Cloud or On-Prem Servers—Which Is Better for Your Company?
Every organization needs to manage its data to get its desired business outcomes. For a company to access its data and use it in day-to-day operations, dashboards, reporting, and data analytics, it either needs a cloud or on-premises solution to facilitate compute, storage, and data management strategies.
What’s The Difference Between The Cloud And On-Premises Data Storage?
An on-premises data server is hardware that you maintain on your company’s premises for storing, processing, and accessing information through your organization’s networks. An in-house IT department is needed to maintain, turn over/replace, and upgrade the hardware, keep it stable and operational, and secure it.
A cloud storage solution run by an expert and backed by a cutting-edge data center provides the same functions as an on-premises server and more. It does not exist on your company’s premises and the data on it is accessed through the internet. All updates and maintenance tasks are performed by the cloud provider, who owns and operates its own hyper-secure data centers to safeguard your data in case of failure, cyberattack, or outage. Like on-premises servers, access to cloud data can be set by administrators to be permission-based to allow access only by authorized personnel.
On-Premises vs. Cloud—Which Option Best Suits Modern Business Needs?
There are more factors when choosing between using a cloud computing solution or keeping servers on-premises, including customizability and scalability, security concerns, and the budget for your organization’s data management strategy. While on-premises data servers regularly require hardware upgrades in your physical locations to expand alongside your business’s growing needs, a cloud storage and computing solution with access to highly advanced data centers is scalable based upon your workload. Unlike an on-premises server that can take a lot of time and money to set up and ready for operation, cloud service providers ensure you can access your cloud for computing and storage needs almost instantly.
In some mid-sized companies, server rooms tend to be used for multiple purposes, which means that they are sometimes unlocked, unsecured, and allow for unauthorized access that compromises data security. Many mid-sized companies do not have 24/7/365 monitoring of their server rooms, specialized climate controls needed for a data center, and do not consistently deploy or regularly schedule hardware upgrades to keep the systems reliable before something goes down.
One mid-market employee shares the story of a server closet that her company had in a previous workplace. For starters, it could be accessed by nearly every employee of the company. She recounted that the IT department placed portable dehumidifiers in the room to keep moisture down. The IT department’s regular practice was to empty the server closet dehumidifiers in the office’s kitchen sink. Unfortunately, a new IT employee happened to trip while carrying one of the dehumidifiers and spilled water all over the server room. Every employee of the company was affected—they found out that the work they had done since the last backup, which happened to be 5 days ago, had disappeared. Even worse, their servers were down for several days after the incident, further impacting their daily business operations.
Although in the past, people feared that cloud would not be secure, or a company would lose control over its data—cloud has proven to be more secure than on-premises hardware. First, cloud vendors host their own data centers and because this is their main business, they have cutting-edge climate control environments to protect their clients’ data. Cloud vendors adhere to frequent hardware replacement turn-over schedules to keep uptime maximized and cloud operations state-of-the-art. Cloud vendors monitor their data centers 24/7/365, are security experts, and have strict controls in place in order to service clients in highly regulated industries with rigorous data security needs. For most mid-sized businesses, it is more cost effective to rely upon the expertise of a cloud vendor for data security and uptime than to host and maintain its own servers, stay on top of the latest security threats, and staff its data center (or data closet) for monitoring to prevent downtime and security breaches.
Large enterprises often can afford to build their own data centers providing them an alternative to an external cloud provider. However, this is incredibly expensive and can set organizations back by USD $10-25 million on yearly setup and operation costs. This infrastructure also takes a lot of time to be implemented and in today’s fast-paced business environment, this might not be entirely acceptable for decision-makers.
Yet, even for enterprises, on-premises solutions no longer make the most sense. Most modern business applications are cloud-native. Cutting-edge data analytics solutions are cloud-native and connect and integrate data sources using cloud technologies. Clouds are better suited for analytics than on-premises hardware, due to scalability and ability to absorb compute spikes (instead of having to invest in hardware with capacity for compute spikes as machine learning algorithms converge—which leads to excess capacity at other times).
According to Insights for Professionals, 63% of senior IT leaders and company executives who were surveyed expected to invest in cloud infrastructure-as-a-service in 2022. Considering the state of on-premises servers, which are becoming an obsolete technology that require an IT department to keep a constant eye on it, cloud technology is a natural progression in infrastructure for better data management. Gartner reports by 2025 almost 85% of companies will have moved to a cloud-first approach. Cloud technology has now evolved to a point where it provides better stability and security at a more economical price than on-premises solutions.
