrated the potential they can unleash. And although ChatGPT is certainly an interesting platform, at the same time it doesn’t always get things right. In other words, such tools can be a great help if you know what you’re doing, but users must be able to recognise whether an answer is correct or not. In this case ChatGPT can be an interesting sparring partner – including in cyber security and cyber defence. In this blog post, we explain six areas of use for chatbots and machine learning tools. 

1 – Rapid response time 

Machine learning networks operate around the clock, detecting and responding to potential threats. This shortens the response time enormously and increases the chances of successfully fending off cyber attacks. By leveraging machine learning and artificial intelligence, chatbots like ChatGPT may even be able to identify patterns of threats and proactively respond to them before they become a real problem.

2 – Automation

Machine learning-based tools can automate repetitive tasks such as monitoring systems, reviewing logs or performing penetration tests. This frees up IT security specialists to concentrate on more complex tasks. Automation of safety tasks can also help reduce human error and increase the effectiveness of safety measures.

3 – Scalability

Further, machine learning tools can be easily scaled to handle large volumes of queries and threats. This allows companies to ensure that their IT systems are protected even when workloads are high. The scalability of chatbots also means that IT security measures can be adapted to the size of the company without additional resources having to be deployed.

4 – Real-time communication

Chatbots like ChatGPT can communicate with users and other systems in real time. This allows them to respond quickly to threats and provide feedback to users. Through real-time communication, chatbots can also help improve collaboration between IT security specialists and other departments within the company.

5 – Low cost

Chatbots can reduce the cost of IT security measures by automating repetitive tasks and reducing employees’ workload. This allows companies to use their IT security budgets more efficiently. This, of course, goes hand in hand with the possibility of a reduced need for IT security specialists, especially for smaller companies that may not have the resources to employ a full IT security team.

6 – Increased accuracy

Chatbots can perform repetitive tasks with high accuracy because they are not affected by human error or deviation. In particular, the fatigue caused by recurring false-positive alerts (alert fatigue) that regularly plagues SOC analysts is not an issue for these systems. Consequently, they can help improve the security of IT systems and reduce the risk of security breaches. Moreover, since chatbots adhere to predefined standards and protocols, the quality of IT security measures can be increased.

Machine learning & artificial intelligence – today is yesterday 

In summary, there will still be some very exciting use cases for machine learning, artificial intelligence and specifically chatbots like ChatGPT. However, today’s state of the art can quickly become “yesterday’s news” because developments in this field are rapid – including in cyber security and cyber defence.

Last but not least … 

Maybe you guessed it: the six points were created by ChatGPT and found to be “correct”. But don’t worry: in future our cyber security specialists will continue to personally write articles with insights that ChatGPT (probably) won’t know about today or tomorrow 😉

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Cyber Defence , Cyber Security , CSIRT

Mathias Fuchs
About the author / Mathias Fuchs

InfoGuard AG - Mathias Fuchs, Vice President Investigation & Intelligence

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