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cloudian.com article

Data Security in Cloud Computing: Who Is Responsible?

https://cloudian.com/guides/data-security/data-security-in-cloud-computing-wh…

Cloud data security refers to the strategies, policies, and tools employed to protect sensitive information stored in cloud computing environments. To safeguard sensitive data and infrastructure, organizations must establish measures, policies, and technologies that secure their cloud computing environment. This includes protecting not only the stored data but also the infrastructure supporting it. [...] Ensure the use of strong encryption algorithms such as AES-256 to protect sensitive data both at rest and during transit, along with tokenization for added security. Make sure that all sensitive information stored in the cloud is encrypted both at rest and during transit using robust algorithms like AES-256. Additionally, consider employing techniques such as tokenization for an added layer of protection. ### Implement Data Loss Prevention Measures [...] Data loss can occur due to accidental deletion or malicious activities. Implementing effective data loss prevention (DLP) solutions can help you monitor user activity within the cloud environment and prevent unauthorized sharing or leakage of sensitive information. DLP tools also allow organizations to enforce policies that restrict certain actions related to sensitive data based on predefined rules. ### Enable Unified Visibility Across Private, Hybrid, and Multi-Cloud Environments

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pentera.io article

What Is Sensitive Data Protection in the Cloud?

https://pentera.io/glossary/sensitive-data-protection

In cloud environments, secure storage, access, and transmission protocols are used to handle sensitive data. Encryption is applied to data both at rest and in transit, and strict access control and authentication mechanisms are utilized to prevent unauthorized access. Additionally, data can be anonymized to protect certain sensitive information, while cloud providers also use tools and techniques like Intrusion Detection Systems (IDS) and audits to ensure protection measures align with [...] ## Unlocking the Power of the Cloud with Sensitive Data Protection As cloud computing evolves, organizations seek to leverage its flexibility and scalability. Effective protection of sensitive data in cloud environments is essential. By adhering to best practices and leveraging automated technologies, organizations can manage cyber risk and ensure the confidentiality, integrity, and availability of sensitive data, harnessing the power of cloud computing without compromising security. [...] Sensitive Data Protection in the Cloud refers to the strategies, measures, and techniques that organizations employ to safeguard confidential information stored or processed in cloud environments. This involves implementing access controls, encryption technologies, and compliance measures to protect against unauthorized access and adhere to data protection regulations.

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fortra.com article

Cloud Data Protection Strategies: Keeping Sensitive Information Secure

https://www.fortra.com/blog/cloud-data-protection-strategies-keeping-sensitiv…

Encryption: This cannot be stressed enough. Always encrypt data that's being stored in the cloud (data at rest) and data that's being transferred to and from the cloud (data in transit). The encryption keys should be securely stored and managed. Adopt Multi-factor Authentication (MFA): Implement robust identify and access control mechanisms across all cloud environments. MFA provides an additional security layer, making it harder for unauthorized users to access systems. [...] Use of Security Tools:Implement cloud security tools such as Cloud Access Security Brokers (CASBs), Firewalls, and antivirus software across all your cloud environments. Data Lifecycle Management: Implement policies and practices to control and manage the data flow, from creation and storage to the time it is deleted. Understand the security of your data during all stages of its lifecycle. [...] Data Classification Tools: Data classification tools add sensitivity labels to your data, ensuring that you maintain control over that data even when it's stored in cloud apps and repositories. Cloud Access Security Broker (CASB): A CASB can enforce security policies for cloud platforms to protect data and services. API Security: Protecting APIs that provide access to cloud services is another essential strategy.

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evernym.com article

How Companies Can Protect Sensitive Data in the Cloud

https://www.evernym.com/blog/how-companies-can-protect-sensitive-data-in-the-…

Given these challenges, securing cloud-stored data requires a comprehensive approach that involves encryption, access control, and continuous monitoring.

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media.defense.gov official

Secure Data in the Cloud

https://media.defense.gov/2024/Mar/07/2003407862/-1/-1/0/CSI-CLOUDTOP10-SECUR…

[6] Sensitive data should never be accessed over insecure channels. Connections via the web should be encrypted with TLS1.2 or higher. Many

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paloaltonetworks.com article

17 Tips to Securely Deploy Cloud Environments - Palo Alto Networks

https://www.paloaltonetworks.com/cyberpedia/17-ways-to-secure-when-deploying-…

Automatically classify data to understand what type of data is stored and where. Data classification policies should match security policies, and any violations should be flagged or automatically remediated. ### 13. Encrypt, Encrypt, Encrypt! Encrypt data in transit and at rest. Note that the metadata is often not encrypted, so organizations shouldn’t store sensitive information in cloud storage metadata. ### 14. Enable Versioning and Logging [...] ### 9. Implement Inbound and Outbound Firewall Rules Set definitive rules about what, how much and who can send, receive and access inbound and outbound data. Many organizations are reluctant to set up outbound rules, but because attackers will attempt to steal (exfiltrate) sensitive data and intellectual property, it’s important to ensure outbound rules are explicitly defined. [...] Use real-time monitoring that leverages machine learning and analytics to identify suspicious activity and compromised account credentials. ## Secure the Compute Layer Organizations should take steps to secure the compute layer to ensure availability of systems and data, and to keep bad actors from using their compute power to spread malware across the business and internet. Use these next five tips to fortify compute layer security. ### 6. Harden the Operating System

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cloud.google.com article

What is cloud data security? Benefits and solutions

https://cloud.google.com/learn/what-is-cloud-data-security

Organizations need to be able to protect sensitive data whenever and wherever it goes. Cloud service providers help you tackle secure cloud data transfer, storage, and sharing by implementing several layers of advanced encryption for securing cloud data, both in transit and at rest. ### Lower costs [...] Robust cloud data security programs are designed to meet compliance obligations, including knowing where data is stored, who can access it, how it’s processed, and how it’s protected. Cloud data loss prevention (DLP) can help you easily discover, classify, and de-identify sensitive data to reduce the risk of violations. ### Data encryption [...] Cloud computing delivers many benefits, allowing you to access data from any device via an internet connection to reduce the chance of data loss during outages or incidents and improve scalability and agility. At the same time, many organizations remain hesitant to migrate sensitive data to the cloud as they struggle to understand their security options and meet regulatory demands.

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