Cyber security is a very important sector today because Personal data has become the linchpin of the global economyWe see a very rapid rise of various models of artificial intelligence capable of organizing and analyzing huge amounts of data. We have an ever-increasing presence on social media and increased use of cloud: platforms and services provided by multinationals that centralize big data in unprecedented quantities, ways and forms.
Vulnerable data not only to ambiguous and improper uses for unauthorized profiling and model training. But also prey of hackers who can use them for scams or for Illegal uses on the dark web: hidden parts, unknown and inaccessible to most people in which they grow black markets and from which they can also arise global cybersecurity threats.
Then a Cybersecurity is called to keep pace. In fact, it is the only sector that can seriously act as a counterbalance to digital progress, thus balancing its most dangerous and uncontrollable consequences.
Let's be clear: obviously progress is not only negative.
They remain however concrete worrying consequences which can not only threaten the data security and people's privacy… but which can determine many aspects of the entire socio-economic fabric, influencing the human being, his perception and therefore the culture , civilization.
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DarkBERT and Advanced Cybersecurity Alternatives
Let's see now, beyond the theory, which are the actors that are refining cybersecurity solutions.
DarkBERT was born from a group of South Korean researchers KAIST in collaboration with the company S2WThis project aims to address the growing increase in illicit activities taking place on the dark web. It is about an artificial intelligence that explores the darkest parts of the network by proactively analyzing data and identifying potential vulnerabilities and hidden threats, to prevent them and provide ways to counter them. Its action includes the Detection of malware, ransomware and illegal discussions.
We are talking about a unique and powerful tool that has just begun to spread and is not yet accessible to the public. For now it is reserved for academic and research purposes and can be explored further in this official paper.
However, It is known that S2W, a company that collaborates with KAIST on DarkBERT, offers AI-based solutions for national and public cybersecurity. DarkBERT. This information gives us a glimpse into a possible future of DarkBERT and on other differently specific actors.
IBM Watson: Advanced Modular Platform
Watson is from IBM: one of the most important companies in the world that is working with AI. We are talking about an advanced modular and widely used platform that uses artificial intelligence to collect and analyze data from different sources in real time. It can then also identify hidden threats and provide recommendations for responding to attacks. Using the machine learning algorithm , becomes more and more effective in identifying new vulnerabilities, improving its defenses over time.
Darktrace: Immune System for Cyber Security of Corporate Infrastructures
Dark Trace has a unique approach based on a “digital immune system”. This technology observes the normal behavior of a network and immediately identifies anomalies that could indicate an attack. Thanks to this system it has the ability to detect advanced threats, such as zero-day attacks and insider threats, responding in real time and continuously adapting to protect enterprise infrastructure.
Vectra AI for Behavioral Analytics
Vectra AI stands out for its focus on behavioral analysis for detect sophisticated threats, such as evasion-based attacks or lateral movements within a networkThe platform provides a proactive view of cybersecurity, reducing response times and improving the ability to prevent future attacks.
BlackBerry's Cylance Predicts Cybersecurity Threats
Cylance on the other hand is the pioneer in the use of predictive AI. Unlike traditional solutions that rely on signatures or databases of known threats, this BlackBerry service uses predictive models to block malware and unknown threats. Its lightweight and fast technology adapts to various IT environments, providing continuous protection without interrupting business operations.
Are these technologies sufficient to counter existing and emerging threats?
These technologies represent significant advances in cybersecurity at multiple levels. However, the answer to this question remains complex. Cyber threats continue to evolve rapidly, exploiting new vulnerabilities and techniques that are not written in any manual. Therefore, it is necessary that these technologies are constantly updated and integrated with other security strategies.
In this perspective, the contribution and support of artificial intelligence can guarantee unprecedented speed of learning and adaptation, with capabilities proportionate to the threats.
We just have to stay updated to find out more… and what do you think?
