In the near future, Artificial intelligence could alter the existing image of cybersecurity. By using intelligent recognition or predicting people’s behavior, it is possible to respond in many threatening situations, even to prevent cyber attacks. But whenever one advanced technology evolves, it is usually followed by malicious intents of individuals or groups that will use the same technology for criminal purposes.
We already witnessed how AI can be a great servant; however, in the wrong hands, it becomes a dangerous weapon.
Hackers are using AI technology to overcome security shields based on cognitive intelligence, but also to advance their own malware and improve attacking strategy.
To defeat AI-based protection systems, hackers will make several attempts through which they collect enough data about the system itself. But they also apply Deep Learning to attack and eventually break the existing AI protection.
Hackers use AI to hide codes in benign apps. Malicious codes are programmed to activate only after a specific time when the app has attracted a sufficient number of users. These codes can be present for years, waiting for the moment the app is most vulnerable.
Usually, such applications use features like authentication or voice or visual recognition. Attackers most commonly use the same functions as a trigger for AI cyberattacks.
Lastly, as AI identifies suspicious activity by detecting unusual operations in a computing environment, hackers can leverage by creating malware AI software able to learn computer operations automatically. Therefore, they are capable of performing unnoticed attacks that will drown in the existing security environment and mimic trusted system functions.
Machine Learning has proven to be a handy tool against cybersecurity. Even today, it finds some excellent solutions to fight criminal acts with no need for any human impact. But most importantly, AI has the ability to prevent hacker attacks and other malicious incidents, rather than repair the consequences. With damage control, it can significantly reduce both time and money invested in cybersecurity.
There are many different aspects of how AI can be deployed in security systems:
AI tools can identify anomalies in the system by finding malware software programs whose behavior differs from standard computing operations. Unlike previous antiviruses that required database scans in critical situations, AI antivirus systems are immediately blocking access to the system.
2.Preventing Takeover Attacks
Takeover Attack is the unauthorized use of someone’s account for criminal purposes. Machine Learning detects such irregular behaviors as an anomaly so that similar frauds can be detected within a record period and an administrator can be notified as soon as possible.
3. Preventing Phishing Attacks
Most of the dangerous links are still sent via email. Hackers use mail addresses of stolen identities, so AI can use deep scan and imitate clicks on submitted links to identify suspicious activities.
4. Automatic Continuous Monitoring
User activity generates a massive quantity of data that is impossible to analyze with human impact. Automated system analysis involves continuous monitoring, and therefore the ability to immediately detect security violation attempts.
Intelligent systems can protect us from many unwanted events, but we can’t ignore the intelligence that is on the other side. Security communities must always be one step ahead to prevent attacks and create adequate defense measures.