Over the last decade, large-scale digital transformations across industries have been prompted by the growth in cloud computing, the increase in remote working since the Covid-19 lockdowns, and more recently the rise of AI technology.
These digital transformations have inevitably led to businesses collecting, storing, and processing more data than ever before. As digital infrastructure has changed, protecting that data has required an updated approach to cybersecurity.
The growth in cloud usage is clear – In 2026, 76% of large enterprises reported spending more than $5 million USD per month on the cloud. (Flexera 2026 State of the Cloud Report)
In this insight, we will cover:
- What is traditional IT security?
- What is cloud security?
- What are the key differences between traditional IT security and cloud security?
- What is the best security approach for your business?
What is traditional IT security?
A traditional IT security strategy is centred on on-site infrastructure: servers, storage, networking equipment and applications housed within your own data-centre or office environment. You manage procurement, installation, configuration, patching, monitoring, backup, disaster-recovery, and access control.
This gives you direct control over the systems, their physical security, and the network perimeter, but it also comes with the responsibilities of cost, capacity planning, scaling, ongoing operations and staying ahead of threats.
A traditional IT security stack can include:
- A perimeter-based security model
- Static infrastructure scaling (you add hardware when needed)
- Manual patching and update schedules
- Disaster-recovery often as a separate project (off-site, replication)
- Access control based on “inside the network = trusted” assumptions
Because you own and operate the stack, you also bear the full cost of physical infrastructure, staffing, redundancy, security operations, capacity growth and risk mitigation.
What is cloud security?
Cloud security is designed for infrastructure, platforms and services delivered by third-party providers (public, private or hybrid). The provider hosts the underlying infrastructure and can provide an adaptable security suite, with the specific configuration depending on your requirements. Depending on the levels of management included in your solution, the provider can handle some or all of the security measures on your behalf, as part of a shared responsibility model.
The cloud model means you benefit from the provider’s scale, resilience, security expertise and global footprint. The security stack can be simply updated as threats and defenses change to ensure your infrastructure is always protected.
Key features of cloud security can include:
- A shared responsibility model with designated responsibilities for you and the provider
- Data-centric controls (encryption at-rest / in-transit, identity and access management (IAM), least-privilege)
- Dynamic security controls to suit scalable architecture
- Zero-trust approach: access is verified at every boundary rather than trusting based on network location
- Automation, continuous monitoring, cloud-native security
Public, private or hybrid cloud: The implications for security
With cloud deployments there are three common models: public cloud (multi-tenant infrastructure), private cloud (single-tenant infrastructure with dedicated hardware) and hybrid cloud (a mix of both).
- Public cloud delivers scalability and cost-efficiency but comes with an increased attack surface and external exposure due to the shared hardware.
- Private cloud offers you more control, and the security of dedicated hardware, making it easier to meet compliance and regulatory requirements.
- Hybrid cloud allows you to place sensitive workloads (or data) in the private segment, while using public cloud for less sensitive, scalable services. This often strikes a balance between agility and control.
When evaluating security in these models you should ask:
- What is the division of responsibility between you and the provider?
- How much visibility and control do you retain?
- What features are in place?
- What elements of the security stack are managed by the provider?
What are the key differences between traditional and cloud security?
While both models share the same goal – protecting systems, data, and users – the way security is applied and managed differs significantly between traditional on-premise environments and the cloud.
Control and management
Traditional IT: Organisations maintain full control over every layer of their infrastructure, from hardware and networking to operating systems and security tools. Your business has full responsibility over maintenance, patching, and protection.
Cloud: Control over the underlying infrastructure is shared with the provider. Your provider may offer various levels of management, removing the responsibilities from your team.
Perimeter security versus identity-centred protection
Traditional IT: Security is often built around a defined network perimeter, where users and devices inside the network are implicitly trusted.
Cloud: The perimeter is fluid, with users and data distributed across environments. Modern cloud security relies on zero-trust principles – verifying every user and request – alongside identity and access management (IAM), encryption, and micro-segmentation.
Scalability and flexibility
Traditional IT: Scaling requires purchasing and configuring additional hardware or software, which can be time-consuming and costly.
Cloud: Resources scale on demand, so security controls must adapt automatically. Automated provisioning, policy enforcement, and continuous monitoring are built into many modern cloud environments.