Mid-Market Company Considerations
Many organizations are operating in hybrid and multi-cloud environments. This means that they have some data in on-site servers, some data in cloud based line of business applications (relying on the application provider for data storage in whichever cloud the application vendor uses for its product), and many have some data in a public cloud.
However, mid-market companies have added considerations when choosing a cloud solution. Most public cloud service providers do not offer data management services. You need to do this yourself. Yet, mid-market companies often do not have this expert talent in-house. For success, mid-market companies need a cloud hyper-scaler that also provides data engineering services to build data connectors and pipelines, warehouses, data lakes, and the like. This skill set is different from a typical IT employee. Hyper-scalers—who can help organizations with data management, transform data from disparate sources into a decision and analytics-ready status, and bring transactional data into the forefront using a cost-effective cloud solution—tend to be private cloud vendors. For this reason, private cloud solutions make more sense than public cloud for mid-sized organizations.
A side-by-side partnership with an experienced cloud-native data platform company will have a measurable and positive impact on mid-market company data management strategies, with built-in access to technical resources and experts, so that your company does not need to hire new FTEs to support data management. Rely on the data management companies for data management so that your company can focus on your main line of business.
Aunalytics’ high performance private cloud provides a highly redundant and scalable platform for hosting servers, data, analytics, and applications at any performance level. Aunalytics delivers data management in a side-by-side service model, bringing companies the technology and the talent needed for data management success. To learn more about our Enterprise Cloud solution, click here.
Don’t Ghost Your Network—Begin Your Security Maturity Journey
Is your security keeping up with the rapidly changing threat landscape? If not, your security is becoming more obsolete by the day—and more vulnerable to scary things like hackers and ransomware by the second. When a company is fully protected with the most up to date hardware, software, monitoring, and consistent patching it begins to reach security maturity.
Security maturity is a consistent state of awareness concerning your network security and can only be achieved when you:
- Have an SOC to monitor and remediate threats
- Have looped vulnerability management
- Employ active defense with security intelligence from multiple sources to protect applications, networks, servers and workstations
- Are willing to adapt your security environment to new and changing threats on a constant basis, and more.
Be Proactive
Instead of relying on a passive security model—or worse, waiting until after a companywide infection—take an active role in your company’s security. The main goal of security maturity is to avoid or reduce the number of security incidents haunting your network. It’s kind of like painting San Francisco’s Golden Gate Bridge. As soon as the painting crew gets from one end to the other with a fresh coat of paint, it is time to start again to repaint the bridge. Security maturity requires constant action and change as your organization adapts to protect against the latest evolving threats.
We all observed remote work access change security and IT on a mass scale in 2020, and security changes continue to become more necessary as bad actors and threats become more and more dangerous to your business as it continues to grow and change—and more dangerous for your customers to do business with you.
October WSJ headlines highlight a Chicago healthcare system, one of the largest in the U.S., being the victim of ransomware that is forcing it to shut down electronic records, systems, and cancel patient appointments. It is now working with law enforcement and outside cybersecurity experts to remediate. A security maturity journey is hard to make on your own, and a good partner can ensure you are meeting the highest security standards possible. Here at Aunalytics, we include security in everything we do because we believe it is a basic building block of IT.
Find A Trusted Security Partner
Without a secure network, you cannot even begin to consider moving further into a security maturity journey. Fortunately, a partner can give you the peace of mind that you will be working with a talented security team that is watching your network 24/7/365, helping to ensure bad actors are caught and eradicated before your company is compromised.
A standard, one size fits all security solution simply doesn’t work anymore—it often leaves cracks, holes, and even chasms for hackers and cyberattacks to slip through. You can improve your journey from cybersecurity to security maturity with a trusted partner.
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Does Your Mid-Market Firm Have the Right Talent to Maximize Its Data Tech Investments?
Does Your Mid-Market Firm Have the Right Talent to Maximize Its Data Tech Investments?
Investing in digital transformation technologies can be a waste of money if your company forgets one important point. That point is, no matter how cutting edge the tech or tool may be, people are needed with specific technical expertise in order to derive true business value from these investments.
