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Cloud security best practices

Cloud Security Best Practices
Cloud security

Cloud Security Best Practices For AWS, Azure, And GCP

A recent 2022 report by Check Point revealed that a notable percentage of businesses, about 27%, witnessed a security incident in their public cloud infrastructure during the previous year. Nearly a quarter of the incidents, i.e., 23%, resulted from security misconfigurations within the cloud infrastructure. To secure their cloud infrastructure, businesses must implement some of the best practices in cloud security. These steps cannot prevent every attack, but they play an important role in enhancing defense, protecting data, and setting solid cloud security best practices in place. List of 10 Cloud Security Best Practices By adopting the following best practices for any cloud security architecture, organizations can cut down the risk of security breaches and considerably improve their overall security posture. 1. Identity and Access Management (IAM) The initial cloud security best practice uses IAM tools and processes for controlling access to different services and resources in the cloud and forms the basis of cloud security best practices. It is similar to user and group management on a local computer or server. In the same way you would limit access to local resources, IAM is utilized to regulate access to cloud data security and services. IAM Core Principle: Least Privilege and Zero Trust The Principle of Least Privilege (PoLP) and Zero Trust provide the users with limited rights to accomplish their tasks. It guarantees that the users will not have extra access, limiting potential cloud security threats. 2. Multi-Factor Authentication (MFA) Let’s see how the MFA functions in the real world to be among the best practices of cloud security: 3. Data Security  Protеcting sеnsitivе data during transit and at rеst mеans еnsuring confidеntiality, intеgrity, and availability whеn data is storеd on thе cloud.  Data at Rest Data in rest implies it is stored on file systems, databases, or storage media. The following is how different mechanisms are employed to safeguard such data against breaches and unauthorized access. 4. Network Security Various cloud infrastructure security and solutions can be implemented to make the network and data secure as far as integrity and usability are concerned. Network security is important in protecting data and applications in the cloud. Each of the big cloud security providers – AWS, Azure, and GCP – has its collection of tools and practices to protect data as it travels within and between their networks. Here are some cloud security best practices to take advantage of the same: 5. Cloud Resource Update Keeping the cloud infrastructure up to date is a must for security and performance. AWS, Azure, and GCP all have their own cloud security best practices and cloud security tools for assisting businesses with patching and updating their cloud resources. Latest Penetration Testing Report Download 6. Logging and Monitoring System logs (application, server, and access logs) give valuable insights into the health, performance, and security of your cloud resources. Some information on how you can make use of the same as one of the cloud security best practices: AWS Amazon CloudWatch Logs: AWS’s main logging product, CloudWatch Logs, enables the storage and access of log files from multiple services such as EC2 instances, Lambda functions, etc. Although some services, such as AWS CloudFront, are unable to stream directly into CloudWatch, there are workarounds available, such as sending data to an S3 bucket and then using Lambda to copy data over to CloudWatch. Logs Insights: Logs Insights features a query language for logs that allows complex queries to be written once and used as required. CloudWatch also provides “metric filters” for predefined terms and patterns to evaluate log data over time. Azure Azure Monitor Logs: Azure’s logging facility enables the use of the Kusto Query Language (KQL) to query log data. It also provides features such as Log Analytics, Log Alerts, and custom chart visualization. Azure Monitor Metrics: The service enables near real-time usage through logging lightweight numerical values to a time-series database. GCP Cloud Logging: GCP’s logging service of first choice offers visualization of common log data, custom log-based metrics, forwarding of logs to other GCP services, storage for log buckets, and a Logs Explorer for querying logs using Google’s Logging Query Language. Cloud Monitoring: It is GCP’s basic monitoring service, which can export Cloud Armor data for further analysis. 7. Backup and Disaster Recovery Data safety is important. Here’s how leading cloud providers provide strong solutions for disaster recovery and backup. AWS It uses CloudEndure for cloud disaster recovery, providing: Continuous replication of data. Affordable staging. Automated machine conversion to AWS compatibility. Point-in-time recovery. Azure Azure Site Recovery, powered by InMage technology, offers: On-demand VM creation at the time of recovery. Non-disruptive testing. Customized recovery objectives and plans. GCP Rather than a packaged DRaaS, GCP provides: Detailed DR planning documentation. Services such as Cloud Monitoring and Cloud Deployment Manager. Partnered solutions based on GCP infrastructure for DRaaS. Note: All the providers highlight the need to periodically test and update disaster recovery plans to maintain data safety. 8. Security Audits To have a strong security stance, regular security audits and assessments of your cloud environment are crucial. Large cloud vendors provide built-in tools and suggest certain cloud application security best practices to help organizations achieve their security and compliance requirements: AWS Amazon Inspector is the security assessment tool of AWS. It scans applications for vulnerabilities and best practices deviations. It has support for compliance standards such as ISO 27001 and PCI DSS. It makes recommendations to enhance security and compliance. Azure Azure Security Centre supports ongoing security evaluation, with actionable security suggestions. It provides enhanced threat protection for all Azure services. It is compliant with standards such as ISO 27001 and PCI DSS. GCP Trust and Security Center provides insights into the security posture of GCP resources. It provides best-practice-based recommendations. It is compliant with leading compliance standards. Qualysec Qualysec’s Pentest runs 9000+ tests that include OWASP Top 10, CVEs, and SANS 25 checking. It checks pages behind the login form and scans for single-page apps and progressive web apps. It is ISO 27001,

