Eye Care Leaders Data Breach Caused by Cloud EHR Vendor. Don’t be the Next.

The databases and system configuration files for Eye Care Leaders, a manufacturer of cloud-based electronic health record and practice management systems for eye care practitioners, were recently hacked.

What Happened

The breach reportedly compromised Eye Care Leaders’ cloud-based myCare solution, with hackers obtaining access to the electronic medical record and public health information (PHI) databases on or around December 4, 2021, according to breach notification letters provided by some of the affected practices. The hacker then erased the databases and system configuration files.

When the breach was discovered, Eye Care Leaders promptly locked its networks and initiated an investigation to avoid additional unauthorized access. That investigation is still underway, and it’s unclear how much patient data was exposed. However, it’s possible that sensitive data was seen and exfiltrated before the database was deleted. Patients’ names, dates of birth, medical record numbers, health insurance information, Social Security numbers, and personal health information regarding care received at eye care offices were all stored in the databases.

More than 9,000 ophthalmologists use the Durham, NC-based company’s products. It’s unclear how many providers have been affected at this time. Summit Eye Associates, situated in Hermitage, Tennessee, has revealed that it was hacked and that the protected health information of 53,818 patients was potentially stolen. Evergreen Health, a division of Kings County Public Hospital District No. 2, has also acknowledged that patient data has been compromised. According to reports, the breach affected 20,533 people who got eye care at Evergreen Health. The breach has been confirmed by Allied Eye Physicians & Surgeons in Ohio, which has revealed that the data of 20,651 people was exposed.

The records of 194,035 people were exposed due to the breach at Regional Eye Associates, Inc. and Surgical Eye Center of Morgantown in West Virginia. Central Vermont Eye Care (30,000 people) recently reported a data breach affecting EHRs. However, HIPAA Journal has not been able to establish whether the cyberattack caused the data loss at Central Vermont Eye Care on Eye Care Leaders.

Confidential Information Exposed

Update

Over the last two weeks, the number of eye care providers affected by the hack has increased. The following is a list of eye care practitioners who have been identified as being affected:

Protected Harbor’s Take On The Matter

There are more than 1,300 eye care practices in the United States alone. And with more than 24 million Americans affected by some form of visual impairment, the demand for eye care services continues to grow.  In response to these growing needs, we have seen an increase in cloud-based electronic health record management software solutions to streamline operations while increasing efficiency and security.

Unfortunately, this also means that cybercriminals see the eye care industry as a prime target for hackers because their information is so sensitive and accessible. That’s why you must know which cloud EHR vendors were hacked recently.

Protected Harbor’s 5 ways to prevent unauthorized access to your company data:

1. Strong Password Policy– Having your users add symbols, numbers, and a combination of characters to their passwords makes them more difficult to crack. Having a minimal amount of characters and changing it periodically (every 60 or 90 days) ensures that outdated passwords aren’t reused for years, making it much easier to get unwanted access to the account.
2. MFA– Multi-factor authentication is a great approach to ensure you only access the account. You will need another device (usually your mobile device) nearby in addition to your usual login and password since you will be required to enter a code that will be produced instantly.
3. Proactive Monitoring- Preventing unauthorized access is the initial step, but monitoring login attempts and user behaviors can also provide insight into how to prevent it best. For example, if you have logs of failed login attempts for a single user. You can launch an inquiry to see whether the user merely forgot their password or if someone is attempting to breach the account.
4. IP Whitelisting- IP Whitelisting compares the user’s IP address to a list of “allowed” IP addresses to determine whether or not this device is authorized to access the account. If your firm only uses one or a limited number of IP addresses to access the internet, as is usually the case, you can add a list of IP addresses that are granted access. All other IPs will be sent to a page that isn’t allowed.
5. SSO (Single Sign-On)- If your firm has a centralized user directory, using it to acquire access makes things more accessible and more manageable for you. You’ll have to remember one password, and if something goes wrong, your network administrator can deactivate all of your applications at once.

Richard Luna, CEO of Protected Harbor, stated: Unfortunately, this is how things will be in the future. The development tools used to create websites and mobile applications were created in the 1990s. Data transferability, or the ability to move data from one device to another, was a critical concern back then. The emphasis back then was on data proliferation. FTP comes to mind as a secure method with no encryption. Authentication was designed for discerning between good actors, not to harden data and protect against data theft because all data exchanges were between good actors back then. Now that we live in a different environment, we may expect more data breaches unless security is built into data transfer protocols rather than bolted on as an afterthought.