Unlike large enterprises, mid-market companies often try to find this expertise in their IT manager, hoping a jack-of-all-trades approach will take care of it. This is an unfortunate mistake, since it would require the IT manager to have unusual command over a long laundry list of duties, from data integration, ingestion, and preparation to data security, regulatory compliance, data science, and building pipelines of data ready for executive reporting from multiple cloud and on-premises environments. This is not just a tall order for a mid-market IT manager to pull off, but likely an impossible one.
At the same time, it’s unreasonable to expect that most mid-market firms can hire an entire division of data experts—who each need to be highly compensated—in order to achieve the organization’s digital transformation goals. Even if a mid-market player could afford it—which is unlikely to make economic sense—these talent resources are scarce and in high demand.
If you’re still wondering whether your IT manager’s skill set, leveraged by your in-house IT technicians, can properly run the gamut required to achieve value from your data technology investments, consider that the person in this position would need the ability to master a wide range of skill sets, from cloud architecture, database engineering, and master data management to data quality, data profiling, and data cleansing. More specifically, your IT manager would need to take on five additional specialized roles for technical talent that are critical for achieving value from data technology investments.
These roles are:
Chief Data Officer/Chief Digital Officer
A chief data officer (CDO) is focused on—you got it—data. Most mid-market companies understandably don’t have a CDO, which means they don’t have anyone who assures regulatory compliance for data handling while managing and exploiting information assets, reducing uncertainty and risk, and applying data and analytics to drive cost optimization and revenue objectives. For IT managers to fulfill a CDO role, they’d have to be equipped to bring a global perspective to company data, help their organization gain competitive advantage over peers, and manage data and analytics. They’d also need the ability to secure data, transform it into valuable business information, lead digital transformation initiatives, and use data for growth and operational efficiency.
Cloud Engineer
The primary job of a cloud engineer is to keep cloud data centers operational and secure for ecosystem users to be able to store and access their data. Cloud engineers are experts in minimizing downtime, managing access to data, managing compute and storage, and setting up cloud architectures for clients, tenants, and containers. They also monitor data center hardware, servers, networks, and communications systems for operational continuity and efficiency.
Data Security Expert
Mid-market firms also need a way to channel the talents of a data security expert, CISO, or cybersecurity director to ensure cyber-security for the company’s data. Data security experts must keep current on emerging threats while executing data security strategies to fend off and remediate attacks. This involves a wide range of duties, including working closely with the IT team to run the company’s Security Operations Center (SOC), constantly monitoring servers, networks, and workstations for security threats, and staying up to date on the changing compliance laws and regulations for the business, to name a few. While larger IT teams have bandwidth to fill cybersecurity needs inhouse, many midmarket IT teams do not have capacity for the 24/7/365 monitoring and security edits needed to thwart attacks, let alone bandwidth for executing on mitigation and response strategies needed to overcome them.
Data Engineer
A data engineer’s primary job is to prepare data for analysis or operational uses, which involves integrating data from different sources, as well as implementing and executing data profiling, cleansing, transforming, and normalizing data. Data engineers also work with data in motion and use master data management to ensure data consistency across an organization. Finally, a data engineer is your go-to technical resource for database construction and management, helping to optimize the company’s data ecosystem.
Data Scientist
It should be clear now why a mid-market IT manager should not be expected to take on these additional professional roles, but in case there’s any doubt, keep in mind that a data scientist is also needed. Data scientists develop algorithms and leverage deep learning models to analyze data with artificial intelligence and machine learning. The data scientist creates the “brain” of the data analytics solution to position it for providing accurate answers based on business information. Data scientists also mine data to find opportunities for business growth and efficiency. Ideally, the data scientist uses tools that enable non-technical business users to query data sets without having to write SQL or other code.
Master of One
If you’ve correctly determined that your mid-market IT department does not have enough time to absorb these data roles into their regular duties of keeping your company systems stable and responding to help desk tickets from your team, don’t despair. There’s a viable solution for mid-market businesses with this dilemma: they can partner with data experts who provide a side-by-side model coupling technology with talent. This allows the mid-market to efficiently compete, leveraging the necessary skillsets to achieve digital transformation success.
What does successful mid-market digital transformation require? The key is to have a cloud-based data center, a cloud native data management platform, and cloud native analytics, thus shifting the burden of procuring and maintaining the infrastructure to a third-party vendor in the data industry. Instead of attempting to reinvent the wheel in house, mid-market players should ensure they’re partnered with the right infrastructure to maximize the data-center capabilities, and data storage and management, for effective digital transformation.
