Security Operations Center & SIEM Integration
When you partner with our team you can choose to incorporate DRE into any SIEM solution. Or, you can invest in our Managed SIEM Services and take advantage of our already-built Security Operations Center (SOC).
A few of the benefits of going this route include the ability to:
- Centralize all your security event data in one spot
- Correlate data across myriad security applications, including access control, antivirus, firewall, and other security-related applications
- Utilize innovative, top-tier AI tools and threat intelligence databases
- Identify concerning patterns
- Blacklist any suspicious addresses
- Address and correct potential vulnerabilities before they welcome a new attack
How much could your staff save if you installed a SIEM solution that automatically correlates data and various logs from multiple sources
Leveraging our managed SOC can help you achieve the security-related peace of mind you’re looking for, without the soaring costs often associated with more advanced analytics.
Especially if your team spends important time crating correlation rules that never stick, it’s smart to invest in a platform like ours that takes all the legwork out of the equation.
How much could your staff save if you installed a SIEM solution that automatically correlates data and various logs from multiple sources? Ours can do all of that and more. Moreover, it can help you make sense of disparate data sources and create a comprehensive look into your current security analytics.
When you choose our Managed SIEM strategies, you can claim the following benefits, among others:
- A secure, certified, compliance-ready cloud location for log files
- Automatically scoured OTX and other threat intelligence sources
- The ability to keep current with known threat agents worldwide
- The ability to detect patterns of abnormal activity
The software is also designed to help your SIEM systems take proactive control against potential threats. It does so by routinely scanning the Open Threat Exchange, analyzing security event information, and taking other actions.
As new threat agents emerge, you’ll know in real-time so you can prepare accordingly. Whenever you need to double-check a data point, you’ll find them all captured within a customizable dashboard for quick access.
Defining and Understanding Machine Learning
The term “machine learning” refers to a specific branch of AI. Specifically, it’s an approach that leverages AI algorithms to learn from experience over time following an initial data input.
When it comes to SIEM, advanced solutions can use machine learning to help their systems comprehend cybersecurity rulesets and other data. This helps them facilitate, quicken and improve security analytics. Any time spent handling rote tasks or even more advanced duties can now be directed to more mission-critical functions.
Depending on the level of skill and sophistication required, these machine learning systems can be as simple or complex as necessary. You can even configure some to make decisions autonomously, changing their behavior as required.
The Roles of Machine Learning
The basic explanation is that machine learning can enable your IT team to perform threat analytics and send risk notifications in real-time. Now, let’s take a look at some of the potential offerings it can provide.
Machine learning algorithms enable SIEM systems to use previous patterns to predict and anticipate future data.
For a real-world example, consider the data patterns provided during a security breach. Machine learning capabilities enable systems to internalize those patterns. They can then use them to detect suspicious activities that could indicate a subsequent breach or infiltration.
This is an important step, especially given that a data breach can cost your company around $150 for every compromised record.
Incident Response Intelligence
Regardless of your company size or industry niche, a comprehensive incident response plan is a must-have resource. However, it isn’t enough to simply devise a plan and store it on your intranet.
Rather, your network security team should also have in place the robust reflexes required to identify a data breach and respond promptly to mitigate it. Machine learning allows your SIEM software to analyze previous incident response efforts and then provide custom recommendations to help guide future efforts.
This approach can strengthen your incident response plans and ensure they’re following the most effective strategies possible.
Most AI programs facilitate data classification. However, most aren’t capable of grouping unrecognizable data points and event information.
On the other hand, machine learning can leverage data clustering capabilities to not only identify these unknown values but also group them into categories based on similarities detected.
Benefits of Machine Learning and SIEM Integration
Understanding the aforementioned roles of machine learning, what benefits does this technology present to SIEM solutions? There are three main roles that this functionality provides, so let’s review!
Reduced Manual Monitoring
While it won’t completely remove the need altogether, machine learning can greatly reduce the requirement for humans to continually monitor SIEM solutions.
In this sense, you can think of the technology not only as a second pair of eyes but another set of hands, too. This allows you to optimize your cybersecurity in a way never before possible.
Keep in mind, however, that specialized human intelligence triumphs AI. You’ll still need someone on board to monitor your SIEM solution.
Deeper Investigation into Alerts
It’s common for enterprise-wide SIEM solutions to generate false-positive alerts. When these occur, legitimate leads and security concerns can fall lower on the list of priorities.
Keeping up with these shifting, ever-changing demands can exacerbate feelings of exhaustion and burnout among your IT department. Machine learning can help investigate all security-generated alerts to reduce the number of false positives created.
The success of your IT team depends on smooth, seamless workflows that transfer data with ease. If you’re still relying heavily on manual efforts, there’s a high possibility of stress, human error, or both.
Machine learning allows users to automate and standardize workflows. From there, they can reduce the possibility of human error and get the job done much quicker.
Business Process Facilitation
When you make the shift to transfer most of your manual processes onto an automated platform, you immediately remove some of the work-related pressure plaguing your team and office.
Freed from around-the-clock security system monitoring, your IT employees are able to focus more clearly on other core infrastructure concerns.