Navigating Cloud Migration: Overcoming Security, Governance, and Compliance Challenges
This article provides a high-level overview of the key considerations and strategies for organisations to navigate the transition effectively, focusing on security issues, governance, and privacy challenges.
7 minutes read
May 30, 2024

This article provides a high-level overview of the key considerations and strategies for organisations to navigate the transition effectively, focusing on security issues, governance, and privacy challenges. Then, it will suggest a solution that can help organisations overcome these challenges effectively.
Understanding the Landscape
In today’s fast-paced business environment, the allure of cloud computing is undeniable. The ability to scale IT resources dynamically, cutting costs and optimising operations, has made the cloud an irresistible proposition for many. Businesses are drawn to the flexibility that allows them to adjust their resources on the fly, the cost savings from eliminating hefty infrastructure maintenance, and the unprecedented accessibility enabling employees to work from anywhere.
Cloud migration also opens the doors to rapid innovation, providing a platform where new applications and services can be deployed swiftly, giving companies a competitive edge. Moreover, the robust disaster recovery options offered by cloud solutions ensure that businesses can maintain continuity even in the face of unforeseen emergencies.
Yet, amidst these advantages, lie significant challenges that can pose serious risks if not addressed properly. Now, we are going to look closely at each of those challenges and what risks they pose.
Security Challenges when Transitioning to the Cloud
1. Changing Security Perimeter
Transitioning to the cloud fundamentally changes the traditional security perimeter. Instead of a well-defined, physically confined environment, organisations now face a dispersed and dynamic security landscape. This expanded perimeter includes not only the cloud infrastructure but also various devices, endpoints, and remote work locations.
Traditional security measures, which were adequate for on-premises environments, often fall short in this new context. This necessitates a paradigm shift in how security is approached, requiring comprehensive strategies that encompass network security, endpoint protection, and user authentication across distributed environments.
What It Means in Practice
An overlooked security gap during its cloud transition can cause a financial services company to experience a data breach. The exposed sensitive customer financial information can then result in severe reputational damage, regulatory fines, and loss of customer trust. The company would have to invest heavily in enhanced security measures and customer remediation efforts.
2. Data Confidentiality and Privacy
Protecting sensitive data is paramount during a cloud migration. Unauthorised access, data breaches, and leaks pose significant risks. Encryption is a critical measure to ensure data confidentiality, both in transit and at rest.
Strong identity and access management (IAM) frameworks, combined with multi-factor authentication (MFA), can significantly enhance security by ensuring that only authorised users have access to sensitive data. Additionally, robust key management practices are essential to protect encryption keys from being compromised.
Data confidentiality and privacy for data while it's being used are also crucial. This is where Privacy-Enhancing Technologies (PETs) come into play. Secure enclaves (which we’ll discuss later in this article) isolate data during processing, and differential privacy ensures that individual data points cannot be re-identified even when aggregated data is analysed, by adding a controlled amount of noise to data queries.
What It Means in Practice
Imagine a healthcare provider facing a significant breach when patient records stored in the cloud are accessed due to insufficient encryption and weak IAM policies. This breach could result in a massive leak of personal health information (PHI), leading to substantial fines under HIPAA regulations, lawsuits, and loss of patient trust.
3. Visibility and Monitoring
One of the challenges with cloud environments, especially multi-cloud setups, is maintaining comprehensive visibility over data and activities. Data fragmentation across different servers can lead to blind spots where malicious activities might go unnoticed.
Effective monitoring tools and strategies are essential to maintain visibility and ensure that all data flows and activities are tracked in real-time. Implementing centralised logging and monitoring systems can help in identifying and responding to security incidents promptly, thereby minimising potential damage.
What It Means in Practice
Hackers could exploit inadequate monitoring of a multi-cloud environment to infiltrate the company's systems, accessing sensitive customer data over several months before detection. This could lead to significant financial losses, regulatory penalties, and long-term damage to the company's brand reputation.

