HomeArchitectureData and StorageHow can organizations improve their cloud security with Anjuna?

How can organizations improve their cloud security with Anjuna?

The ever-evolving cybersecurity landscape demands that organizations secure their sensitive data. The specter of data breaches and unauthorized access continues to cast a long shadow, hindering the full potential of cloud adoption. Even if standard encryption protects data in transit and at rest, serious vulnerabilities still exist.

Confidential computing is a cutting-edge cloud computing technology that has the potential to change data security completely. Confidential computing guarantees total data security as it processes data using isolated, protected CPU resources. This cultivates trust and is a game-changer as executives are empowered to confidently move even their most sensitive data and workloads to the cloud as the dependence on public and hybrid cloud services grows.

This article provides an overview of the podcast conversation Anjuna Vice President of Engineering, Steve Van Lare, had with us discussing the difficulties enterprises encounter when it comes to cloud security and how Anjuna Seaglass, their product, improves data protection. You can catch the full episode here.

What challenges do organizations face when it comes to cloud security? 

Here are some of the top challenges organizations face related to data security in the cloud:


Cloud security breaches often stem from misconfigurations. Cloud environments’ user-friendly, data-sharing nature makes it tricky to lock down access. Limited visibility and reliance on cloud provider security controls further complicate matters. Many organizations need more in-house expertise to navigate this landscape, and multi-cloud deployments with various security tools increase the risk of exploitable gaps going unnoticed. This combination of factors makes cloud security misconfigurations a persistent threat.

Insecure API’s: 

Cloud security relies on securing both interfaces and APIs. Their documentation helps users but also hackers. APIs are the main way to access cloud services (think the Internet!), so strong security is crucial. Public cloud services add another layer of risk if accessed by unauthorized parties. Secure those interfaces and APIs, or your data might be at risk!

Account HIjacking: 

Account hijacking is a critical threat in cloud computing, especially as businesses rely more on cloud services. Hackers with stolen credentials can access sensitive data or take control of accounts. Unfortunately, cloud environments can make it harder for organizations to detect and respond to these attacks than traditional on-premises infrastructure.

Insider Threats: 

Insiders, both employees and service providers, can be a big cloud security risk. Their authorized access can be misused, accidentally or intentionally, causing data breaches. The cloud worsens this—less control over infrastructure and public internet access makes it harder to catch these insiders. Tight access controls and monitoring are key!

Organizations need a confidential computing platform to tackle data threats, which may be a new term for many; however, its principles are based on fundamental security features already present in many devices. One good example is your credit card chip, which does computations that encrypt your credit card information, denying access from unauthorized personnel. The concept behind confidential computing is built on the use of a secure area within a processor called a Trusted Execution Environment (TEE). So, this TEE resembles a vault embedded in the CPU where you can safely store personal information such as phone numbers or addresses without fear.

How does Anjuna come into the picture?

Anjuna, specifically their Anjuna Seaglass product, tackles this challenge by offering a secure environment for running applications. Anjuna Seaglass isolates applications within secure enclaves, protecting your data and code from unauthorized access, even by privileged users on the underlying system. This isolation, coupled with data encryption throughout its lifecycle (in use, at rest, and in transit), ensures the confidentiality of your sensitive information. Anjuna’s user-friendly approach makes it easy to leverage this security for your existing applications, even custom-built ones, without requiring extensive code modifications. This allows businesses to confidently migrate and run workloads in the cloud without compromising security. 

Anjuna also facilitates secure collaboration on AI projects using Trusted Execution Environments (TEEs) and enables secure multi-party computation (SMPC), a powerful tool for data analysis without revealing the underlying data itself. This is valuable for finance and other sectors where privacy is key. Even in the cryptocurrency world, Anjuna secures cryptographic operations to combat cyberattacks. Anjuna’s platform facilitates seamless integration across multiple cloud providers, minimizes performance impact, and prioritizes ease of use. This enables organizations to secure existing applications without modification seamlessly. Furthermore, robust attestation capabilities empower organizations to verify the integrity of their software independently, bolstering overall security posture. Confidential computing paves the way for a secure and innovative cloud future, mitigating the risks of data breaches and insider threats.


The podcast illustrated how confidential computing significantly changes our approach to data protection and marks a paradigm leap in cloud security. Confidential computing effectively eliminates the conventional trust barriers that have long impeded cloud adoption by isolating applications inside a private enclave at the CPU level. This creates a more narrowly defined circle of trust, enabling the safe execution of data on a far wider range of resources—not just large cloud providers but also distributed computing and decentralized finance (DeFi) platforms.

The ramifications are tremendous. Thanks to confidential computing, organizations may confidently unlock cloud computing’s full potential. It is now possible to securely analyze and use even the most sensitive data, previously thought too dangerous for cloud processing. That means opportunities will be abundant in the future, and innovation will flourish on the foundation of reliable data security.


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