Cloud Security Protocols

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Summary

Cloud-security-protocols are the rules and technical measures designed to keep data, applications, and systems safe as organizations store and manage information using cloud-based services. These protocols help protect against risks like misconfigurations, unauthorized access, and data exposure by setting guidelines for who can access what, how resources are monitored, and how data is handled both inside and outside the cloud.

  • Review access controls: Regularly check who has access to each cloud resource and update permissions so only the right people can see or use sensitive information.
  • Monitor cloud activity: Set up alerts and audit logs so unusual activity gets noticed quickly, making it easier to spot and respond to potential threats.
  • Automate security checks: Use cloud-native tools and scanners to spot misconfigurations or vulnerabilities before they cause problems, reducing the risk of human error.
Summarized by AI based on LinkedIn member posts
  • View profile for Nathaniel Alagbe CISA CISM CISSP CRISC CCAK AAIA CFE CCEP MBA MSc

    IT Audit Leader | AI & Cloud Security Auditor | Technology Risk & Control Specialist | Mentor | Helping Organizations Build Trust Through Assurance

    13,866 followers

    Dear IT Auditor, Cloud Security Misconfigurations: An IT Auditor’s Perspective Cloud adoption has unlocked agility, scalability, and cost savings, but it has also introduced one of the most pervasive risks: misconfiguration. Many cloud breaches aren’t caused by hackers exploiting sophisticated vulnerabilities. Instead, they stem from something as simple as a misconfigured storage bucket, overly permissive access policy, or unmonitored API. For IT auditors, the role is not to become cloud engineers but to understand where the risks lie and how to evaluate them. 📌 Inventory of Cloud Assets: Begin by verifying whether the organization maintains a complete and up-to-date inventory of cloud services. Shadow IT often leads to unsanctioned services bypassing security reviews. An incomplete inventory is an immediate red flag. 📌 Access Management Risks: Cloud misconfigurations often involve “open to the world” settings. Auditors should test IAM (Identity and Access Management) policies for least privilege, role segregation, and MFA enforcement. Review logs of administrative activity to detect privilege abuse. 📌 Storage and Data Exposure: Misconfigured storage buckets, databases, or data lakes can leave sensitive data publicly accessible. Audit evidence includes configuration exports, encryption settings, and access controls. Look specifically for defaults that were never tightened. 📌 Network Security: Cloud environments are highly configurable. Confirm that firewalls, security groups, and routing tables are aligned with the design. Misconfigured network rules can unintentionally allow external traffic to sensitive workloads. 📌 Logging and Monitoring: Even the best controls can fail if no one’s watching. Auditors should validate that cloud-native logging (e.g., AWS CloudTrail, Azure Monitor, GCP Audit Logs) is enabled, retained, and reviewed. Misconfigurations often persist because alerts are ignored. 📌 Automation and Continuous Monitoring: At scale, manual reviews won’t cut it. Strong organizations use automated scanners and CSPM (Cloud Security Posture Management) tools. Auditors should request evidence from these tools to verify that misconfigurations are being detected and remediated. 📌 Vendor Shared Responsibility: A common misconception is assuming the cloud provider handles all security. Auditors must assess whether the organization understands and documents its responsibilities vs. those of the vendor. Misconfigurations often occur in customers' areas of shared responsibility. Cloud misconfigurations aren’t just technical issues; they’re governance gaps. Effective audits in this space provide assurance that organizations aren’t just “lifting and shifting” risks to the cloud but managing them with maturity. #CloudSecurity #ITAudit #CyberSecurityAudit #CloudAudit #RiskManagement #InternalAudit #ITControls #ITRisk #GRC #CloudMisconfiguration #ITGovernance #CyberVerge #CyberYard

  • View profile for Satyender Sharma

    Senior Vice President & Head IT - Digital Transformation | 💡 Leading with Technology ✨ Growing with Learning