Mid-market firms can gain the benefits of working with a wide range of experts including cloud engineers, data engineers, security experts, data scientists, and other highly skilled technical resources if they establish a partnership with a data platform company. By opting for this type of side-by-side expert help, the mid-market can achieve true business value—without needing to hire an entire data team.
Bridging the Mid-Market Talent Gap for Digital Transformation
Bridging the Mid-Market Talent Gap for Digital Transformation
To achieve business value from data technology investments, mid-market companies need the right technical expertise and talent. Yet many mid-market firms push this onto their IT manager, assuming that since it is technology related, IT has it. This is a mistake because most IT departments do not have time for data analytics. They are busy full time keeping company systems stable and secure, and providing support to your team members. This by necessity results in IT deprioritizing data queries over crucial cybersecurity attack prevention. Business analysts and executives get frustrated waiting for data query results, and the data is stale or the business opportunity has passed by the time query results are in.
But even if your IT team had time for it, it still is a mistake to rely on traditional technology administrators for data analytics success. This is unless your IT department has expertise across a wide range of skill sets, from cloud architecture, database engineering, master data management, data quality, data profiling, and data cleansing. What’s more, your IT manager would need to have command over data integration, data ingestion, data preparation, data security, regulatory compliance, data science, and building pipelines of data ready for executive reporting from multiple cloud and on premises environments.
When you read this laundry list of needs, it becomes clear that most mid-market IT departments lack the specialized experts needed to derive business value from their data. Unlike larger enterprises that have the resources to hire skilled staff for these roles, the mid midsize organization requires another option that provides access to the right tools, resources, and support. One that integrates, enriches and is trained in utilizing AI, machine learning, and predictive analytics to achieve more useful results.
To read more, please fill out the form below:
Bridging the Mid-Market Talent Gap for Digital Transformation
Bridging the Mid-Market Talent Gap for Digital Transformation
To achieve business value from data technology investments, mid-market companies need the right technical expertise and talent. Yet many mid-market firms push this onto their IT manager, assuming that since it is technology related, IT has it. This is a mistake because most IT departments do not have time for data analytics. They are busy full time keeping company systems stable and secure, and providing support to your team members. This by necessity results in IT deprioritizing data queries over crucial cybersecurity attack prevention. Business analysts and executives get frustrated waiting for data query results, and the data is stale or the business opportunity has passed by the time query results are in.
But even if your IT team had time for it, it still is a mistake to rely on traditional technology administrators for data analytics success. This is unless your IT department has expertise across a wide range of skill sets, from cloud architecture, database engineering, master data management, data quality, data profiling, and data cleansing. What’s more, your IT manager would need to have command over data integration, data ingestion, data preparation, data security, regulatory compliance, data science, and building pipelines of data ready for executive reporting from multiple cloud and on premises environments.
When you read this laundry list of needs, it becomes clear that most mid-market IT departments lack the specialized experts needed to derive business value from their data. Unlike larger enterprises that have the resources to hire skilled staff for these roles, the midsize organization requires another option that provides access to the right tools, resources, and support. One that integrates, enriches and is trained in utilizing AI, machine learning, and predictive analytics to achieve more useful results.
Achieving Digital Transformation
Digital transformation has been defined by some as the integration of digital technology into all areas of a business, fundamentally changing how employees operate and deliver value to customers. Some of the challenges midsize businesses have with building an internal team to initiate this concept are employee pushback, lack of expertise to lead digitization initiatives, improper organizational structure, the absence of a digitization strategy and limited budget. As an alternative to building an internal operation, a more efficient way for mid-market businesses is to leverage the skillsets of experts by partnering with a consolidated group of experts, leveraging a side-by-side model that couples technology with talent. Look for solution providers that offer the following:
- Powerful cloud data centers paired with engineers skilled in architecting cloud-based applications and processes that better serve critical business requirements. These data centers are optimized for true multi-tenancy, built on seamlessly integrated hardware and software, offer business-driven configurability, world-class security and performant systems.
- Active Monitoring and Thoroughly Integrated Security. Monitoring and security should be pervasive across system infrastructure to defend against cyberattacks and provide remediation when required. Business customers will also expect full-time monitoring and on-demand help desk to address unexpected events. The data management platform underpinning applications should be monitored by experienced data engineers with success in building data warehouses, data lakes, and data pipes. They should also be able to integrate, cleanse, and transform data into decision-ready and analytics-ready business information.
