Traditional, common security measures may no longer be sufficient to protect information and systems in an era where threats are becoming increasingly sophisticated. Technologies that not only enhance security mechanisms but also predict threats and ensure effective and swift responses have thus become indispensable in the field of cybersecurity.
In this context, the powerful duo of Artificial Intelligence (AI) and Machine Learning (ML) can make a crucial difference between successful and unsuccessful responses to threats and dangers. The combination of AI’s decision-making and problem-solving capabilities with ML, a subset of artificial intelligence that uses algorithms to identify patterns in data, has proven particularly suitable for the following purposes:
Threat Detection: AI and ML can analyze large volumes of data to identify new patterns or unusual behaviors that may indicate a security threat.
Response Automation: With the help of AI, it is possible to ensure faster responses than would be possible using any other method. AI tools can simultaneously detect threats and respond to them, such as by automatically blocking malicious IP addresses or infected systems.
Predictive Analysis: AI and ML can, through the analysis of previous attacks and detected weak segments in the security infrastructure, accurately predict the “path” of a potential future attack and indicate what needs to be done to prevent it.
The implementation of these technologies, however, is not without its challenges. For the responses obtained from them to be relevant, it is necessary to provide vast sets of accurate data, which is often not the case; there is a shortage of professionals with specialized knowledge in this field; and ethical issues, such as balancing security and privacy—which accompany the use of all modern AI technologies—are also present here.
Nevertheless, the benefits that organizations can gain from applying these technologies seem substantial enough to justify further investments in their integration into existing systems. Finding new ways to ensure effective synergy between human and artificial intelligence is one of the aspects that could be crucial in the future for ensuring quality prevention and response to cyber threats. Overcoming the current challenges in this area and establishing a stable system based on AI and ML could mark an entirely new chapter in cybersecurity.
Nina Perišić
Membership Coordinator
