Cyber Security Checklist for Any Organization

Those who aren't familiar with cybersecurity may believe that detection occurs whenever anything is wrong. However, an excellent detection indicates the likelihood of anything going wrong. Thus, every organization's Security Operations Center(SOC)team must follow the principles of cyber security to recognize threats efficiently.

What qualities do you think a good threat detection process should have?Is it when you receive threat notifications,or if you get an alert but it never gets processed due to alert fatigue?And is it even possible to have an ideal detecting system?Let's run over a quick cyber security audit checklist to see how organizations can improve detection quality.

Choose Which Threat to Detect

Ensure that your threat detection technology is adequate and effective, encompassing diverse aspects and layers. An overlapping security solution is best for this purpose since it catches some critical characteristics on one layer that might be missed on another. It's a great solution if you can match data from various sources and deploy detection algorithms across several systems and security platforms.

The detection depth is split into three layers by the data sources:

●Logs(via full SIEM or CLM)
●Endpoint(via EDR)
●Network(via NTA/NDR or a NIDS/NIPS)

Screening threats numerous times on different layers of cybersecurity can help create more awareness,provide extra information and reveal hidden benefits.

Data Sorting Before Detection

The accuracy of detections is related to the accuracy of the data.So,you must ensure that the data used to train a neural network model is correct,timely and adequate.

The following threat detection process strategies can help you improve the SIEM/SOAR data quality that you employ for detections:

●Check that you have all the necessary logs:You must prioritize log sources.While collecting logs,you must understand which,why,and how.
●Parse logs correctly:Parsing can sometimes finish on its own and if not implemented appropriately,it can lead to huge data reduction.As a result,you're attempting to identify anything in a 30% decreased log collection, implying you're overlooking information,gathering irrelevant data and restricting threat detection.
●MITRE ATT&CK Mapping.Maintaining an ATT&CK mapping in your SIEM is critical since it is more effective to follow specified behavior rather than evaluating log data.The lack of a specific log in a particular sequence of events could signal a cyberattack.Thus,understanding and correlating behaviors through mapping can help you detect the threat quickly and effectively.

Stay in Flux During the Detection Process

Excellent high-quality detection methods identify a pattern instead of a particular sign,which is far more effective in terms of cybersecurity.

If your threat detection process identifies the logic of behavior,it may be possible to detect an attack by different players at different stages.

Employing specific rules in the process will help make your SIEM lighter,speedier and less expensive.The SOC team will not have to manage as much trash data,allowing them to focus on more essential duties with meaningful data.

When a rule recognizes a technique,it becomes more difficult for attackers to evade detection.Signals make scaling detections difficult and systematize them in a way that is beneficial to analysts and response teams.Behaviors scale efficiently,allowing for the identification of previously unknown vulnerabilities.

Similarly,the value of threat hunting,vulnerability scanning and pen testing cannot be overstated when prioritized.It is better to learn about your network's weak spots and darkest corners to be informed.

Analyze the Outcomes Following Detection

A useful threat detection technology to check detection quality is judging attack alerts. The first step is to evaluate the data prior to detection followed by what occurs during the detection phase, and finally, accessing the outcome. When establishing the quality of detections, other alerts such as those generated by pen testing are also considered.

Types of Alerts

True Positives and True Negatives: These could indicate a high level of detection quality. You might not have been hacked yet because the cyber attackers weren't specifically targeting your company.

False Positives and False Negatives:These indicate a low but acceptable detection quality.False positives typically result in an excess of alerts,whereas false negatives create a false sense of security.The worst aspect is that you may not notice if the negative alert is true or false.

High Fidelity(hi-fi)or Low Fidelity(lo-fi):For the best results,there must be a balance between both fidelities.Multiple hi-fi signals with little context are equally useful for analytics and timely alertness such as a big number of lo-fi signals with plenty of information.

Shift the Paradigm

While developing a completely reliable plan for your organization's cyber safety,you must consider all cyber security problems and solutions.You need to be innovative to develop a detection path that covers all types of cybersecurity.A paradigm shift is one of the most efficient ways for quality cyber threat detection.

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