We’ve been helping businesses respond to these attacks for some time now, including ransomware attacks and cross-pollinating destructive IP attacks across numerous access points and multiple AI use. If a company has 50 public IPs and we’re proactive monitoring the services behind them, and a bad actor assaults one of them, ban them from all entry points in all systems, even if it involves writing a synchronized cron job across firewalls or other protection devices. Add in artificial intelligence (AI) and comprehensive application monitoring, and a corporation has the tools to detect and respond to such threats quickly.

Final Thoughts

Data security isn’t a one-time or linear process. You must invest ongoing resources, time, and effort to ensure data security against unwanted access.

Cybercriminals are becoming more sophisticated every day, and they are employing cutting-edge technologies to target businesses and get illicit data access.

As the number of data breaches rises, you must become more attentive. It’s critical that your company implements concrete security measures and that each employee makes cybersecurity a high priority.

If you’d want us to conduct an IT security audit on your current security policies, we’ll work with you to ensure that you’re well-protected against unauthorized data access and other cyber risks. Contact us today!

What are the types of clouds? Which one’s best for your business?

When you think of cloud technology, the first thing that comes to mind is big companies like Google and Amazon using it to run their massive online operations. But the truth is, this type of software has many small-time entrepreneurs using it to run their businesses. And if you’re not sure which kind of cloud computing service is right for your business, here’s a brief explanation about the different types of clouds and why you should choose one over the other.

What is a Hybrid Cloud?

The hybrid cloud integrates private cloud services, public cloud services, and on-premises infrastructure. It provides management, orchestration, and application portability over all three cloud services. As a result, a unified, single, and flexible distributed computing environment is formed. An organization can deploy and scale its cloud-native or traditional workloads on the appropriate cloud model.

The hybrid cloud includes the public cloud services from multiple cloud service providers. It enables organizations to

• Choose the optimized cloud environment for each workload
• Combine the best cloud services and functionality from multiple cloud vendors.
• Move workloads between private and public cloud as circumstances change.

A hybrid cloud helps organizations achieve their business and technical objectives cost-efficiently and more effectively than the private or public cloud alone.

Hybrid Cloud Architecture

Hybrid cloud architecture focuses on transforming the mechanics of an organization’s on-premises data center into the private cloud infrastructure and then connecting it to the public cloud environments hosted by a public cloud provider. Uniform management of private and public cloud resources is preferable to managing cloud environments individually because it minimizes the risk of process redundancies.

The hybrid cloud architecture has the following characteristics.

1. Scalability and resilience

Use public cloud resources to scale up and down automatically, quickly, and inexpensively to increase traffic spikes without affecting private cloud workloads.

2. Security and regulatory compliance

Use private cloud resources for highly regulated workloads and sensitive data, and use economic public cloud resources for less-sensitive data and workloads.

3. Enhancing legacy application

Use public cloud resources to improve the user experience of existing applications and extend them to new devices.

4. The rapid adoption of advanced technology

You can switch to cutting-edge solutions and integrate them into existing apps without provisioning new on-premises infrastructure.

5. VMware migration

Shift existing on-premises infrastructure and workloads to virtual public cloud infrastructure to reduce on-premises data center footprint and scale according to requirements without additional cost.

6. Resource optimization and cost savings

Execute workloads with predictable capacity on the private cloud and move variable workloads to the public cloud.

Hybrid cloud advantages

The main advantages of a hybrid cloud include the following.

• Cost management_ Organizations operate the data center infrastructure with a private cloud. It requires a significant expense and fixed cost. However, a public cloud provides services and resources accounted for as operational and variable expenses.
• Flexibility_ An organization can build a hybrid cloud environment that works for its requirements using traditional systems and the latest cloud technology. A hybrid setup allows organizations to migrate their workloads to and from the traditional infrastructure to the vendor’s public cloud.
• Agility and scalability_ Hybrid cloud provides more resources than a public cloud provider. This makes it easier to create, deploy, manage, and scale resources to meet demand spikes. Organizations can burst the application to a public cloud when demand exceeds the capacity of a local data center to access extra power and scale.
• Interoperability and resilience_ A business can run workloads in public and private environments to increase resiliency. Components of one workload can run in both environments and interoperate.

