The future of AI in cybersecurity is both essential and worrying, as it is set to transform how both cyber security and cyber attacks are managed and implemented.
AI's ability to learn and adapt to new threats could significantly enhance detection, containment, and response times, making it a critical tool for security operations centres (SOCs). The integration of AI in threat intelligence is expected to drive substantial changes across the industry, improving the accuracy and speed of cyber defences.
Artificial intelligence is being adopted in various ways within cybersecurity. For example, AI excels at pattern recognition, which can help reduce false positives, clearing the way for meaningful, real-time threat detection and behavioural analysis. AI also plays a role in automating repetitive tasks, thus saving time for organisations in discovering new threats and dealing with increasingly sophisticated cyberattacks.
Moreover, AI has the potential to predict which software vulnerabilities are likely to be targeted by hackers based on past patterns, empowering organisations to prioritise their security measures accordingly.
However, currently only a small percentage of AI research spending is dedicated to security. As the threats evolve, the necessary investment to counter them will have to be made. Necessity is the mother of invention after all…
AI poses a significant risk in cybersecurity, with the potential to expedite cyberattacks using advanced tools with features such as machine learning and automation. Another factor is the sheer speed with which AI could launch a coordinated attack against an individual or an organisation. While humans are still trying to work out the first piece of the puzzle, AI could be a great many steps ahead of them.
In the world of cybersecurity, is AI a friend or a foe? There are two ways to look at this: