What Is The Role Of AI In Cybersecurity?  How It Protects Against Cyber Threats

AI In Cybersecurity - top engineering colleges in Coimbatore, India

The survey says 69% of businesses look out for AI while responding to cyberattacks. It states that cyber attacks on businesses are increasing and vulnerable with time especially in sectors like supply chains as producers, retailers, or transportation companies. And the hackers are becoming smart in using smart technology and it turns out to be necessary for the business to incorporate artificial intelligence. The cyber security colleges in Coimbatore are aware of the business requirements of cyber professionals who have good skills in artificial intelligence tools. This article explains the role of artificial intelligence in cybersecurity and how it protects the business from cybercriminals.

The role of AI in the business from cyber threats.

Businesses and companies are hotspots where it is obvious to find cyber attacks like stealing sensitive data, financial data, trade secrets and many more. These malicious activities cause damage like revenue loss or disrupt investor confidence. Cyber security AI detection systems are required for fraudulent activities such as,

  • Dark web dealing
  • Financial manipulations
  • Real-estate fraud
  • Phishing campaigns
  • Theft detection
  • Money laundering

By automating threat identification and response, AI and machine learning can be far more effective than conventional software-driven approaches in preventing crimes as the scope of threats expands and devices become more common. Thus, the cyber security professionals are important and the budding engineers of the top engineering colleges in Coimbatore, India should be aware of these threats and current techniques to sort the issues.

Find how.
1. Detect anonymous patterns.

AI detection systems look after the company network and analyze unusual traffic or suspicious behaviour like sudden data transfer, and unauthorized applications. This pattern indicates the cyber attack where AI recognizes and analyzes such malware of viruses or damage to the network.

2. Automation in monitoring.

AI allows automation for monitoring potential threats as there is large data in real-time from various sources. This makes it easy to respond to threats and prevent potential damage to the data and reputation of the business. With professionals’ assistance, it takes a lot of time to collect, and analyze the sources, and security incidents. However, AI makes it easier with the automation approach.

3. Data breach risk.

AI systems have the power to assess the risk of exploitation across the company devices and applications. The vulnerabilities which are related to any assets of IT or user profile direct to the potential impact of a breach. AI can predict the risk profiles which helps the business to keep informed and can clear the future loss. With human intervention, there may be negligence sometimes when analyzing the user profiles.

4. Identifying the bad bots.

Sometimes it is difficult to identify malicious attacks when the hackers are smarter at stealing any data with fake credentials or accounts. Cyber professionals may find it difficult to tackle the threats caused by malware bots. Artificial intelligence assists in detecting bad bots and understanding the behaviour patterns of malware bots.

5. Fraud detection.

AI algorithms in the field of cybersecurity use the fraud detection system. It can detect fraudulent incidents while analyzing data from various sources. This results in business can prevent hackers from entering into your system or potential damages.

Cyber professionals require time to adapt to the situation of the cyber attack whereas the AI ensures the immediate responses. This actually saves time and resources, reduces the potential risks and offers the required course of action, and recommendations to the security systems.
Limitations of AI in cybersecurity:

  1. AI systems are impartial as the data they are instructed and the bias is not a problem with humans. The AI produces biased findings if the data is actually biased. Decisions made in cybersecurity lead to adverse effects.
  2. Sometimes data are insufficient or inaccurate which may misinterpret the information and AI systems may conclude as it is. This is an indication that threat may go unnoticed or false assessments which leads to the suspension of legitimate operations and the termination of authorized users.
  3. The “robotic mode” may cause the consequences. This exposes further areas of vulnerability, increasing the company’s susceptibility to sophisticated cyberattacks that take advantage of gaps in AI-managed defences. It is because the AI systems that run without human support would lead to further vulnerabilities.
  4. Business needs to have a necessary skilled professional to develop and operate the AI systems. If not, improper configuration, poor implementation, and a weak defence against online threats may be results. Thus, one AI professional needs to stay around the cyber security team.


Usually, businesses have a separate department, and advanced tools to identify the vulnerabilities or defence of the cyber attacker’s exploit. With the help of AI, the engineers may work fast and uncover the security bugs before the hackers succeed in their way. The cyber security colleges in Tamil Nadu prepare the engineers who can access the network and safeguard the business. The objective of cyber professionals is to have good technical skills which make them one step ahead of these cyber threats.