SIEM Tools, create an image and crop live video into different windows using Python.

Neeraj Nawale
6 min readMar 29, 2022


This article contains information about what is SIEM, why is it important and which tools are essential in real world. Also, how to create an image using cv2 and numpy module as well as code to crop live video into different windows.

What is SIEM?

Security Information and Event Management (SIEM) is a cybersecurity term where software services and products combine two systems — Security Information Management (SIM) & Security Event Management (SEM).


SIEM tools leverage the concept of SIEM to provide real-time security analysis using alerts that network hardware and applications generate. They collect security events and logs data from multiple sources, including security applications and software, network devices, and endpoints like PCs and servers. SIEM tools facilitate incident response, threat monitoring, event correlation, collecting and building reports, and analyzing data. They also alert you upon detecting a security threat immediately so you can take action before it can cause any harm.

Why is SIEM important?

As cybersecurity concerns rise, organizations need a solid security infrastructure to protect their customer and business data while safeguarding their business reputation and possible compliance issues.
SIEM has become a core security component of modern organizations. The main reason is that every user or tracker leaves behind a virtual trail in a network’s log data. SIEM systems are designed to use this log data in order to generate insight into past attacks and events. A SIEM system not only identifies that an attack has happened, but allows you to see how and why it happened as well.

SIEM offers such a technology to track an attacker’s virtual footprints to get insights into previous events and associated attacks. It helps identify the origin of an attack and find a suitable remedy when there’s still time.
SIEM addresses this problem by detecting attack activity and assessing it against past behavior on the network. A SIEM system has the ability to distinguish between legitimate use and a malicious attack. This helps to increase a system’s incident protection and avoid damage to systems and virtual property.

Benefits of a SIEM Tool ::

  • SIEM tools use past and present data to determine attack vectors.
  • They can identify the cause of attacks.
  • Detect activities and examine threats based on previous behaviors.
  • Help protect your business reputation and sustain customer trust and avoid penalties.
  • Increase your system or app incident protection to avoid damages to virtual properties and network structures.

SIEM Issues

  1. More data does not mean better detection
    One of the most common failings I have seen is a SIEM overstuffed with useless data. This occurs when even a simple search takes seconds or longer to complete. If an analyst constantly must wait for a search to finish, then he or she is being trained over time to choose what is worth searching for — whatever is returned the fastest.
  2. Lack of context
    A SIEM should be built by analysts, for analysts. This means that when an analyst is reviewing alerts or logs, the SIEM should provide context and information in a meaningful way. Fortunately, log enrichment, or the art of adding context to a log, is something a SIEM is extremely successful at. Unfortunately, most SIEM implementations prioritize data collection over log enrichment.
  3. Too much maintenance
    If you spend 80% of your time performing maintenance tasks like deploying agents, parsing logs, or performing upgrades, then you are likely not getting the maximum value from your SIEM. Automation is critical to a successful SIEM implementation. Your environment is constantly changing, and automation is necessary to keep up with it so you can better spend your time on implementing tactical capabilities.

Some of the best SIEM tools

  • IBM QRadar

QRadar can correlate different data and aggregate related events into a single alert for quick incident analysis and prevention. It can also generate alerts on priority along with attack progress in the kill chain.
QRadar ensures you comply with external regulations and internal policies by offering templates and pre-built reports that you can customize and generate within minutes.

  • Graylog

It is one of the fastest centralized log gathering and analysis tools for your application stack, IT operations, and security operations. With SIEM, Anomaly Detection, and User Entity Behavior Analytics (UEBA) capabilities, Graylog provides security teams with even greater confidence, productivity, and expertise to mitigate risks caused by insider threats, credential-based attacks, and other cyber threats.

  • Splunk

The analytics-driven, cloud-based SIEM tool — Splunk lets you detect, investigate, monitor, and respond to cyberthreats. It lets you inject data from on-premise and multi-cloud deployments to gain full visibility on your environments for quick threat detection.
Splunk uses machine learning to detect advanced threats and automates tasks for quicker resolution.

  • LogRhythm

This tool lets you spend time on impactful work rather than maintaining, feeding, and caring for your SIEM solution. It also helps you automate labor-intensive, repetitive work to enable your team to focus on important areas. LogRhythm offers high performance with reduced operating costs to meet the rapidly increasing environment’s scale and complexity.

  • NetWitness

The tool supports 100s of event sources with fast reporting, search facility, and robust threat detection. It saves you from investing money in administrative activities instead of security and compliance to protect your organization more. NetWitness Logs enriches, indexes, and parses logs during the capture time to create session-wise metadata and accelerate analysis and alerting dramatically.

Real world use-cases of SIEM tool

  • Log Management
    Databases, applications, users, and servers generate high amounts of log data. A SIEM tool can normalize and centralize the collection of log data. This enables smooth analysis and security correlation and allows the IT security team to search through the data for finding specific keywords or values.
  • Monitoring loads and uptimes
    With a SIEM system tuned with appropriate correlation rules and alerts, it becomes possible to continuously monitor load, uptime, and response time on various servers and services. This enables catching faults and overloads early, ensuring that downtimes and the cost associated with them are prevented.
  • Tracking system changes
    Set appropriate rules for flagging critical events, such as unauthorized changes to configurations or deletion of audit trails. These changes should be escalated immediately to stop the damage and minimize further risks, as tampering with audit logs is always a red flag.
  • Secure cloud-based applications
    Cloud computing has many advantages, but it also comes with several challenges: meeting new compliance requirements, improving user monitoring and access control, or preparing against possible malware infections and data breaches. A SIEM should support cloud-based applications as log sources, such as Salesforce, Office365, or AWS, to extend compliance monitoring and threat detection to the cloud.

Create an image using cv2 and numpy module as well as code to crop live video into different windows ::

GitHub Link :: Click Here


SIEM is a technology that aggregates logs via data correlation allowing security analyst to sift through tons of information generated by network devices. Security concerns can be sorted by risk factor providing immediate action to reduce the attack surface and provide network health.

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