Artificial Intelligence in Cybersecurity – Ally or New Threat?

Artificial intelligence (AI) is becoming an increasingly advanced tool in cybersecurity. It already helps many organizations in real-time threat detection, anomaly analysis, and automation of defense against cyber attacks. However, the development of this technology also has its dark sides – cybercriminals use AI to carry out increasingly sophisticated attacks. So is artificial intelligence our ally in data protection, or does it pose another threat?

How can artificial intelligence be used in cybersecurity?

Artificial intelligence plays an increasingly important role in the field of cybersecurity, enabling organizations to detect, analyze, and respond to threats more efficiently and faster than traditional methods. Through machine learning, AI can identify unusual patterns in data and automatically detect anomalies, allowing for quick responses to potential attacks. It is also used in identity and access management, e.g., through biometric technologies, as well as in automating incident responses, minimizing reaction time and reducing human errors. Moreover, modern approaches in artificial intelligence, such as explainable AI (XAI), allow for the interpretation of decisions made by algorithms. Thanks to this technology, security specialists can more accurately monitor what decisions AI makes, enabling better management of security systems and faster detection of potential irregularities. With AI, organizations can more effectively protect their data and infrastructure against increasingly advanced cyber threats.

How can artificial intelligence help ensure data security?

Artificial intelligence is becoming one of the most effective allies in the fight for data security. Traditional protection systems often prove to be insufficient. AI changes the rules of the game because it not only detects threats faster than humans but can also automatically respond to them. Let's imagine artificial intelligence as a digital guardian that doesn't sleep, doesn't rest, and doesn't get deceived by appearances. It analyzes network traffic, captures unusual behaviors, and alerts when something deviates from the norm. If a hacker tries to take control of the system or impersonate a user, AI immediately recognizes them – just as an experienced security guard would spot a suspicious guest in a crowd.

Moreover, AI can secure data even before an attack occurs. Through advanced encryption, dynamic access management, or risk analysis, artificial intelligence-based systems can predict potential threats and strengthen protection where it's most needed. Modern companies, banks, and institutions cannot afford to be slow – cybersecurity today is a matter of survival. However, we must not forget that AI is just a tool – powerful, but requiring proper control. Just as it can protect our data, in the wrong hands, it can become a weapon for stealing it. That's why it's so important not only to use this technology wisely but also to care about AI security – its resistance to manipulation, unauthorized use, and errors.

How is artificial intelligence used in cyber attacks?

• Automation of break-ins,

• generation of convincing phishing messages

• or bypassing security systems

are just some of the methods that have become more dangerous than ever thanks to AI. This is precisely the other side of the coin, because just as artificial intelligence can protect our data, it can also be used against it. Cybercriminals quickly saw its potential and began using AI to carry out increasingly sophisticated attacks. One of the biggest threats is deepfake, which we wrote about in one of the articles on the Sapsan blog, a technology that allows for the creation of realistic but fake video and audio materials. Hackers can use it to impersonate company employees or bank customers, manipulating biometric authentication systems. Artificial intelligence also helps them analyze security measures – instead of laboriously testing for system vulnerabilities, AI independently detects them and suggests the best method of attack.

Moreover, cybercriminals use AI to conduct so-called autonomous attacks, in which algorithms themselves decide how to infect a system, when to attack, and how to spread malicious software! That is why AI security is becoming one of the most important recent challenges in the field of cyber protection – it's no longer just about securing data but also about protecting artificial intelligence itself from being used for malicious purposes. It must be admitted that in this "arms race," every innovation can become both a shield and a sword.

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