How AI is Revolutionizing Cyber Security & Preventing Breach of Data?
November 18, 2019

There is little doubt that Artificial Intelligence (AI) & Machine Learning (ML) are transforming the way industries are operating, analyzing risks, solving problems and increasing overall productivity. AI is also reducing street traffic, improving customer experience while shopping online, and making life comfortable with voice-activated digital assistants.  When it comes to the role of AI in cyber security, it’s going to be vital for protecting confidential information and intellectual property of users.

The adaptive machine learning algorithms and security software detect derelictions, phishing attacks, and suspicious activities pertaining to data theft and cyber-attacks.


How AI can be implemented in Cyber Security?

The incidents of cybercrimes and data thefts are on a rise. Large and small organizations transmit a huge amount of data through vast networks and online systems locally and globally, making them vulnerable all the time.

However, the conventional technology the organizations use cannot spot unauthorized access by hackers and potential threats of real-time data thefts. They cannot improvise and keep up with the tricks and contrivances adopted by the hackers.

Such loopholes and breach of cyber safety can only be prevented by using AI and adaptive machine learning algorithms. AI cybersecurity thwarts the stealing of confidential information and data, and perceives any cyber threat or suspicious activity.

The machine learning algorithms become effective and identify ongoing cyber-attacks on time. They are designed in such a way that informs the user about the cyber-attack as soon as it happens. They have the ability to learn and react in time to spot those malpractices.

So how do they work? Machine Learning facilitates computers to utilize and adapt algorithms according to the data received. The algorithms can learn and understand the data and take the appropriate steps automatically to prevent breaching of online security.

When the AI algorithms observe any anomaly or notice unusual activities that are beyond the standard patterns, it can block a user who is trying to get an unauthorized access. Thus, AI is competent to find solutions to complex cybercrimes by taking intelligent decisions at the right time.

The scope of AI is vast. Large and small organizations have used many methodologies and tactics of integrating AI into the domain of cybersecurity. Some of them are as follows:

  • Login Access through Biometric
  • Network Intrusion Detection and Prevention
  • Use of Ratings in Cybersecurity
  • Natural language Processing through Machine Learning


Advantages of Using AI on Cybersecurity


How AI is changing cybersecurity?

Well, the answer is, AI is going to have an extremely positive impact on cybersecurity. Here are some of the advantages of integrating AI and machine learning algorithms on cybersecurity.

Automated Detection of Cyber Crimes

Websites depend on AI and ML, to prevent unauthorized access, phishing emails (the process of obtaining username or password or credit card details by sending emails) and other malicious activities of hackers. AI-powered security systems can prevent cyber malpractices without manual help or human intervention.

They will detect the attack before pauses the entire system. No matter how tactful or adept the hackers maybe, AI will successfully thwart all such efforts.

The AI-powered cybersecurity in organizations utilizes predictive analysis that provides a faster and reliable approach to protect data of users and prevent suspicious activities of hackers. For individual users, AI uses a multi-factor authentication process that gathers appropriate credentials to give access to the system.


Secures Platforms

Biometric logins enabled by AI-powered systems have added to cybersecurity. AI-based cybersecurity systems investigate fingerprints, palm prints, and images of the retina which assures security to biometric login access. Face recognition technology is another potent biometric authentication. Here facial features of a user are identified by using in-built infra-red sensors and neural engines.


Ensures Accuracy

AI and ML are facilitating systems to predict cyber malpractices ahead of time and detect anomalies with a great deal of accuracy. The speed with which AI-powered cybersecurity systems carry out the task and beef-up the level of accuracy, can never be emulated by humans. Thus AI empowers organizations and individual users when it comes to protecting confidential information and phishing.

With the world embracing digital transformation at an unprecedentedly rapid speed, AI has already made its presence felt in cybersecurity. In years to come, there are going to be more significant developments and innovative approaches to incorporating AI in cyber security.

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