Reference Link

https://www.ibm.com/cloud/learn/hybrid-cloud

What is a Public Cloud?

A public cloud is a computing service provided by third-party service providers across the public Internet. It is available to anyone who wants to use these services or purchase them. These services may be free or sold on-demand, allowing users to pay per usage for the storage, bandwidth, or CPU cycles they consume. Public clouds can save organizations from the cost of buying, maintaining, and managing on-premises infrastructure.

The public cloud can be deployed faster than on-premises and is an infinitely scalable platform. Each employee of an organization can use the same application from any branch through their device of choice using the Internet. Moreover, they run in multi-tenant environments where customers share a pool of resources provisioned automatically and allocated to individual users via a self-service interface. Each user’s data is isolated from others.

Public cloud architecture

A public cloud is a completely virtualized environment that relies on a high-bandwidth network to transmit data. Its multi-tenant architecture lets users run the workload on shared infrastructure. Cloud resources can be duplicated over multiple availability zones for protection against outages and redundancy.

Cloud service models categorize public cloud architecture. Here are the three most common service models.

• Infrastructure-as-a-Service_ in which third-party providers host infrastructure resources, such as storage and servers, and virtualization layer. They offer virtualized computing resources, such as virtual machines, over the Internet.
• Software-as-a-Service_ in which third-party service providers host applications and software and make them available to customers across the Internet.
• Platform-as-a-Service_ in which third-party service providers deliver software and hardware tools for application development, such as operating systems.

Advantages of Public Cloud

The public cloud has the following advantages

1. Scalability

Cloud resources can be expanded rapidly to meet traffic spikes and user demand. Public cloud users can gain high availability and greater redundancy in separated cloud locations. Apart from the availability and redundancy, public cloud customers get faster connectivity between the end-users and cloud services using the network interfaces. However, latency and bandwidth issues are still common.

2. Access to advanced technologies

Organizations using cloud service providers can get instant access to the latest technologies, ranging from automatic updates to AI and machine learning.

3. Analytics

Organizations should collect useful data metrics they store and the resources they use. Public cloud services perform analytics on high-volume data and accommodate several data types to give business insights.

4. Flexibility

The scalable and flexible nature of the public cloud allows customers to store high-volume data. Many organizations depend on the cloud for disaster recovery to back up applications and data during an outage or in an emergency. However, it’s tempting to store all data, but users must set up a data retention policy to delete data from storage to reduce the storage cost and maintain privacy.

Limitations or challenges of Public cloud

• Runway costs_ Increasingly complex pricing models and cloud costs make it difficult for companies to track IT spending. It is cheaper than on-premises infrastructure, but sometimes organizations pay more for the cloud.
• Limited controls_ Public cloud customers face the tradeoff of restricted control over the IT stack. Moreover, data separation problems arise due to multi-tenancy and latency issues for remote end-users.
• Scarce cloud expertise_ The skill gap among IT experts in the cloud is another challenge. Without expertise, companies can’t handle the complexities of advanced IT demands.

What is a Private Cloud?

A private cloud is defined as computing services provided over a private internal network or the Internet, only to specific users rather than the general public. It is also known as a corporate or internal cloud. The private cloud provides many benefits to businesses, such as scalability, self-service, and elasticity to a public cloud. In addition, it gives extended, virtualized computing resources through physical components stored at a vendor’s data center or on-premises.

One of the main advantages of the private cloud is that it provides an enhanced degree of control to organizations. As it is accessible to a single organization, it enables them to configure the environment and manage it in a unique way tailored to the particular computing needs of a company.

A private cloud can deliver two models for cloud services. Infrastructure-as-a-Service enables a company to use resources, such as network, storage, and computing resources. And platform as a service that allows a company to deliver everything from cloud-based applications to sophisticated enterprise applications.

Private Cloud Architecture

A private cloud with a single-tenant design is based on the same technologies as other clouds. Technologies that allow customers to configure computing resources and virtual servers on demand. These technologies include

1. Management software

It provides administrators with centralized control over the applications running on it, making it possible to optimize availability, resource utilization, and security in the private cloud environment.

2. Automation

It automates the tasks, such as server integrations and provisioning, which must be performed repeatedly and manually. Automation minimizes the need for human intervention and gives self-service resources.

