Combatting Attacks
The analysis of data access, transfer, and traffic as well as the identification of outliers or abnormalities in data patterns are all excellent tasks for more recent AI algorithms. If something odd is found, the AI algorithms may examine the data more closely to determine whether the system has any security holes. AI developers are also better equipped to employ AI model management to keep up with changing threats and provide more relevant answers.
Operationalizing Cybersecurity
In addition to being used to stop cybercrime, AI is being employed all over the world to expedite operations and take strain off corporate cybersecurity teams. IT security professionals are worn out by the complexity and volume of cyberattacks that are on the rise. As a highly scalable technology, machine learning is commonly used to support IT security personnel’s efforts to monitor, detect, and eradicate hazards.
Simulation
In order for cybersecurity teams to better understand their key weaknesses and how to counteract them when assaults do occur, AI is also being used to simulate network attacks. With the use of AI, it is now possible to simulate how threat actors could move laterally through a network looking for vulnerabilities.
Conclusion
The development of artificial intelligence will have a significant role in defining the following several decades, at least in terms of technology. Like any new technology, it will be used by evildoers to steal, extort, and do damage in ways that are simpler, harder to catch, and harder to stop.
To read our blog on “How To review the cybersecurity of your Apple devices,” click here.