    39,853 followers

    Are you prepared for the storm that may be brewing in your cloud environment?  With the right tools and strategies, you can secure your assets and fortify your defenses. Here’s your Advanced Cloud Security Audit Checklist using open-source tools:  ➡️ Cloud Resource Inventory Management   - Use CloudMapper to discover and map all cloud assets.   - Ensure accurate asset tracking for security visibility.  ➡️ IAM Configuration Analysis   - Audit IAM policies with PMapper to identify risks.   - Enforce least privilege access to minimize the attack surface.  ➡️ Data Encryption Verification   - Validate encryption protocols with OpenSSL & AWS KMS.   - Ensure data encryption at rest and in transit.  ➡️ Network Security & Vulnerability Assessment   - Scan security groups & NACLs using Scout2 or Prowler.   - Detect unintended access points and misconfigurations.  ➡️ API Security & Vulnerability Scanning   - Test API authentication with OWASP ZAP or APIsec.   - Identify API weaknesses and prevent unauthorized access.  ➡️ Cloud Penetration Testing & Vulnerability Scanning   - Continuously scan for vulnerabilities using OpenVAS or Nessus.   - Detect and remediate security flaws in cloud infrastructure.  ➡️ IaC Security Auditing   - Review Terraform & CloudFormation with Checkov.   - Detect misconfigurations before deployment.  ➡️ Logging & Cloud Activity Monitoring   - Aggregate security logs using ELK Stack or Wazuh.   - Perform anomaly detection to spot suspicious activity.  ➡️ Cloud Compliance & Regulatory Monitoring   - Automate security compliance checks with Cloud Custodian.   - Ensure adherence to GDPR, HIPAA, and SOC 2 standards.  ➡️ Audit Trail & Incident Response   - Monitor cloud logs using AWS CloudTrail or Google Audit Logs.   - Track administrative activity and detect threats early.  ➡️ MFA Enforcement & Audit   - Verify MFA settings across critical accounts.   - Enforce multi-factor authentication using MFA Checker.  ➡️ Cloud Backup & Disaster Recovery   - Perform integrity checks using Duplicity or Restic.   - Validate recovery point objectives (RPO) and test restores.  Follow Satyender Sharma for more insights !

  • View profile for Nagaswetha Mudunuri

    ISO 27001:2002 LA | AWS Community Builder | Building Secure digital environments as a Cloud Security Lead | Experienced in Microsoft 365 & Azure Security architecture | GRC

    9,272 followers

    🎀 Building Secure Cloud Environments with IAM and SCP Lets understand IAM and SCP better through a scenario-based approach! 💥 𝐒𝐜𝐞𝐧𝐚𝐫𝐢𝐨: You run a small online store with an AWS account. You have different employees with varying needs: ✨ Marketing team: Needs access to analyze customer data stored in an S3 bucket. ✨ Sales team: Needs access to create and manage customer orders in a database. ✨ Finance team: Needs access to view billing information and manage AWS costs. 💥𝐈𝐀𝐌: Create separate users or groups for each team. Define roles with the specific permissions needed for each team: ✨ Marketing: Read-only access to the S3 bucket containing customer data. ✨ Sales: Read/write access to the customer order database. ✨ Finance: Read-only access to billing information and AWS cost management tools. Attach these roles to the respective groups/users. 💥𝐒𝐂𝐏: Create an SCP for the account that: ✨ Allows access to S3, the database service you use, and billing/cost management tools. ✨ Restricts access to other potentially risky services like EC2 (virtual machines) or Lambda (serverless functions). ✨ Additionally, within the allowed services, you can further restrict specific actions: 🎊 𝐅𝐨𝐫 𝐞𝐱𝐚𝐦𝐩𝐥𝐞, the SCP could allow reading data from the S3 bucket but disallow deleting it. 💥 𝐖𝐢𝐭𝐡 𝐭𝐡𝐢𝐬 𝐬𝐞𝐭𝐮𝐩: ❄ Each team only has access to what they need, thanks to IAM roles and policies. ❄ The SCP acts as a safety net, ensuring no one uses unauthorized services or performs risky actions, even with their IAM permissions. ❄ This example shows how IAM allows granular control for different users, while SCP ensures everyone adheres to your overall security guidelines. ❄ You can tailor IAM and SCP configurations to your specific needs and organizational structure for optimal security and access management in your cloud environment. ✨Follow me Nagaswetha Mudunuri on LinkedIn for more information on Cloud Security, DevSecops and Cybersecurity✨ #learnwithswetha #awscloud #learning #career #aws #scp #iam

