Business life in 2020 has experienced a perfect storm of cyber security threats. Remote work expands the attack surface. Meanwhile, cyber criminals grow increasingly sophisticated, while a shortage of cyber security professionals leaves many businesses without adequate protection. cyber security

Fortunately, managed services improve cyber security in several critical areas.

Expertise at Your Fingertips

In late 2019, (ISC)2, a major nonprofit organization of cyber security professionals, conducted a study of the cyber security workforce. The study showed that the skills gap continues to widen. In fact, to adequately meet the data security needs of American organizations, the cyber security workforce would need to increase by 62 percent.

That means that as security threats increase, organizations find themselves without adequate resources to protect critical data assets. Increasingly, businesses turn to managed services providers (MSPs) to fill that skills gap. With managed services, businesses of all sizes can access the expertise of certified, experienced analysts and engineers.

Furthermore, because cyber security represents a significant focus for MSPs, they stay up to date on the latest trends, tools and threats. Thus, managed services improve cyber security by analyzing your organization’s needs and applying the right combination of skills and tools.

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Proactive, 24/7 Monitoring

Another significant way that managed services improve cyber security involves system monitoring. A reputable MSP will provide monitoring not just during business hours, but 24 hours a day, seven days a week. Using machine learning, for instance, your MSP can identify unusual activity and proactively address issues even before a breach occurs.

Monitoring can include both your network and your cloud infrastructure, thus addressing the numerous data access points. Additionally, many providers offer automated compliance monitoring. With privacy and security regulations affecting industries across the board, compliance monitoring saves countless headaches and protects your business reputation.

Vulnerability Identification and Remediation

The MSP typically conducts risk assessments to determine the state of your organization’s cyber security and make recommendations. In the process, they will likely conduct vulnerability scans and penetration testing.

A vulnerability scan often uses automated tools to identify weaknesses in the perimeter, places where unauthorized persons could enter the system. Penetration testing goes further. Essentially, a penetration test simulates an actual cyber-attack, with a skilled tester acting like a hacker to try and exploit weaknesses.

Some regulations require vulnerability scans and penetration testing on a regular basis. Whether required or not, they form an essential part of a comprehensive cyber security strategy.

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User Education

The human factor remains an often overlooked weak link in data security. For example, one employee may click a link in an email, unwittingly downloading malware. Another responds to a seemingly urgent, but fraudulent, phishing email. Many use weak and easily exploited passwords or store password lists in files on the network.

One service many MSPs offer involves providing security training for your staff. Regular, focused user education reminds employees of security best practices. And when you back up that education with automated policies for passwords, email and file sharing, you strengthen your security posture. MSPs help with policy implementation, as well.

Discover How Managed Services Improve Cyber Security

For nearly twenty years, His helped organizations of all sizes secure their critical data assets. Proactive network monitoring, email security and comprehensive threat detection are just a few of the ways eMazzanti’s award-winning managed services improve cyber security.

Customizable security offerings also include services such as dark web monitoring, patch management, web filtering and predictive security. More security professionals conduct a risk assessment and work closely with you to implement a comprehensive cyber security strategy that meets your specific needs and budget.

AIOps is a hot topic across the IT industry, as well as on our blog. IT leaders are enchanted by the possibility of capturing more value from their rapidly growing supplies of data with the use of machine learning and analytics.



Of course, data collection and processing relies on the underlying network, and the network itself is a target for AIOps-based management and automation. Network analytics are, therefore, an essential part of AIOps. Here are just five contributions a unified network analytics solution can make:

  • Ensure quality of data

We’ve all heard the phrase, “garbage in, garbage out,” often shortened to GIGO. The data fed to machine learning tools must be high grade, appropriate, and relevant or, well, strange outcomes happen. Bad data results in inaccurate pattern identification and poor predictions, and with the “black box” nature of much of the AI field, it can be nearly impossible to assess or correct these shortcomings after the fact.

In particular, network data harvested using separate tools or from separate silos may be inconsistent, incomplete, or out of date. The best network analytics solutions, however, are unified packages that avoid silos to create a single, reliable compilation of data from across the network. Drawing on such systems, enterprise AIOps can see the end of GIGO and benefit from QIQO—quality in, quality out.

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  • Improve infrastructure management

To note that IT infrastructure has grown more complex is a vast understatement. IT teams today frequently have difficulty even visualizing the topography of their increasingly hybrid infrastructures, especially if hampered by older, less robust toolsets. Organic growth and acquisitions can also lead enterprises to “glue on” unfamiliar networks and sometimes execute networking changes and expansions in an ad hoc manner just to keep up.

Fortunately, a holistic network analytics solution can put the entire network and all the management functions on a single screen. Analytics are run on everything—cloud, multi-cloud, hybrid, and on-premises environments—all from one central resource. This not provides instant visibility of the network infrastructure and also produces consistent data sets across the full scope of IT operations, without swivel chair management. It’s a necessary foundation for comprehensive, effective AIOps.

  • Maintain network performance

IT teams have more data about their networks’ status than ever before, but they are also being confronted with an overwhelming number of alerts on network management systems. The sheer time devoted to sifting through and evaluating alerts to identify actionable items often delays response and compromises network performance.

Network analytics comes to the rescue here. Machine learning applied to the network layer enables identification of true network errors in real time, so they can be immediately addressed. When combined with intelligent event suppression that prevents alert overload, network analytics solutions help deal with incidents before they affect business services.

Reducing false alarms is a key benefit companies are seeking from AIOps, and the right network analytics solution sets the stage and informs an overall AIOps process.

  • Generate continuous insight

Without high-quality network analytics, the network becomes a blind spot where operational impacts can’t be easily traced. This is problematic, since the network is the core of all IT operations and the business as a whole.

End-to-end visibility and monitoring tools help enhance and maintain network performance, but adding in network analytics integrations delivers greater insight into the AIOps process. With a constant flow of powerful insights, better root cause analysis of incidents, quicker response, and greater efficiency soon follow.

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  • Create more value for end users

The more a business knows about its customers, the more value it can provide. Much of the data required to understand customer needs, usage patterns, etc., derives from the network layer. Thus network analytics empowers IT teams to leverage a comprehensive view of the customer and the full revenue potential of the network. Supported by network analytics, AIOps can do a better job learning and adapting to user data to enhance performance and that be-all, end-all—the customer experience.

Does all of this have you convinced a better network analytics solution needs to be part of your AIOps journey? Entuity Network Analytics is ideally suited to meet the challenges—not to mention pair well with Park Place’s network support and other maintenance services!