Responsibilities and cost model
Traditional IT: Security is fully owned and managed in-house, requiring significant upfront investment in hardware, maintenance, and staffing. This offers full control but higher ongoing costs and operational overhead.
Cloud: Responsibility is shared with the provider, who manages the core infrastructure while you secure your data and configurations. Costs shift to a pay-as-you-go model, improving scalability but requiring clear governance of roles and responsibilities.
Monitoring and automation
Traditional IT: Security tends to rely on periodic updates, manual log reviews, and standalone tools.
Cloud: Cloud platforms enable real-time monitoring, machine-learning-based threat detection, and automated remediation across multiple regions and workloads.
Compliance and data location
Traditional IT: Data location and physical security are directly managed, with the responsibility to meet standards entirely falling on your business.
Cloud: You should confirm that your provider meets relevant compliance standards and that you consider where the infrastructure is physically located to ensure data sovereignty.
How has AI changed cybersecurity?
AI has changed both sides of cybersecurity. Attackers are using it to work faster and at greater scale, and defenders are using it to detect and contain threats before they cause serious damage.
How AI has changed cyberattacks
Generative AI has made common attack techniques easier and cheaper to carry out. According to IBM’s Cost of a Data Breach Report 2026, AI-driven attacks rose by 56% in a year and now account for more than one in four malicious attacks. Deepfake impersonation, AI-enabled malware and AI-generated phishing were the most common types.
AI is also shortening the time organisations have to respond. In its assessment of AI’s impact on cyber threat to 2027, the UK’s National Cyber Security Centre (NCSC) expects the gap between a vulnerability being disclosed and being exploited to narrow further. It also expects the volume of attacks against unpatched systems to increase. For traditional environments that rely on manual patching schedules and periodic reviews, keeping pace becomes harder.
How AI has strengthened defences
The same technology is improving how threats are detected and handled. Modern EDR tools use machine learning to analyse behaviour on servers and devices as it happens, rather than relying only on signatures of known threats. This allows them to identify unusual activity, such as a process attempting to access credentials or move across the network, even when the specific attack hasn’t been seen before.
Response has become more proactive too. When suspicious behaviour is detected, AI-assisted platforms can trace it back to its source and automatically isolate the affected system, containing the threat while engineers investigate. IBM’s 2026 report found that organisations using security AI and automation extensively reduced average breach costs by USD 1.93 million and contained breaches 65 days faster than those that didn’t.
AI tools also bring their own risks. IBM found that 92% of organisations that had an AI-related breach lacked proper access controls for their AI systems. This makes governance of AI use part of your wider security strategy.
What this means for your environment
As AI makes attacks faster and harder to spot, detection alone can’t guarantee an attacker never gets through. Your ability to recover quickly matters just as much as your ability to prevent an incident.
Backup as a Service protects your data with managed off-site backups. If files are deleted, corrupted or encrypted by ransomware, your data can be restored. Keeping backups separate from your live environment is important, because attackers increasingly target backups to prevent recovery.
Disaster Recovery goes a step further by restoring your services, not just your data. A secondary environment allows your applications to be brought back online after a serious incident, such as a ransomware attack that takes your primary systems offline. Backups mean you can recover your data, and disaster recovery means you can keep operating while the primary environment is rebuilt.
What is the best security approach for your business?
As cloud adoption has matured, most organisations now take a blended approach to security. Every organisation is unique – the best approach is about finding the right balance of control, flexibility, and risk management for your operations.
For many, the cloud offers improved agility, scalability, and resilience, along with access to advanced security tools and automation that are difficult to replicate on-premise. However, the shift also changes how security responsibilities are divided, and introduces new challenges around visibility, governance, and configuration.
The most effective security strategy often combines both models, integrating traditional and cloud-based practices within a unified framework.
Your next steps
Choosing the right security model depends on your infrastructure, compliance requirements, and operational goals. We work with you to assess your current setup, identify potential risks, and design a security framework that aligns with your workloads, whichever type of environment you choose.
Our team takes a consultative approach, helping you understand where responsibilities lie, how to strengthen defences, and how to maintain full visibility of your data and infrastructure.
Get in touch with our experts to arrange a consultation and discuss the best security strategy for your business. Fill out our contact form and we will be in touch.
