Role of Artificial Intelligence in Data Security

By Noman Shaikh
7 Min Read
Role of Artificial Intelligence in Data Security 1

Just the way the deficiency of vitamin and poor hygiene can make the human body fell seriously ill, the deficient access points and lack of hygiene in cyber environments can lead to cyberattacks in the hyper-connected workplaces.


The likelihood of cyberattacks is increasing with continuous ballooning of the data feeding into the network. It’s a sign, the organizations are living in the fear of becoming a victim of the cyberattacks and willing to spend big bundles on cybersecurity tools and services.

According to IDC research, “The organizations will spend $101.6 billion on cybersecurity software, services, and hardware by 2020.”

The leading organizations are integrating the tens of security products in the environment, but yet, they afraid of being exposed and vulnerable. It indicates even after increasing the IT spending on security, the security breaches are showing no sign to cease or slow down.

Incorporating the advanced technology in cybersecurity is the need of the hour that can detect the attacks in depth and tackle the attacks precisely faster than the human cybersecurity engineers. Artificial intelligence is the technology that can spot the threats and take the desired action in an automated fashion.

AI-powered tools meet the various cybersecurity needs:

Biometric authentication

The passwords can be hacked which put the user’s crucial information such as credit card data at stake and the security can be easily compromised. That’s where AI-powered authentication, be it facial, retina, fingerprint, and palm scanning are far more secure and the system can scan them securely. When the biometric logins are coupled with passwords, the probability of user’s profile data breaches becomes nil.

Accelerate threat detection

The conventional cybersecurity systems are incapable of handling various types of malware at once. Besides, not just the bar of cybersecurity, but the cyber attackers have also raised the standard. To identify the advanced threats at speed, it’s necessary to use advanced security tools that can tackle such problems.

The cyber firms are deploying AI-driven systems that can easily spot the threat with pattern recognition through its advanced algorithms and codes that are updating constantly.

The AI in conjunction with machine learning is efficient in analyzing the path traversal of website, micro-behaviour of malware, and any malicious activities that further helps in taking decisions proactively.   

Respond to attacks promptly

Merely identification of threat needles in the real-time holds no value unless the system is powered to combat threats and prevent them before they create subtle damage to the system.

When the team of hackers attacks the system from different points, AI immediately connects the dots and automatically suggest the plans to prevent the attack. AI leverages predictive analytics that’s an easier and faster approach to identify and rectify the security attacks. For instance, when the AI system finds a malicious file in the system, it isolates the file from the system pre-emptively.

Keep the cyber firms stay up-to-date

Staying ahead of the attackers and the threat they pose is all-important to protect the organizations against new vulnerabilities.

The AI systems are great at collecting the data (Scanning articles, news, or research on cyberattacks) and cross-referencing them automatically to gain rich insights into how attackers are attempting put a security hole, and how to identify those attacks and prevent them to mitigate the worse consequences of cyberattacks. It helps cybersecurity firms to stay updated with the latest cyberattack trends and formulate effective strategies to keep the organization secure.

Furthermore, cyberhackers are also using AI to hack the websites, which makes it very important for cyber firms to use AI in the security system to step in with the potential attacks.

Create dynamic authentication framework

The data cannot just be hacked on the systems but can be eavesdrop on the networks as well. It’s an alarming situation for the employees who are accessing the systems remotely, which means traditional authentication models are no more secure. Here, AI comes to rescue.

AI systems create global authentication framework in the real-time that modify access privileges according to location or network using multi-factor authentication. It involves data collection and user’s behaviour analyzation on the application, device, and network when data is remotely accessed.

Minimize human involvement

No machine can surpass the creativity, imagination, and judgment skills of human beings. But, the decisions that human engineers take are also backed by the right set of data, insights, and current trends.

Researching and consuming the meaningful data eats up a lot of time and dealing with high-risks task instantly becomes impossible.

When cyber firms build a secure application embracing AI technology, the security-intelligence personnel will get a breathing space due to the automation of security threats detection and prevention by AI 24/7 without human intervention.

The continuous analyzation of the user’s micro-behaviour in addition to predictive analytics diminishes the engineer intervention to protect the systems against the series of attacks. The saved time can be invested in creative and fruitful endeavours.

However, the AI systems are trained and guided by humans and at some places, the need of human engineers is a must as they are capable of looking beyond the anomalies that machines can’t pick-up and confirm the suspected attack is genuine.


The capabilities of AI machines and human intelligence is incomparable because both do their best in keeping the systems safe and secure. The human being cannot spot the threat as early as machines can find and machines can’t work unless they are well-trained timely.

When the intelligence of both- human and AI are combined by the AI app development company, the cybersecurity tools stepping in with the modern context can make the attackers fail in every attempt.

Go beyond the traditional security measures with AI to make the systems secure against the puissant cyber attacks.

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