- High ROI Business Insights that Drive Results. Data analytics investments need to provide real business value by giving actionable insights and finding opportunities within your data. With this in mind, data analytics should include access to data scientists and business analysts versed in your industry. These experts should be equipped to design AI-powered algorithms that answer the most pressing questions based on real-world business challenges.
Mid-Market Data Transformation for Enterprise-Class Results
Ensuring the right mix of hardware, software and resulting services are available to maximize the data center capabilities—and their ability to manage and protect data—is crucial to effective mid-market digital transformation. To compete and drive value, the cloud data center provider must deliver at all levels, with customizable business intelligence solutions powered by an effective data management platform that is secure and compliant. Successful mid-market digital transformation thus requires a shift of responsibilities for infrastructure procurement and maintenance to a third-party provider backed by experienced staff and best-in-class infrastructure.
When implementing a digital transformation project, your company gains from the many benefits this brings, such as a higher return on your IT investment, increased employee and customer experience, and greater business agility. This is further enhanced by leveraging experienced cloud engineers, data engineers, security experts, data scientists, and other highly skilled technical resources—achieving true business value from the investment. And by partnering with experts, your company’s time, resources, and innovation can be focused on its core competencies.
The State of Ransomware in Financial Services 2022 - PDF
The State of Ransomware in Financial Services 2022
4 Questions Mid-market Companies Should Ask Themselves About Data Protection
4 Questions Mid-market Companies Should Ask Themselves About Data Protection
When the working world went remote due to the COVID-19 pandemic, many never returned to the office. This created new data-security challenges for many businesses, with an increasing amount of sensitive data now being stowed in the cloud, and workers continuing to access company data from off-site locations.
How safe is cloud security, which now often relies on “zero trust” security principles based on a user’s location rather than user credentials? While some worry that cloud security is less reliable than on-premise security, that’s not actually the case, particularly for mid-market businesses. The fact is that your data is actually more secure in a remote data center managed by security experts than by your in-house IT team.
You may feel a false sense of security by having your IT department guard your servers in a closet — but this strategy is extremely risky when it comes to data protection. It’s not standard for mid-market IT departments to possess expert skills in cloud security and data security, which are needed to properly safeguard data. Many mid-market companies, particularly those not in highly regulated industries, do not currently have Security Operations Centers.
To read more, please fill out the form below:
4 Questions Mid-market Companies Should Ask Themselves About Data Protection
4 Questions Mid-market Companies Should Ask Themselves About Data Protection
When the working world went remote due to the COVID-19 pandemic, many never returned to the office. This created new data-security challenges for many businesses, with an increasing amount of sensitive data now being stowed in the cloud, and workers continuing to access company data from off-site locations.
How safe is cloud security, which now often relies on “zero trust” security principles based on a user’s location rather than user credentials? While some worry that cloud security is less reliable than on-premise security, that’s not actually the case, particularly for mid-market businesses. The fact is that your data is actually more secure in a remote data center managed by security experts than by your in-house IT team.
You may feel a false sense of security by having your IT department guard your servers in a closet — but this strategy is extremely risky when it comes to data protection. It’s not standard for mid-market IT departments to possess expert skills in cloud security and data security, which are needed to properly safeguard data. Many mid-market companies, particularly those not in highly regulated industries, do not currently have Security Operations Centers.
What’s more, it came to light at the end of 2021 that cyber-insurance renewals are becoming at times prohibitively expensive for all industries due to the exponential increase in cyber-attacks seen last year. The only way for mid-market companies in all industries to lower cyber-insurance premiums and ensure coverage is to implement enhanced data security measures.
Since data protection has become the most prevalent challenge in the cybersecurity market, it’s no surprise to see that according to Insights for Professionals, data protection is the main focus in 2022 for 85 percent of businesses surveyed; 37 percent plan to invest up to $500,000 on data protection in 2022, and 31 percent plan to invest more than $500,000 on data protection over the next 18 months. McKinsey also reports that 85 percent of midsize enterprises plan to boost their IT security spend until 2023.