  • View profile for Taimur Ijlal
    Taimur Ijlal Taimur Ijlal is an Influencer

    ☁️ Senior Security Consultant @ AWS | Agentic AI Security | Cybersecurity Career Coach | Best-Selling Author | 60K Students @ Udemy | YouTube @ Cloud Security Guy

    23,545 followers

    Is your cloud security improving or standing still ? Here are some key indicators of maturity 👇 1 - Security Automation ↳ Your security playbooks are increasingly automated, with workflows integrated natively within the cloud, allowing for faster response times and fewer manual interventions. 2 - Context-Based Access Control ↳ Your IAM policies are evolving to understand the context—beyond simple yes/no decisions—taking into account user behavior, device types, and locations for smarter access control. 3 - Repeatable Processes ↳ You’ve standardized your security controls using Infrastructure as Code (IaC), enabling security to scale seamlessly with your cloud deployments and ensuring consistent security across environments. 4 - Proactive Threat Detection ↳ You're leveraging machine learning and behavioral analytics to detect anomalies before they become full-blown incidents, transitioning from reactive to proactive threat management. 5 - Centralized Visibility ↳ All your accounts are consolidated into a single pane of glass, giving your team the ability to monitor, manage, and respond to security threats across multiple environments with ease. 6 - Continuous Vulnerability Management ↳ You are leveraging automated vulnerability scanning tools to continuously identify and patch potential security gaps, ensuring your infrastructure remains resilient to new threats. 7 - Security by Design ↳ Security is embedded in your cloud architecture from the start, with your development teams adhering to secure coding practices and your infrastructure following security-first design principles. 8 - Incident Response Playbooks ↳ Your incident response strategies are predefined and continually updated, with automated responses that can contain and mitigate threats without requiring human intervention. Check out our AWS Security Maturity Model for a step-by-step guide to developing a robust cloud security posture. Good luck on your Cloud security journey !

  • View profile for Vishakha Sadhwani

    Sr. Solutions Architect at Nvidia | Ex-Google, AWS | 100k+ Linkedin | EB1-A Recipient | Follow to explore your career path in Cloud | DevOps | *Opinions.. my own*

    120,563 followers

    If you’re aiming to grow in Cloud Security, here’s how to approach it step by step.. In any field, the right order of learning matters. Cloud Security is no different. Check this out: Step 1: Identity Security → Start with IAM, RBAC, MFA, and SSO. Identity is the first line of defense in the cloud. If access isn’t right, nothing else matters. Step 2: Infrastructure Security → Next, protect your network, APIs, and endpoints. Think WAFs, firewalls, DDoS protection, secrets management — the foundation of secure workloads. Step 3: Data Security → Once infra is safe, secure the data itself. Encryption (at rest/in transit), tokenization, masking, and DLP — these prevent leaks from turning into disasters. Step 4: IaC & Code Security → Shift security left. Scan Terraform/CloudFormation for misconfigs, catch secrets in code, manage dependencies. Stop issues before they hit production. Step 5: Container & Kubernetes Security → Modern apps = containers. Secure them with runtime threat detection, image scanning, RBAC. Add service mesh (mTLS, Istio, Linkerd) for secure pod-to-pod comms. Step 6: AI Model Security → As AI adoption grows, so do risks. Guardrails, bias detection, API threat protection, and secure model deployment are the new essentials. Step 7: Business Security → Finally, scale security across the org. CSPM, SIEM, threat monitoring, compliance, and audits ensure governance at scale. ⸻ Security is already vast — adding cloud makes it even more complex. That’s why structure matters. This Thursday, I’ll be sharing a detailed newsletter with resources to start → tech5ense.com • • • I frequently share insights on DevOps and Cloud Engineering — right here and through my newsletter as well, hit follow (Vishakha) if you found them useful:)

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