3. Virtualization

It provides an abstraction to IT resources from their underlying infrastructure and then pooled into the unbounded resource pools of storage, computing, networking, and memory capacity divided across multiple virtual machines. Virtualization allows maximum hardware utilization by removing the physical hardware constraints and sharing it across various applications and users.

Moreover, private cloud customers can leverage cloud-native application practices and architecture, such as containers, DevOps, and microservices, to bring greater flexibility and efficiency.

Benefits of private cloud

Advantages of private cloud include

• Freedom to customize software and hardware_ Private cloud users can customize software as needed with add-ons via custom development. They can also customize servers in any way they want.
• Full control over software and hardware choices_ Private cloud users are free to buy the software and hardware they prefer or services provided by the cloud service providers.
• Fully enforced compliance_ Private cloud users are not forced to rely on the regulatory compliance provided by the service providers.
• Greater visibility and insights into access control and security because all workloads execute behind the user’s firewalls.

Challenges or Limitations of private cloud

Here are some considerations that IT stakeholders must review before using the private cloud.

• Capacity utilization_ Organizations are fully responsible for enhancing capacity utilization under the private cloud. An under-utilized deployment can cost significantly to a business.
• Up-front costs_ The cost of required hardware to run a private cloud can be high, and it will need an expert to set up, maintain and handle the environment.
• Scalability_It may take extra cost and time to scale up the resources if a business needs additional computing power from a private cloud.

Is hybrid cloud the best option for you?

Because not everything belongs in the public cloud, many forward-thinking businesses opt for a hybrid cloud solution. Hybrid clouds combine the advantages of both public and private clouds while utilizing existing data center infrastructure.

Cloud computing is becoming more and more popular, but many businesses are still unsure which type of cloud is right for them. This article explored the pros and cons of hybrid, public, and private clouds and provided advice on which type of cloud is best for your organization. Protected Harbor offers a wide range of cloud computing services to help businesses reduce costs and increase efficiency by outsourcing data storage or remote office functions. It can host a wide range of applications, including e-mail, video conferencing, online training, backups, software development, and much more. Protected Harbor is the right choice for businesses of all sizes. We are providing a free IT Audit for a limited time. Get a free IT consultation for your business today.

Common mistakes organizations make while migrating to the cloud.

Cloud service providers like AWS, Google, and Microsoft Azure allow organizations to host their data effortlessly without a need for specialized hardware. Many small and large organizations are rapidly moving to the cloud from traditional hardware IT infrastructure. Cloud services provide the benefit of just paying for the resources you actually use, which save you from additional cost.

Cloud environments are generally reliable, scalable, and highly available, prompting both start-ups and enterprise-level businesses to take advantage of migrating to the cloud.

“The sun always shines above the clouds.” But what’s missing in this quote is that beneath the cloud, there are often torrential downpours, high winds, and lightning. The same is the case with cloud computing. However, cloud computing provides a lot of benefits, there are some pitfalls as well.

This guide has compiled organizations’ common mistakes while migrating to the cloud. Avoid these common mistakes to ensure a smooth transition to the cloud that showers your organization with benefits.

1. Migrating to the cloud without governance and a planning strategy

It’s simple to provision resources in the cloud, but there are unplanned policy, cost, and security problems that can be incurred. Here planning and governance are essential. A related mistake IT managers make is that they do not understand who within the organization is responsible for a specific cloud-related task, such as data backups, security, and business continuity.

Making a shift to a cloud platform with proper planning and governance can significantly level up your organization’s productivity and eliminate the infrastructure-related roadblocks. Moreover, you can get the highest return on investment with a cloud migration while starting with clearly defined business objectives, governance, and a planning strategy.

2. Migrating all data at once

You have assessed the cost and benefit, run tests to ensure your applications are correctly working, and are ready to shift to the cloud. You may want to migrate all of your data to the cloud at once to speed up the process, but it can cost you more downtime in the long run.

When you migrate to the cloud, you are more likely to experience some issues. Therefore, if you shift all data at once and a problem occurs, you can lose your business-critical or sensitive data. To avoid this situation, execute your cloud migration in steps. Start with the test or non-essential data and then proceed with the critical data.

3. Not designing for failure

Being a pessimist can put you at risk while migrating to the cloud. As the traditional IT infrastructure, cloud servers are also prone to downtime. In this case, the best workaround is to design for failure. Amazon mentioned that “there is a need to design for failure in its cloud architecture best practices, and if you do so, nothing can defeat you.” Designing for failure includes setting up for safety to ensure that any outage that occurs results in minimal damage to the company.

