Cloud network security is a general term for the measures needed to secure virtualized cloud environments. It covers policies, processes, controls, and technologies. And it applies to private, public, and hybrid cloud deployments.
Cloud network security resembles traditional on-premises network security but with important divergences related to defending virtualized environments.
Like on-premises security, cloud network security defends network assets against external threats. Security systems for the cloud assess access requests and authorize users to access resources. They provide visibility for security managers, including real-time alerts and audit logs. And they neutralize malware and illegitimate data transfers.
Unlike standard security solutions, cloud defenses are not based on-site. Cloud security systems function via software-defined networking tools. Virtual gateways reside in the cloud, where they can protect applications and data from access requests – wherever users may be.
Cloud computing is the use of virtualized platforms to host applications and store data. The cloud exists as a worldwide network of servers and is accessible via a standard internet connection.
The user’s apps and data reside off-site, removing the need for on-premises hardware. Instead, network resources are “virtualized”. Resources are accessible to the owner or user, but they are hosted by cloud providers.
Users can choose to access software-as-a-service (SaaS) apps. Or they can build customized cloud deployments via platform-as-a-service (PaaS). In all cases, security is a shared responsibility between users and cloud service providers (CSPs).
Providers must secure hardware used to host cloud apps or data. Users must protect any data passing through cloud environments. They are also responsible for managing access to cloud assets.
Cloud network security solutions vary, but could include:
The cloud is everywhere in modern life. Businesses, non-profits, and government agencies all rely on cloud infrastructure to deliver services and host workloads. But the rise of the cloud has created new security vulnerabilities. This means that organizations need to rethink their network security policies.
Traditional on-premises networks have simple security architecture. Central resources are protected by the network perimeter. Endpoints are few in number and easy to monitor. Access patterns and user communities change slowly, if at all. In this context putting in place firewalls and threat detection systems is relatively simple.
Cloud network security presents a different set of challenges.
Adopting a cloud network security strategy has many advantages. The benefits of retooling your security setup for the cloud include:
The most important benefit of cloud network security is enhanced protection for sensitive data.
Cloud security solutions encrypt data at rest on the cloud. If files are stolen, cybercriminals will not be able to read data easily. Encryption of data in transit also makes it harder to track information flows and launch targeted interception attacks.
Micro-segmentation separates confidential data from the rest of an organization’s cloud network. Data resides in software-defined compartments that are accessible with the right credentials. Cloud security systems can define these segments at a granular level.
IT teams need visibility to monitor threats and user activity. But legacy security solutions are not well-adapted to discovering cloud apps and tracking activity in a cloud environment.
Cloud-native network security systems bring together all virtualized assets. Admins can monitor network activity in real-time via a single pane of glass. And automated alerts deliver information about potential threats before they become critical.
Security policies should reflect the security needs of network owners and be delivered to all users. But delivering security policies consistently in cloud settings is a complex task. Unified cloud network security systems solve this problem.
IT teams can automatically deliver updated security policies to endpoints. Cloud-native solutions also make it easier to deliver policies across hybrid or multi-cloud environments.
Cloud resources are vulnerable to data breach attacks. Compromised remote access devices, phishing emails, and credential theft are common entry methods. Cloud-native security controls are the only effective response.
Robust security systems detect, contain, and neutralize malicious threats before they cause damage.
Cloud network security uses threat intelligence to counter the latest threats. Intrusion detection systems guard cloud gateways and scan network traffic. Anti-bot scanners also track emerging DDoS attacks. This prevents downtime from traffic flood attacks.
Automation allows IT teams to work efficiently and securely. Users can automatically extend access controls and threat detection to new cloud resources. There is no need for lengthy manual configuration processes. New services receive instant coverage, limiting the risk of human error.
Cloud network security systems make sense for organizations that manage pure cloud or hybrid networks. But implementing cloud security is not a simple process. Challenges faced by organizations include:
Under the shared responsibility model, CSPs and users share responsibility for securing cloud resources. This is accepted by users when they source cloud solutions. But determining areas of security responsibility can be difficult.
This model leaves scope for overlap and confusion. For example, cloud users may rely on encryption provided by their cloud service provider. As a result, users may not apply encryption for data in transit or use Data Loss Prevention tools.
It’s essential to define areas of responsibility before activating cloud services. Most SaaS providers build security features into their products. But users always have a role to play, and this varies between different cloud contexts.
Change is a core feature of cloud deployments. Apps come online constantly. Configurations may change to reflect developing workflows. New users connect from home or abroad. And individual employees can connect cloud containers with a few mouse clicks.
