In the coming years, IT security companies will face extreme challenges. Hackers target people instead of systems. The most costly cyber-attacks (APTs, ransomware) occur from employee mistakes or abuse of privileges held by third-party providers, as a social engineering attack is much easier than finding a zero-day.
Traditional IT security perimeter defense tools, such as password authentication accessς είναι απαραίτητα, αλλά ανεπαρκή για την ανίχνευση κατάχρησης προνομιακών λογαριασμών ή για hijacked διαπιστευτήρια.
As soon as the attackers find themselves inside the network, they use legitimate user accounts to access sensitive data. Only then their behavior is the missing link in the detection and prevention of intervention. And this can be done in real time during the attack.
Behavioral security models know how a worker's mouse moves, or how it is typing. He usually navigates and the type of work he does.
Security's focus on the activity of privileged users, who have unrestricted access to sensitive data, doesn't seem to be all that helpful with the new attacks. The market needs solutions that are able to monitor all the important parts of the system, extract as many as possible information they can from the connections/user sessions, learning behaviors.
Due to the amount of data that will be generated, the artificial intelligence will play an important role in the coming years, turning data into valuable security information.
The algorithms that learn from Big Data alone in IT security companies will be able to automate data processing and allow security professionals to focus on real high priority risks.
Such behavioral Analytics solutions are relatively new to the market, but their integration into existing IT environments for data processing will be vital in the near future.