All-Time High Cybercrime
Still, it would be misleading to imply that cloud security comes with no challenges. One of the biggest ongoing concerns are ransomware attacks, which increased over 105 percent in 2021. Cybercriminals continue to attain new levels of sophistication, with payment demands skyrocketing into tens of millions of dollars. According to McKinsey, the costs related to cybercrime will continue to ascend in the coming years, with a 15 percent yearly increase leading to cybercrime costs reaching $10.5 trillion a year in 2025. Looking ahead over the next decade, by 2031, Cybersecurity Ventures estimates ransomware costs alone should reach $265 billion.
McKinsey reports that there are multiple motivations for these attacks, headed by the fact that pandemic-weary companies have become ripe for security vulnerabilities. Also, as advancing digitization continues to drive connectivity and employees now log in from anywhere — including unsecured home networks — it makes life easier for ransomware hackers. The traditional smash and grab approach is now being replaced with bad actors “dwelling” undetected within victims’ environments, which gives cybercriminals the lay of the land in understanding where the highest value information resides before selling it to the highest bidder.
Another motivation for the continued attacks is their success: as more companies are forced to pay ransoms, hackers are further incentivized to build on their well-paid victories and continue innovating on this lucrative threat. Specific sectors are particularly at risk; keep in mind that in the U.S., supply-chain attacks rose 42 percent in Q1 of 2021, victimizing as many as 7 million people, while McKinsey shared that “security threats against industrial control systems and operational technology more than tripled in 2020.” The war in Ukraine has taught us lessons about attacks compromising infrastructure, utilities and government that can debilitate nations and be weaponized.
Paying Up
These massive numbers can seem overwhelming, and can also make it difficult to tell how much a ransomware attack can affect an individual company. To give you some perspective, consider these stats:
- NPR reported that Colonial Pipeline paid a $4.4 million ransom after the company shut down operations.
- CNBC reported that global meat producer JBS paid ransomware hackers $11 million.
- Insider reported that global insurance provider CNA Financial forked over a reported mind-blowing $40 million post-cyber-attack.
- The Washington Post reported that a ransomware attack on U.S. software provider Kaseya targeted the firm’s remote-computer-management tool and endangered up to 2,000 companies globally.
These costs are also just the tip of the iceberg for the companies victimized by ransomware hackers. Additional costs of such an attack include everything from paying third parties (like legal, PR, and negotiation firms), not to mention the opportunity costs of having executives, staff, and teams disconnected from their day-to-day roles for weeks or months to deal with the attack’s aftermath. Perhaps the biggest unaccounted-for expense is the resulting lost revenue.
Ask These 4 Questions
What can mid-market companies do in the face of these threats to their data’s safety? They should focus on strategies that address ransomware prevention, preparation, response, and recovery. Since this is an ongoing journey, threats continue to evolve and improve — so it’s critical to keep up to date with new threats of increasing sophistication, while being ready with cybersecurity strategies and best practices. The goal is to continue to build cyber maturity that creates a resilient approach. You may not be able to stop attacks from occurring, but when they do, they won’t have the same impact if you’ve prepared in this way.
As a starting point, these are four questions that every mid-market company should ask itself to determine the organization’s readiness for data defense:
- When it comes to our people, do we have security focused IT leadership, trained cloud security experts, and data security experts?
- When it comes to our process, do we have defined IT security processes for proactively managing the security posture of our environments?
- When it comes to our technology, are we 100 percent confident in our security tech and our ability to actively monitor and detect threats around the clock?
- When it comes to our cloud architecture, are we confident that it allows for scalability without sacrificing security assurances?
If the answer is “no” or “I don’t know” to any of these questions, it is time to get your house in order — you are at risk. To stay alive, compete, and drive value, mid-market companies should shift their focus to data analytics, data management, security, and compliance. This requires a cloud-based data center, a cloud-native data management platform, and cloud-native analytics. Ensuring the right infrastructure to maximize the capabilities of data centers — and how they are able to manage and store data — is crucial to effective mid-market digital transformation.
Lowering Cybersecurity Insurance Premiums with Managed Security Services
Lowering Cybersecurity Insurance Premiums with Managed Security Services
Midmarket organizations face the threat of cyberattacks that put every organization at great risk. As a result, a greater number of IT professionals are turning to managed security services to lower cybersecurity insurance premiums.
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Lowering Cybersecurity Insurance Premiums with Managed Security Services - PDF
Lowering Cybersecurity Insurance Premiums with Managed Security Services
Midmarket organizations face the threat of cyberattacks that put every organization at great risk. As a result, a greater number of IT professionals are turning to managed security services to lower cybersecurity insurance premiums.