Automation can sometimes make this problem worse. For instance, companies may use autoscaling to build cloud deployments quickly. This boosts efficiency, but it also leaves security teams scrambling to catch up.
Cloud network security systems need to adapt to change. Admins must track access requests, respond to alerts, and discover threats if they infiltrate network infrastructure. This is even harder in hybrid environments that mix on-premises systems with extensive public and private cloud deployments.
Achieving cloud security can be challenging. But managing cloud security is far from impossible, even for small businesses. Follow these cloud network security best practices and build a security solution that meets your goals:
Zero Trust Network Architecture (ZTNA) is a security model that teaches users to trust no one. This is a good rule to apply when securing cloud infrastructure.
Avoid situations where users have global network privileges, and adopt a denial-by-default stance. Require more than one authentication factor when allowing user access. And segment cloud environments to limit east-west movement within the network.
Zero Trust changes the focus of security strategies to meet cloud computing needs. Instead of policing the network edge, admins concentrate on managing identities. This is a good fit for dynamic cloud environments. Deployments may constantly change. But user communities are easier to manage.
Internet-facing assets are a critical security risk. Access portals, web forms, and email accounts connect with the wider internet. This makes them common vectors for malware and data theft attacks.
Configure cloud apps to minimize contact with the internet. If necessary, leverage threat protection tools to guard vulnerable points. Web Application Firewalls (WAF) can deny access to suspicious network traffic. DDoS and intelligent detection systems handle malicious agents that breach the firewall.
Set automated alerts to inform admins about potential risks. When building cloud network security systems, prioritize internet-facing assets. Carry out enhanced risk assessments, log user activity, and test access controls to secure entry points.
Cloud security systems usually include the ability to micro-segment networks. Micro-segmentation lets you guard critical data with an additional layer of protection. This has security benefits, while also helping companies comply with relevant data security regulations.
Private clouds allow users to communicate and collaborate without creating links to the external internet. This limits the scope for attackers, whether they use email phishing or malware injection.
Build networks that blend private and public cloud tools without compromising security. Determine which workflows require internet access. Switch everything else to private access technology that does not require external IP addresses.
The principle of shared responsibility divides security functions between service providers and consumers.
Before commissioning new SaaS or IaaS products, be clear about security responsibilities. Create a security policy for each cloud service explaining your areas of responsibility and the security controls you will use. This should complement your cloud partner’s security policy. There should be no areas of ambiguity.
Robust cloud network security rests upon good documentation and organization.
Cloud security policies define the controls used to secure cloud resources. This could include multi-factor authentication, Identity and Access Management, and data encryption. Policies also inform users about their security responsibilities.
Every SaaS app or cloud-hosted database should have a security policy. Store policies centrally. And use automated delivery to ensure that policies are implemented consistently and rapidly.
Cloud network security is advancing all the time. And one of the most exciting research areas is the application of Artificial Intelligence to secure cloud environments.
AI harnesses machine learning to assess cloud security threats. Also known as User and Entity Based Analytics (UEBA), this technology scans user activity to detect malicious agents. AI engines compare real-time user behavior to logs of previous activity. In theory, this information helps to authenticate legitimate users and unmask intruders.
However, UEBA faces some challenges before becoming mainstream. For example, AI requires structured data sets and huge amounts of information to function properly. Generating useful data takes time and may also breach privacy regulations.
Attackers will also adapt to the use of machine learning. Expect to see Advanced Persistent Threats (APTs) that gather user activity data and build fake profiles to fool UEBA scanners. If IT teams rely too much on AI, this could become a security threat.
Legacy security systems were designed for on-premises networking. Next-generation cloud security tools are built into the cloud, where they operate alongside SaaS apps and cloud infrastructure.
These features work together to mitigate security risks associated with the cloud. In a world where businesses depend on cloud infrastructure, robust cloud network security is essential.
NordLayer will help you build customized cloud network security architecture. Our products include a range of cloud-native features to protect data and enable secure collaboration. For example, users benefit from:
Achieve reliable, comprehensive cloud network security. Get in touch with NordLayer and discuss your options today.
Joanna Krysińska
Senior Copywriter
A writer, tech enthusiast, dog walker, and amateur pastry chef, Joanna grew up in a family of engineers and mathematicians, so a techy mind is in her genes. She loves making complex tech topics less complex and digestible. She also has a keen interest in the mechanics of cybercrime.
Subscribe to our blog updates for in-depth perspectives on cybersecurity.
