SIEM in AIOps Perspective.

Today's environment makes cybersecurity challenges more complicated than ever. Organizations in the commercial world require a proactive strategy to handle sophisticated security attacks. Unlike in the past, there are many different sorts of cyberattacks taken over by commercial enterprises. New-age security solutions have entered the market in response to the growing taxonomy of cyberattacks. A modern security solution that assists corporate companies in protecting their software systems is the AIOPs-enabled SIEM solution.
What is SIEM?
Security information and event management (SIEM) solutions transform security system log entries and events into actionable information using rules and statistical correlations. Security and ITOps teams can use this information to manage incident response better, conduct forensic investigations into previous security occurrences, and prepare audits for compliance requirements.
How does it work?
To conduct analysis and present a comprehensive picture of an organization's information technology, SIEM software gathers log and event data generated by devices, networks, applications, infrastructure, cloud, and systems (IT). Both on-premises and cloud environments are viable places for SIEM solutions to live. SIEM solutions employ rules and statistical correlations to analyze all the data in real time and generate actionable information during forensic investigations. To assist security teams in promptly identifying malicious actors and mitigating cyberattacks, SIEM technology evaluates all data and sorts threat activity according to its risk level. 
SIEM tools give you:
1.Real-time monitoring of all information security systems within a company.
2.Administration of event logs that combines data from several sources.
3.An analysis of events obtained from various logs or security sources uses if-then logic to give raw data intelligence.
4.Security event notifications are automatic. The majority of SIEM systems include security dashboards and other direct notification options.
Challenges associated with the current SIEM platform
Since the benefits of the SIEM platform are countless, it also has many challenges to deal with. some of them are;
1.If the data volume and variability are high, traditional SIEM solutions cannot identify security risks.
2.As the IT infrastructure expands, the organization's security experiences an increasing number of blind spots. The cybersecurity blind spots were difficult for traditional SIEM systems to spot in time. Blind spots that go unchecked for a while providing the ideal entry point for hackers into the IT infrastructure of a company
3.Event correlation is crucial for spotting trends that may risk the security of the IT system. Events over a brief period were correlated using traditional SIEM solutions
Benefits of AIOps-driven SIEM Solutions:
Any firm, regardless of size, should take proactive steps to monitor and lower IT security threats. SIEM systems provide several benefits for businesses and are now essential for improving security protocols. AIOps enhances the SIEM on multiple fronts. The key areas of AIOps-driven SIEM are
Advanced real-time threat recognition
As your organization grows, AIOps-driven SIEM active monitoring solutions throughout your entire infrastructure help boost security posture by reducing the time it takes to detect and respond to possible network attacks and vulnerabilities. 
Monitoring Users and Applications
Organizations require the visibility required to manage network hazards outside the traditional network perimeter, such as remote workforces, SaaS apps, and other tools. The visibility of the entire infrastructure is greatly improved by AIOps-driven SIEM solutions, which keep track of all network activity across all users, devices, and applications. These solutions also detect threats regardless of where digital assets and services are accessed.
It offers improved capabilities for investigating and responding to incidents.
Modern AI-driven SIEMs go above and beyond fundamental security reporting and monitoring. They give analysts the clarity they need to speed up decision-making and response times, as well as cutting-edge data visualization and perceptive business context, which all contribute to better understanding and responding to the data's instructions. As a result, teams can effectively manage problems and enhance their forensic investigations inside a single interface as incident response becomes more sophisticated and analytics improve.
It makes security analytics more predictive.
Once logs have been gathered, an AIOps-driven SIEM system must offer a use case to assist the security team in quickly identifying and contracting risks. For instance, the SIEM offers use cases across all applications, including correlation rules, compliance requirements, and identifying insider tasks.
It reduces the deep expertise of cybersecurity professionals.
Due to the time constraints faced by the security teams nowadays, improved automation frees analysts of manual tasks. As a result, they can better plan their responses to threats better. The most effective SIEMs use machine learning to lessen the workload of overburdened security analysts. This is accomplished through the automation of threat detection, improved context, and situational awareness, and the utilization of user behavior to acquire more insightful data.
It can simply identify hidden cyber threats.
AIOps can access historical log data during event correlation. It aids in spotting trends that raise security issues. Unseen cyber dangers can be identified with an AIOps-enabled SIEM system. 
The world is spending billions of money on security breaches and risk management. Adopting an AIOps-enabled SIEM can develop a long-term SecOps solution for your IT environment.To know more about Algomox AIOps and AISecOps, please visit our AIOps platform page.