Amrita Alumni

Top 5 AI Solutions for Cybersecurity

Do you know that Artificial Intelligence (AI) is quickly changing the cybersecurity sector and making many of the currently used techniques obsolete? In the past, cybersecurity has been a resource-intensive endeavour. The time-consuming tasks cybersecurity specialists do might delay repair and expose a system to new dangers.  

AI can revolutionise the cybersecurity workflow and enable a streamlined procedure that maximises safety by automating the time-consuming tasks associated with cybersecurity operations. Nearly two thirds of businesses feel that AI will be essential in identifying system vulnerabilities and significant cyber threats. This indicates that many organisations are now beginning to recognise how important AI integration is to their cyber-security efforts. 

Let’s take a look at the top 5 AI security solutions:

1. Self-learning systems

The longer cybersecurity systems are in operation, the more intelligent they will become because to AI’s capacity to learn. The system will be able to effectively learn from each failure and fine-tune itself. As time passes, the system improves in its ability to recognise threats. 

2. Breach Risk Prediction 

Both potential risks and current threats can be predicted by self-learning systems. An AI system will be able to prioritise hazards and anticipate breach risks under a variety of scenarios. Cybersecurity experts may efficiently manage their time and concentrate on the most important issues by prioritising risks.

3. Automated Threat Detection

Preventing a problem in the first place is always the best course of action. For cybersecurity systems, AI is ideally suited to accomplish this. Automated threat detection AI’s can be trained to detect attacks before they become critically important, eliminating the need for humans to examine the threat environment because they are prone to overlooking details. 

4. Incident Response

Knowing the details of an attack after it occurs is crucial for preparing a defence against similar threats. AI can produce a thorough report on the attack so that people in the cybersecurity industry can understand what’s going on in the background and enhance the current cybersecurity system. 

5. Threat hunting

The term “Threat Hunting” describes a typical service provided by cybersecurity experts. Automated threat scanning is used, and it adopts a proactive rather than reactive stance. The system examines current traffic in order to spot both well-known trends and those that might be of concern. 90% of known threats may be detected using the signature-based detection method, which uses established patterns. By examining network traffic data and identifying patterns that would escape the experienced eyes of the majority of cybersecurity specialists, AI can close the 10% gap that still needs to be filled. 


There’s no doubt that you will start to notice more and more AI cybersecurity as AI technology develops. It’s crucial that organisations become aware of the changing security landscape and cybersecurity experts include AI techniques into their toolkit. AI-integrated cybersecurity solutions will also change how attacks are carried out. Because of this, it’s vital that those in the industry stay current, and businesses hire cybersecurity experts who have the skills and expertise necessary to make use of and defend against AI technologies.

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