SIEM-Incorporating Incident Response into Network Security
Security Information and Event Management - Network Security
Last updated
Security Information and Event Management - Network Security
Last updated
Hey There,
The task of Threat Analysis, documentation, and identification, on multiple devices, connected to a network, is by means, very tiresome. Imagine threat analysts having to go through devices (IoT, BYOD), etc, which do not fit the security policies in place.
It requires an extensive need of tools, frameworks, precautions, which can consume valuable time, while the threat actor manning those devices initiates an attack.
Security Information and Event Management (SIEM), is an application of Network Security, implemented on an organization’s connectivity framework, that provides real-time threat alerts to threat analysts when a suspicious device has connected to the organization’s network. The analysts can then snuff out the danger, from the network, using the appropriate tools. It takes the help of trends, observed from historical records (device logs), which can be used as part of the identification of threats. Its Event Management System improves investigative efficiency and reduces time wasted on false positives.
Automation is crucial in today’s world, making its presence known in a variety of industrial fields. Naturally, its need became paramount in the world of Cyber Security, taking steps in the incident response and initial device scanning processes. Automation also made its way to SIEM.
SIEM’s have inbuilt threat intelligence services, that perform analytical tests on a device and then check its logs for further suspicious activity. Indicators of Compromise are also watched out for. If the device poses no risk, it is given the all-clear. Devices can range from physical to virtual ones connected to a cloud.
The device logs and security alerts are then stored on a centralized server, for reference, in case of a breach.
If the worst-case scenario happens, the device is flagged, threat alerts are sounded out in real-time, and steps are taken to eliminate the threat source.
SIEM possesses analytic tools, such as User Entity Behaviour Analytics (UBEA), that help shed light on user anomaly and suspicious behavior of users. Users are not necessarily confined to humans, but consider machines too. This is especially useful, in the case of Insider Threats. Threats/User Anomaly Observed:-
Brute Force attacks
DDOS Attacks
File System Attacks
When realization dawned, that information, in any form could be valuable and could be used for good or bad intentions, it gave rise to a few standard data regulations frameworks, that we are aware of, namely GDPR, HIPAA, PCI-DSS, etc.
Implementing SIEM, could ensure the secure management of databases, containing information, provide access control to concerned personnel and provide real-time alerts for breaches and other incidents
SIEM Framework
Initially, Organizations do not side with regulatory compliance. Such ignorance was constantly targeted with cyber attacks, along with data breaches. On top of the pile, they had to pay up fines for not following compliance rules.
Imagine valuable data of individuals being stolen, which contains identifiable info, sensitive information, and a lot more. A lot of trust is placed by individuals, upon an entity to store their data. The least that could be done is to follow the standard rules in place. Infamous examples are the TJX data breach of 2007 (PCI-DSS) and the WellPoint data breach of 2010 (HIPAA).
Eventually, entities started realizing its need, for the current scenario and though it has not led to decreased rates of leaking information, it has put a structured security framework in its place, with policies and standards to be adhered to. Security reports are generated for the organization, helping to meet compliance and keeping track of logged security events.
Automated Threat Detection and timely alerts
Increased Efficiency
Cost-effective
Intelligent, in terms of classification of threats.
Initially, configuring and setting up SIEM, on each endpoint of the network, was a tedious task. Simply put, a skilled workforce needs to be available, to do the work.
Manually sifting through each device’s log records. Pretty time-consuming.
NOTE: This was prevalent in the yesteryear SIEM implementation models
SIEM simplifies integration and deployment, by the use of a real-time, asset discovery and device configuration engine. It can manage an inventory of devices connected to the network, forming a topology and relationships between devices. This correlation between endpoints find application in forensic investigations and reconnaissance
The records compiled in the centralized server, act as a reference, in detecting new attack patterns and indicators of compromise, which are identified and can be prevented from the next attack instance.
In conclusion, the emergence of next-generation SIEM software, such as FireEye and FortiSIEM are more advanced than their legacy counterparts and help sustain the need for Network Security defense.
For those who missed my previous piece on the unraveling of the Markovian Parallax Denigrate mystery, you can view it here
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