4. Regulatory Compliance
Different jurisdictions have varied regulatory requirements concerning data privacy and protection. Compliance with laws such as the General Data Protection Regulation (GDPR) is crucial. Organisations must ensure that their cloud service providers (CSPs) adhere to these regulations.
This involves conducting thorough due diligence on the CSP's data handling practices and ensuring they align with the organisation's compliance needs. Additionally, organisations should implement continuous compliance monitoring to promptly identify and address any deviations.
With the Schrems II decision by the CJEU, which invalidated the Privacy Shield and questioned data transfers using Standard Contractual Clauses (SCCs), compliance has become even more complex. The decision highlighted the need for robust mechanisms to ensure data transferred outside the EU is adequately protected.
Another EU-USA data privacy framework, the EU–US Data Privacy Framework, was agreed upon in 2022. It introduces safeguards to limit access to EU data by US intelligence services and establishes a Data Protection Review Court (DPRC) for EU individuals. This will likely be challenged in the future again and organisations need to stay on top of these changes.
Data sovereignty regulations further complicate cloud adoption, as companies must navigate varying rules on what data can be moved to the cloud and where it can be stored.
What It Means in Practice
A multinational corporation might not adequately ensure that its CSP adheres to data residency and protection regulations, resulting in unauthorised data transfers outside the EU. This oversight could lead to substantial financial penalties and damage the corporation's standing with both customers and regulatory bodies.
5. Access Control
Implementing Role-Based Access Control (RBAC) ensures that only authorised personnel have access to sensitive information. Effective RBAC systems help prevent unauthorised data access and potential security breaches.
This involves defining clear roles and permissions based on the principle of least privilege, ensuring that users only have access to the data necessary for their roles. Regular audits and reviews of access controls are essential to adapt to changing organisational structures and responsibilities.
Differential privacy can provide a more nuanced approach by utilising a privacy budget, which allows for more granular control over data access. Instead of simply granting or denying access, different privacy budgets can be assigned to different users, offering more flexibility and ensuring that sensitive information is adequately protected while still allowing necessary access.
What It Means in Practice
An employee with excessive privileges might inadvertently access and leak sensitive corporate information. This incident could cause major operational disruptions, financial loss, and harm to the company's competitive position.
6. Data Governance
Establishing a comprehensive data governance framework is essential to manage the data lifecycle, from creation to deletion. This includes regular audits, data integrity checks, and ensuring data is stored and processed securely.
A robust data governance strategy involves defining clear data ownership, implementing data classification schemes, and ensuring that data handling practices comply with relevant regulations and organisational policies. Additionally, integrating automated data management tools can help maintain consistency and reduce the risk of human error.
What It Means in Practice
Inconsistent data handling and classification might lead to critical data loss and corruption. The institution would face substantial remediation costs, legal liabilities, and reputational damage.
Prevent Cloud Migration Challenges with Secure Enclaves
Secure enclaves, also known as confidential computing, offer a powerful solution to address many of the challenges associated with cloud migration. By creating isolated and protected environments within the cloud, secure enclaves ensure that sensitive data and processes remain insulated from potential threats. This isolation helps maintain a robust security perimeter, protecting against unauthorised access and data breaches.
Additionally, secure enclaves are a security paradigm designed to protect data while it is being processed. Unlike traditional data protection that just focuses on data at rest and in transit, secure enclaves specifically secure data in use, while also integrating strong identity and access management frameworks to control access effectively.
Moreover, secure enclaves support stringent role-based access control systems, ensuring that only authorised personnel can access sensitive data, and facilitate robust data governance frameworks to manage the data lifecycle securely.

Why Choose OBLV Deploy
OBLV Deploy is a solution developed by Oblivious, which enhances these capabilities by providing additional features tailored to complex enterprise needs. Unlike traditional enclaves that run virtual machines, OBLV Deploy utilises AWS Nitro Enclaves to directly deploy containers from your registry, simplifying compliance verification and enhancing security.
It integrates seamlessly with existing Kubernetes infrastructure, maintaining stringent access restrictions even in the cloud without modifying the CI/CD pipeline.
OBLV Deploy provides comprehensive visibility and monitoring tools that track all activities within their environments in real time, helping organisations quickly detect and respond to security incidents. It has been designed with compliance in mind, offering features that help organisations meet various regulatory requirements and align their data-handling practices with industry standards.
OBLV Deploy also leverages enterprise-grade open-source tools for logging, authentication, and observability, preserving existing workflows and enhancing overall system productivity and security. Furthermore, our solution supports autoscaling, sticky sessions, and load balancing, ensuring optimal performance and flexibility without compromising security.
Embracing the Cloud with Confidence
Transitioning to the cloud is a strategic move that can drive significant benefits for organisations. However, it requires careful planning and execution to navigate the associated security and governance challenges.
By adopting robust security measures, ensuring compliance, and addressing skills gaps, organisations can achieve a successful cloud migration that doesn’t compromise their security.
At Oblivious, our OBLV Deploy solution is designed to address these challenges, providing a secure and compliant framework for cloud migration. By aligning with industry best practices and leveraging our expertise, organisations can confidently transition to the cloud, unlocking its full potential while safeguarding their critical assets.
confidential computing
secure enclaves
privacy enhancing technologies
cloud security
cloud migration
saas