Security Information and Event Management or SIEM is a way of handling security management by combining two significant aspects. These are Security Information Management (SIM) and Security Event Management (SEM). The two are incorporated into one security management framework for the best threat detection
The primary responsibility of a SIEM is to collect relevant alerts from different sources and plan a response. For example, when there is a threat alert, first, there will be an analysis to determine the legitimacy of the warning. Afterward, a SIEM might log more information, stage an alarm, or educate other security controls as a response to the threat. This then prevents further threat advancement.
Past SIEMs used signatures alone to recognize strange behaviors. Today’s advanced SIEMs also generate connection leads to surface an extensive scope or unfamiliar conduct and events. Once you come to know how they operate, you need to alter a few assets and guidelines to suit the needs of your business. All these connection guidelines have a place in a SIEM used to build a proper security operation center.
Connection Rules of threat detection
Using a correlation rule or a fact rule will help express and build a framework that can be operational when an event occurs. For example, ‘If the PC has a virus, notify the client.’ In short, a correlation rule is a set of conditions used to trigger a response. However, these rules are not smart since they do not survey historical events in relation to the current occurrence.
A good example is when such a rule only gives an update of a virus today, without caring if the same virus was present yesterday or if the two viruses are associated.
In the same concern, the assessing or correlation rules happen every time a set is executed without any further assessment of the rule. You can either have basic correlation rules that do not need a workforce to run them or composite ones that handle event combinations. Basic principles help to distinguish between an event type and trigger reactions. If there is a ZIP documented connected to an email, an alert is raised.
Composite principles are distinct, in that they combine two rules to manifest a progressive and unpredictable behavior. For example, if authentication fails on one PC around seven times for the same IP address within ten minutes and then there is a distinctive client’s name who happens to log in on the PC when this happens to start the same IP address an alert is raised.
Models of threat detection
Once a model recognizes a strange behavior, it uses correlation rules to assess and stage an alarm to this effect. It is possible to characterize rules in a model to give distinctive conduct types. Models rely on your capacity to give meaning to an unordinary behavior. They also rely on the framework’s ability to evaluate and surface such issues. You do not have to have a profound understanding of any threat.
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