For sure, artificial intelligence (AI) and machine learning (ML) are among the best solutions for preventing and fighting cyber threats, scams, and frauds. When it comes to email security then, which remains the main vector of attacks, artificial intelligence and machine learning become essential.
What makes AI and ML so important in the digital world, especially in email protection, is precisely the change in the behavior of hackers and cybercriminals. In the past, we could use the word "bulk" to determine the prevailing type of attack.
Campaigns were built almost exclusively with a focus on a large number of people, following the philosophy of "the more people I reach, the better." I'm not saying that those campaigns don't exist anymore. They do, for sure. We know, for example, in the case of emails, that thousands of spam campaigns are created every day to reach millions of people.
But now there is another factor. The mass campaign model has made room for the specialized campaign model. That's why in the world of information security we hear and read expressions like "protection against targeted attacks", "BEC” (Business Email Compromise) and "spear phishing". This means that the attackers are studying their victims better, using different techniques, including social engineering.
Attackers change, technologies change, and protection systems change. The old way of fighting threats using static and closed systems based only on rules and signatures no longer works so perfectly. And this is where artificial intelligence and machine learning come in.
Artificial intelligence and machine learning applied in email security
New problems and situations require new solutions. The most modern information security companies use AI and ML to identify deviations and anomalies, and combat the endless new types of threats and attacks that arise with the dawn of each day.
Much has been said about security awareness, how important it is to train employees and partners to keep the company safe. In these trainings, artificial intelligence works very well as an education tool, for example. How? Simulating attacks and providing data that can point to potential gaps in the company's security system.
And what is the role of machine learning in all this? Machine learning is behind the algorithms that examine large volumes of data and allow artificial intelligence to evolve and learn more and more. So, in the case of emails, AI and ML's magic is to understand, detect and filter legitimate emails, malicious emails and potentially dangerous emails.
Through a full email scan, for example, a system based on AI and ML can analyze the intent of a message and indicate a behavior, which makes it easier to detect a threat. This is why AI and ML are a good response to targeted attacks, such as BEC.
Now you know how and why artificial intelligence and machine learning are important features for email security and business protection. If you have any doubts, let’s us know: email@example.com.