QUESTION MORE: Can We Trust AI in Cybersecurity?...We are left to wonder how AI impacts decision-making and whether we can trust the results.

Don't forget that what you believe is also a factor in how you choose to use or think about AI.

As with any other piece of tech, AI’s decision-making potential has its advantages and disadvantages. 

• It can safeguard our systems day and night, eliminate human error, and learn from new cyberattacks at the same time. 
• However, it can be attacked like any other component of a security system and these attacks could affect its “mind” in a manner we’re yet to understand.

This makes it critical that we understand the risks and rewards of utilizing AI in cybersecurity before we can consider it as one of our closest allies.

What Is AI Decision-Making in Cybersecurity and Can We Trust It?

BYSEAD FADILPAŠIĆ

PUBLISHED 55 MINUTES AGO

Can AI help us eliminate human error, or does it only adds to the threat?

"As more and more individuals and organizations are welcoming new technologies with open arms, artificial intelligence (AI) and AI-powered decision-making has become impossible to ignore. Important decisions that were once made by humans now can be entrusted to AI’s decision-making expertise. . .

What Is AI Decision-Making?

AI decision-making can be described as the capability of AI-powered systems to carry out data-processing tasks and make decisions with no (or little) help from humans.

By leaving the human factor out of the picture, AI can quantify qualitative data, make more precise predictions, and reach the right decisions. It can tackle complex tasks such as data analysis, data crunching, anomaly detection, and more. Once the task is completed, the final decision is either fully automated or made by humans—if depends on the system.

By taking over tiresome day-to-day tasks, AI frees up our time for more creative, business-focused activities. However, there’s no need to fear that AI will substitute humans in the business process anytime soon.

This AI decision-making process can be split into three core categories:

• Decision support: In this system, human intelligence and AI-powered, data-driven insights are combined to come up with more correct decisions.
• Decision augmentation: Like with the previous system, here AI doesn't aim to substitute humans but to support them in making decisions with multiple alternatives. It utilizes predictive analytics (to find potential outcomes) or prescriptive analytics (to find more options with a specific outcome) to come up with these decisions.
• Decision automation: Unlike the previous two, this system has the task to replace humans by automating their day-to-day decision-making duties.

Since AI is hard to avoid in our present-day world, it’s smart to check out the dangers of AI before we have to deal with them.

What Role Does AI Decision-Making Play in Cybersecurity?

As AI-powered systems have the ability to make decisions and carry out tasks independently of humans, they can analyze larger volumes of risk-related data at a speed that no human being can match. Also, powered by AI, security systems can utilize machine learning (ML) to upgrade their defenses and counter ongoing cyberattacks more competently.

For instance, they can collect real-time data about active cyber threats such as the newest email frauds, and stop unsuspecting victims from clicking on malicious links or downloading malware-infested documents. After all, cyber crimes such as phishing scams and denial-of-service (DoS) attacks are disturbingly common, and a security system that can work like clockwork without sleep or need to take time off to upgrade its cybercrime tactics is a powerful ally.

All three sorts of AI decision-making processes (support, augmentation, and automation) can be utilized to strengthen cybersecurity.. . ."

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