Security Management Trends in 2022
In the crisis time of Covid-19 majority of employees works from home and work remotely. But at this time many attackers are free at home for doing new practices of attacks. Due to working remotely, cybersecurity has more important.
For this we are discussing new trends in cybersecurity below:
Usage of Machine Learning
Machine Learning can play a more vital role in security operations in data centers. Machine Learning is a concept of self-learning by machines or systems like humans. Humans are learning things continuously by seeing, feeling, or performing any activity like this machine can develop its security aspects by analysis of security incidents and inputs from attacks. Machine Learning can be more effective in more requests for eg: if 5000+ requests per second are logged then it becomes difficult to humans to analyze every request but a machine learning-based system can help in identifying the traffic which is sophisticated or malicious.
Use of Multiple security systems seamlessly
There are many security solutions are present for different functions. But attackers are aware with security system loopholes and threats can pass away from single security but if we use multiple security systems for every single traffic then it’s more difficult for attackers or threats to pass away from networks.
Identify the new threats to perimeters
There is no any range of perimeters of threats and daily new perimeters of threats developing by attackers or security device providers as well. We have to analyze the identity and type of attack in traffic and make up-to-date security points that can block that types of threats.
