Artificial Intelligence (AI) is disrupting various aspects and sectors of our society. This technology, which is here to stay and continues to evolve, initially aimed to make our lives easier and provide support in areas where the execution of certain manual tasks required too much effort, time, and money to accomplish
However, over the years, the objectives for the use of Artificial Intelligence have also evolved, taking it a step further. For example, in terms of cybersecurity, in an increasingly digitized world where cyberattacks are also becoming more sophisticated and evolving, it has been proven that Artificial Intelligence can be of great help in prevention, and in some cases, the elimination of these threats. Nevertheless, just as this Artificial Intelligence can serve as a means of protection, it can also become the source of cyberattacks.
But in this article, we want to focus on the positive aspects that Artificial Intelligence brings to us in terms of cybersecurity and why one should consider investing in computer security technologies based on this technology.
Artificial Intelligence has the capability to perform predictive analysis, allowing it to prevent future threats. For example, it can trace patterns to identify which IP addresses are more likely to be targeted, as well as the types of cyberattacks or threats that may occur. It's a way to gain a deep understanding of the system and determine the types of vulnerabilities or security gaps that exist.
The Petam.io tool is an online scanner for detecting vulnerabilities and security breaches in a system, based on Artificial Intelligence. Thanks to the use of Artificial Intelligence, Petam.io can analyze large amounts of information and detect patterns that indicate a potential vulnerability, allowing it to anticipate a possible threat. This includes user behavior analysis, network traffic, and system activity logs.
Artificial Intelligence is also capable of searching for and finding behavior patterns. This allows the detection of irregular behavior patterns in the operation or performance of the system, all automatically.
An example could be when an unauthorized third party attempts to access confidential information or a company account, and there have been too many failed login attempts.
Zero-day attacks are those new threats for which there are no preventive measures or cybersecurity solutions available yet, as they are brand new. Thanks to Artificial Intelligence, these threats can also be detected through predictive analysis before they can infect a system.
Artificial Intelligence can be used to assess the level of computer security of a company and protect its systems more efficiently, effectively, and automatically.
Below are some examples of how it can be used:
Automated penetration testing: Artificial Intelligence can be used to simulate attacks and detect potential vulnerabilities in computer systems. At ESED, we employ this in our ethical hacking solution, ESED Attack.
Log analysis: AI can use machine learning techniques to analyze information collected about user actions, system errors, and unauthorized access attempts, among other events, to detect patterns and anomalies that may indicate potential attacks.
Malware detection: Thanks to its predictive analysis techniques, AI can be used to detect any malicious software (viruses, worms, trojans, spyware, ransomware, among others).
Risk analysis: Artificial intelligence can assess factors such as the likelihood of a threat and its potential impact on the systems in question."
They improve process speed and efficiency: With AI, repetitive tasks can be automated, and assessment processes can be optimized. This helps in obtaining results more rapidly and efficiently.
Greater precision: Artificial Intelligence can analyze large amounts of data and detect patterns that might go unnoticed by the human eye, minimizing errors.
Minimizes human factor errors: Tied a bit to the previous point, Artificial Intelligence ensures a lower number of human errors since it relies on deep patterns and predictions.
Fast threat detection: AI tools are capable of identifying threats more quickly, as they can analyze a large amount of data and behavioral patterns within minutes. This allows for action to be taken long before the threat infects the system.
At ESED, as specialists in cybersecurity and IT services, we are aware that Artificial Intelligence is the future. That's why our leading cybersecurity solutions leverage this technology.
To understand the threats a system faces, we work with an ethical hacking solution known as ESED Attack. This involves launching controlled and harmless attacks against a system to identify its vulnerabilities and security gaps. This way, we can determine the types of threats it is most vulnerable to and find the appropriate cybersecurity solutions.
We also offer an Artificial Intelligence-based anti-phishing solution. This involves deploying a system that modifies the email reception flow to ensure that only emails filtered by our system are accepted, rejecting any threat attempts.
Phishing emails are the primary source of malware entry into a system or IT infrastructure; that's why it's crucial to protect against them.
Another Artificial Intelligence-based solution we offer is a firewall based on Deep Learning. The use of this technology enables the fast and effective detection of unknown malware hidden in suspicious payloads.
Furthermore, we work with an XDR (Endpoint Detection and Response) solution. The Endpoint XDR allows us to trace the origin of the threat, isolate endangered devices to prevent its spread, and automatically eliminate it.
"Working with these AI-based solutions enables us to be much more efficient, precise, and, above all, anticipate any type of threat, including zero-day threats, which are the most challenging to detect in a timely manner."
Choosing cybersecurity solutions based on Artificial Intelligence will undoubtedly make your cybersecurity strategy more effective and significantly reduce risks.