I am designing a cloud infrastructure by keeping failure and downtime in mind, incorporating a fault-tolerant cloud-optimized architecture. The recovery strategies should be in-built into the design to ensure minimal damage and optimal output even when the cloud architecture faces downtime.

4. Neglecting security aspects

However, cloud service providers offer a security layer, but it is prone to security threats if the application has flaws. Any potential risk can cost you a lot if your IT infrastructure has flaws while migrating to the cloud. It is even more critical while dealing with sensitive data, such as healthcare or financial data.

The implications of attack in the case of financial data are severe. Potential security risks include account hijacking, data breaches, abuse of information, and unauthorized access. Data encryption and robust security testing are a must while migrating data to the cloud. Neglecting cloud security can put an organization to severe damage. It is always recommended to go through the Service Level Agreement (SLA) that you sign with the cloud provider.

5. Not controlling cost and prioritizing workloads

Once you see the power of cloud computing, it can stimulate enthusiasm for cloud-based projects. But if you start the process by defining use cases and understanding the cost modeling, it will help you keep track of cloud computing costs. Consider a common scenario_ when organizations use cloud services, they sometimes migrate large data sets or non-priority workloads to the cloud that might be better handled in another way.

As the data scales, the cloud cost exceeds it, and added expenses can obscure the financial benefit offered by the cloud. Having a robust understanding of what you want to achieve from a business point of view and developing a cost-based assessment will ensure that you get the cloud benefits.

6. Inadequate understanding of organization infrastructure and networks

It is essential for organizations to thoroughly understand their assets and workflow before migrating to the cloud. Organizations have inadequate knowledge of how their systems and data need to work together. As a result, they fail to create a complete map of their network and infrastructure and deliver failure.

Each cloud service provider offers unique attributes. Organizations can’t compare these providers when they do not fully understand what they need in a provider. Moreover, when organizations move their data to the cloud without proper understanding, it can cause breaks in their IT infrastructure that negatively impact consumers.

7. Not having an exit strategy

An exit strategy outlines meditations regarding extracting your applications from a cloud whenever required. Many organizations think an exit strategy is unnecessary as they don’t expect to get back from the cloud. However, it’s essential to have an exit strategy, even if you never use it. It also needs to be considered for changing service providers, not just bringing workloads back on-premises.

Conclusion

Organizations need to consider all mentioned aspects while migrating to the cloud. Taking these considerations into account before migration can help organizations reduce potential risks. Cloud migration is a complicated process that can benefit from professionals’ assistance. Help your organization avoid these mistakes by working with experienced partners.

Cloud migration is a complicated process, and disregarding any piece or feature can jeopardize the migration’s success. Protected Harbor guarantees 99.99 percent uptime with a remote tech team available 24×7, remote desktop, complete cybersecurity, and more. With the appropriate mix of business processes, technology, and people, you’ll be well on your way to reaping the benefits of cloud computing that so many businesses are currently reaping. Just make sure you’re aware of the pitfalls and typical blunders we’ve discussed that can sabotage your cloud migration. Contact us today to migrate to the cloud.

AWS VS Azure Serverless CRS/ Event Sourcing Architecture

For the past few years, serverless cloud computing has been the talk of the town, especially when it comes to resource efficiency and cost reduction. However, only cloud-optimized design patterns and architectures can make this achievable. The cloud is transforming how software is planned, produced, delivered, and used. It works by focusing on the development of small and independent businesses.
This article will examine the serverless CQRS and event sourcing architectures of Azure and AWS. Let’s get this party started.

CQRS and Event Sourcing Pattern

Command and Query Responsibility Segregation (CQRS) is a pattern that can be leveraged where high throughput is required. It provides different interfaces for reading data and operations that alter the data. CQRS addresses various problems. In conventional CRUD-based systems, conflicts can arise from a high volume of reading and writing to the same data store.

The event sourcing patterns are used with the CQRS to decouple read from write workloads and enhance scalability, performance, and security. Microservices replay events via the event store to compute the appropriate state. The event sourcing patterns work efficiently with the CQRS because data can be reproduced for a particular event, even if the query and command data stored have different schemas.

