Find out more about how A.I. can either strengthen your cybersecurity or put you at risk.

Artificial Intelligence and Machine Learning are revolutionizing various fields, including cybersecurity. While they are being used to enhance data security, there are concerns about their unpredictability leading to more cyber threats. Can A.I. replace cybersecurity experts? Here are the pros and cons to help you decide.


Artificial Intelligence (A.I.) is a type of technology that allows machines to perform tasks that typically require human intelligence, such as decision-making, data analysis, speech and biometrics recognition, and language translation. Machine Learning (M.L.) is a subcategory of A.I. that allows machines to learn from data, improving over time as they do “deep learning” with information put in by humans. A.I. and M.L. learns, improves, and performs complex tasks, making them valuable in many different industries such as Banking, Healthcare, Real Estate, and Cybersecurity. A.I. programs can complete repetitive tasks faster and with less cost. While this speed of deep learning and improvement can be helpful, it also has downsides that may be detrimental to the same industries it benefits.


1.      BOOSTS PRODUCTIVITY – A.I. analyzes and interprets large amounts of data in a fraction of the time it would take for humans. A.I. can help process security checks, boost productivity, and respond to threats faster.

2.      SAVES BOTH TIME AND MONEY –Routine tasks can be automated which saves both time and money for many companies. A.I. is also able to identify threats with more accuracy and efficiency, reducing manual labor and allowing cybersecurity experts to focus on other tasks.

3.      FIGHTS FASTER AGAINST MALWARE – A.I. identifies patterns in code, network traffic, and other indicators of malware, which it then uses to detect and respond to threats at lightning speed. By using machine learning algorithms, A.I. can continuously adapt to new threats without constant surveillance.

4.      IMPROVES BIOMETRIC AUTHENTICATION – Many apps that we use everyday require biometric authentication such as fingerprint and facial recognition rather than passwords. A.I. detects recorded fingerprints and faces faster than programs coded by humans, making authentication faster and more reliable. 


1.      SUSCEPTIBLE TO HACKING – Cybercriminals can exploit weaknesses in an A.I. program’s code to introduce malware into a system, along with manipulating the A.I. to misread hidden threats. This can lead to dangerous consequences especially to infrastructure systems such as transportation, energy, or water supply.

2.      THREAT TO DIGITAL PRIVACY – While A.I. greatly aids in biometric authentication, this will lead to catastrophic data breaches when put in the wrong hands. If the data gathered by the A.I. is not properly secured, it can lead to identity theft and impersonation.

3.      COSTLY TO IMPLEMENT – Despite its fast growth, A.I. is still in its early experimental stages especially in cybersecurity. Implementation of code that may lead to mistakes is a costly risk not all companies are equipped and financially able to take.

4.      MALWARE CREATION – Just as A.I. can create helpful programs, it can also create malicious ones. A.I. when in the wrong hands can lead to malware being placed inside programs that may seem legitimate and secured. Malicious A.I. can create code that bypasses security defenses, making its intelligence very dangerous. 


The answer is both a yes and a no, as it depends on how it is used. While it can be a great help to many organizations and make time-consuming tasks easier for I.T. professionals, it can also lead to data breaches, leaking of information, and the spread of malware. As professionals in the I.T. field, it is our responsibility to work with A.I. in a way that not only benefits our careers, but also the future of technology.

The use of A.I. is only part of the many exciting new developments in cybersecurity. Get to know more tips about how to strengthen your defense against threats online with Microgenesis.