Security Risks in Cloud Computing
Cloud security

Security Risks in Cloud Computing

Cloud computing has transformed the storage, management, and processing of business data. Scalable, flexible, and cost-effective, cloud technology is a part of digital transformation. As the use of clouds grows, so does the threat. Organizations must be conscious of these threats so that efficient security controls are put in place and sensitive data is not placed at risk for cyber attacks. This article discusses in detail the most important security risks in cloud computing and how to best counter them. Data Loss and Data Breaches The largest security threat to cloud computing is data loss and data breaches. When businesses place massive sets of sensitive data in the cloud, they expose themselves as an easy target for cyber attackers. Data exposure can be caused by unauthorized access through poor authentication practices, security misconfigurations, or insider threats. To counter this threat, organizations must have robust encryption controls, multi-factor authentication, and ongoing security monitoring to identify and prevent suspicious access. Unsecured APIs and Interfaces Web interfaces and APIs are provided by cloud providers to customers for interacting with cloud services. The interfaces themselves, unless secured appropriately, pose a security threat. Inadequate authentication, improper authorization, and poor monitoring of API calls can put cloud environments at risk from cyber threats. To prevent this threat, organizations must institute strict access controls, use secure API gateways, and regularly conduct API security audits as a measure to prohibit unauthorized data breaches and leaks. As cloud infrastructure becomes increasingly more complex, other security threats evolve. The rest of the article will discuss other dangerous threats that must be worked on by organizations as an initiative towards a secure cloud environment. “Learn more in our detailed guide to API Security Testing!” Top Security Risks in Cloud Computing and How to Mitigate Them   1. Unauthorized Data Breaches and Access Among the most robust security weaknesses of cloud computing are data breaches. Because cloud platforms store vast amounts of sensitive data, they become a desirable target for attackers. Insufficient stringent authentication procedures, poor permission control, or insider attack may be a cause of the breach. Data breaches not only leak sensitive information but also entail monetary and reputation loss. Precautionary security measures need to be adopted by organizations so that illegal access is prevented. Weak passwords, out-of-date security controls, and unpatched vulnerabilities are the usual tools cybercriminals use to gain access to sensitive systems. Social engineering attacks can also be utilized by attackers to cause employees to send login credentials. Mitigation Strategies: “Related Content: Read our guide to Cloud Penetration Testing.   Latest Penetration Testing Report Download 2. Insider Threats The Insider threats are by employees, contractors, or partners who possess access to sensitive data and misuse their privileges by mistake or intentionally. Insider threats can result in data leaks, unauthorized modifications, or service disruptions. Insider attacks can either be malicious or by accident. Malicious insiders have the potential to disclose confidential information, shut down systems, or assist with external cyberattacks. Accidental attacks happen when staff members unwittingly compromise security by poor practices in cybersecurity, such as revealing passwords or becoming victims of a phishing email. Organizations should realize that insiders could pose risks and implement strict controls. Mitigation Strategies Apply the principle of least privilege (PoLP) to restrict access privileges. Track user behavior using sophisticated logging and anomaly detection. Provide ongoing security awareness training to employees. Implement strict data access controls to ensure unauthorized modification cannot occur. Use behavioral analytics to detect malicious activity. 3. Misconfigurations and Insecure APIs Clouds tend to utilize APIs to automate and integrate. Unsecured APIs or misconfigured settings leave cloud assets open to cyber criminals and result in unauthorized access, data breaches, or service disruption. Misconfigured cloud storage, open databases, or insecure API endpoints are the vulnerabilities through which the attacks are initiated. Security misconfigurations usually result from human mistakes, inexperience, or not applying security patches. Unsecured APIs specifically tend to give hackers a direct point of entry for controlling cloud resources or draining sensitive information. Mitigation Measures: Scan cloud configurations regularly to ensure that they are compliant with security best practices. Use API gateways and secure authentication. Scan API traffic for malicious traffic. Use role-based access control (RBAC) for APIs. Use automated security compliance scanning to identify misconfigurations in advance. 4. DDoS Attacks (Distributed Denial of Service) These attacks can expose cloud servers to unsolicited traffic, leading to downtime and unavailability of services. DDoS attacks can make business operations difficult and lead to economic loss. Botnets are utilized by perpetrators to overwhelm cloud infrastructure with large volumes of unwanted requests, consuming all the resources and making legal access unfeasible. New DDoS attacks are now much more intelligent with smart evasion mechanisms, which enable them to evade traditional security controls. Organizations need to spend on real-time DDoS mitigation tools to be capable of achieving business resiliency. Mitigation Techniques: Utilize cloud-based protection technologies against DDoS attacks. Apply traffic filtering and rate limitation. Utilize Content Delivery Networks (CDNs) to direct the traffic optimally. Set up anomaly detection software to recognize potential DDoS attacks. Maintain an incident response policy to thwart attacks promptly. 5. Data Loss and Lack of Adequate Backups Data loss within the cloud is possible due to accidental erasure, cyber attacks, or equipment failure. Lacking reliable backup systems, organizations risk permanent loss of key information. Cloud data may be lost through hardware failures, software bugs, insider mistakes, or ransomware attacks. Organizations with zero redundancy strategies with data kept on the cloud alone would have a tough time recovering from total failures. A well-rounded data backup and recovery strategy would be needed to reduce downtime and business disruption. Mitigation Strategies: Implement automated cloud backup and disaster recovery tools. Utilize versioning control and replication technologies to protect data. Test backups at periodic intervals to verify data integrity. Encrypt backup information to protect against unauthorized access. Backup at multiple sites to reduce the risk of data center failure. 6. Compliance and Legal Matters Some industries are governed by strict data security and privacy mandates, including

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Pabitra Kumar Sahoo

Pabitra Kumar Sahoo

COO & Cybersecurity Expert

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Pabitra Kumar Sahoo

Pabitra Kumar Sahoo

COO & Cybersecurity Expert