AWS Lambda VS Azure Functions

AWS Lambda is a serverless computing service software executing code in response to a triggered event. It automatically manages all the computing resources for streaming regular operations without provisioning or managing servers. AWS lets you trigger Lambda for over 200 services and SaaS applications on a pay-as-you-go basis. It performs resource management, such as server and operating system maintenance, code and security patch deployment, automated scaling and power provisioning, code monitoring, and logging.

Key Functionalities

• Develop custom back-end services
• Automatically respond to code execution requests
• Run code without provisioning or managing infrastructure

Azure Function helps you accelerate and simplify serverless application development. You can develop applications more efficiently with a serverless compute, event-driven platform that helps resolve complex orchestration issues. Unlike AWS Lambda, Azure Functions provide multiple feature deployment options, including One Drive, KUdu Console, GitHub, Visual Studio, DropBox, and Zip,

Key functionalities

• Schedule event-driven tasks across services
• Scale operations based on customer demand
• Expose functions as HTTP API endpoints

AWS Dynamo DB VS Azure COSMO DB

Amazon DynamoDB is a fully managed NoSQL database that provides predictable and fast performance with seamless scalability. It lets you offload the administrative burden of scaling and operating a distributed database without hardware provisioning, replication, setup and configuration, cluster scaling, or software patching. Moreover, it provides encryption at rest, eliminating the complexity and operational burden involved in protecting sensitive data.

Critical features of AWS DynamoDB include

• Automated Storage scaling
• Fully distributed architecture
• Provisioned throughput

Azure COSMO DB is a fully managed NoSQL database service for advanced application development. With CosmoDB, you can get guaranteed single-digit millisecond response times and availability, instant and automatic scalability, backend by SLAs, and open-source APIs for Cassandra and MongoDB. You can enjoy fast reads and writes with multi-region and turnkey data replication. Moreover, it provides real-time data insights with no-ETL analytics.

Key features include

• Fast, flexible application development
• The guaranteed speed at any scale
• Fully managed and cost-effective serverless database

AWS Cognito VS Azure B2C

Amazon Cognito gives authorization, authentication, and user management for your mobile and web applications. Users can directly sign in with a username and password or use a third party, such as Amazon, Facebook, Apple, or Google accounts. The two main components of AWS Cognito are identity pools and user pools. Identity pools let you grant users access to other AWS services, and user pools are user directories providing sign-up and sign-in options for application users.

Features of Amazon Cognito include

• Built-in, customizable web UI
• User profiles and directory management
• OpenID Connect providers

Azure Active Directory B2C is an identity management service enabling custom control of how users can sign up, sign in, and manage profiles using Android, iOS, .Net, and single-page (SPA). You can provide your customers with the flexibility to use their preferred enterprise, social, or local account identities to access applications. Azure B2C is a customer identity access management (CIAM) service capable of supporting millions of users and authentications per day.

Features of Azure B2C include

• Strong authentication for customers leveraging their preferred identity providers
• Integration with databases and applications to capture sign-in
• Customization for each registration and sign-in experience.

AWS API Gateway VS Azure API Management

AWS API Gateway is a fully managed service making it easy for developers to create, deploy, monitor, maintain, and secure APIs at any scale. These APIs are the “front door” for applications to access business logic, functionality, or data from backend servers. Through API Gateway, users can create WebSocket and RESTful APIs enabling real-time two-way communication applications. Moreover, it supports serverless and containerized workloads and web applications.

Azure API Management is a way to create modern and consistent API gateways for back-end services. It helps organizations publish APIs to external and internal developers to unlock the potential of their benefits and data potential. Each API consists of one or more operations, and it can be added to products. Today’s innovative organizations are adopting API architectures to accelerate growth. Moreover, it lets organizations build applications faster and deliver prompt value to customers using the API-first approach.

Conclusion

If you want to exploit the full potential of serverless cloud computing, all non-functional requirements should be known before developing an application. Know your business requirements and choose the right cloud service provider with the correct services and features. This prior knowledge will help you find exemplary architecture and design patterns and combine them. Software developers and software architects should give more thought to the event sourcing architecture in the case of distributed systems.

Protected Harbor is the market’s underdog player that consistently exceeds consumer expectations. It has endured the test of time with its Datacenter and Managed IT services, and all clients have said: “beyond expectations.” It’s no surprise that businesses prefer to stay with us because we offer the best cloud services in the industry and the best IT support, safety, and security. This is the road to the top of the heap.