Tips for Improving Cloud Security with AWS

I recently completed a client's AWS infrastructure audit. The issues that uncovered are surprisingly common. Here's what I found: 𝟭. 𝗨𝗻𝗲𝗻𝗰𝗿𝘆𝗽𝘁𝗲𝗱 𝗘𝗕𝗦 𝗩𝗼𝗹𝘂𝗺𝗲𝘀   Data at rest was not encrypted, posing a significant security risk. 𝟮. 𝗖𝗹𝗼𝘂𝗱𝗧𝗿𝗮𝗶𝗹 𝗗𝗶𝘀𝗮𝗯𝗹𝗲𝗱   The account lacked crucial audit logs, limiting visibility into account activities. 𝟯. 𝗣𝘂𝗯𝗹𝗶𝗰 𝗦𝟯 𝗕𝘂𝗰𝗸𝗲𝘁𝘀   Several S3 buckets were publicly accessible, potentially exposing sensitive data. 𝟰. 𝗦𝗦𝗛 (𝗣𝗼𝗿𝘁 𝟮𝟮) 𝗢𝗽𝗲𝗻 𝘁𝗼 𝘁𝗵𝗲 𝗪𝗼𝗿𝗹𝗱   Unrestricted SSH access increased the attack surface unnecessarily. 𝟱. 𝗩𝗣𝗖 𝗙𝗹𝗼𝘄 𝗟𝗼𝗴𝘀 𝗗𝗶𝘀𝗮𝗯𝗹𝗲𝗱   Network traffic insights were missing, hampering security analysis capabilities. 𝟲. 𝗗𝗲𝗳𝗮𝘂𝗹𝘁 𝗩𝗣𝗖 𝗦𝘁𝗶𝗹𝗹 𝗶𝗻 𝗨𝘀𝗲   The default VPC was being used, often lacking proper segmentation and security controls. These findings aren't unusual. Many organizations, from startups to enterprises, overlook these aspects of AWS security and best practices. That's why doing regular AWS account audits are crucial. They help identify potential vulnerabilities before they become problems. 𝗞𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 𝗮𝗻𝗱 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: 1. Encrypt data at rest: Enable default EBS encryption at the account level. 2. Implement comprehensive logging: Enable CloudTrail across all regions and set up alerts. 3. Restrict public access: Use S3 Block Public Access at the account level and audit existing buckets. 4. Use modern, secure access methods: Implement AWS Systems Manager Session Manager instead of open SSH. 5. Enable network monitoring: Turn on VPC Flow Logs and set up automated analysis. 6. Design your network architecture intentionally: Create custom VPCs with proper security controls. By addressing these common issues, you significantly enhance your AWS security posture. It's not about perfection, but continuous improvement. When's the last time you audited your AWS environment?

Security isn't a feature. It's an architectural mindset. 🛡️ I’ve been spending a lot of time recently deep-diving into cloud architecture patterns, specifically asking myself: "How do we actually secure an application in the real world?" I realized that just listing services isn't enough. Security is "Job Zero", it requires a strategic approach, not just a checklist. Through my research, I came across the "Defense in Depth" strategy. The concept is fascinating: securing the system across three independent layers so that if one fails, the others stand firm. Here are the 3 key layers I’ve been studying: 1️⃣ Identity is the New Perimeter In the cloud, the network perimeter is porous, so Identity becomes the true firewall. The Golden Rule: Strict "Least Privilege." The Strategy: I learned that while Humans use Users, Machines must use Roles. To achieve "Zero Long-Term Credentials" in the compute layer, best practice dictates that services like EC2 and Lambda should always assume IAM Roles. This completely eliminates the risk of hard-coded access keys . 2️⃣ Network: Minimize the Blast Radius It’s not just about deploying; it’s about active compartmentalization. VPC Design: I discovered the importance of strict isolation. Applications and Databases should reside in Private Subnets with zero direct internet access . The "Firewall Sandwich": One powerful pattern I found is layering stateful Security Groups at the instance level with stateless Network ACLs at the subnet boundary. This offers granular control over every packet entering the environment . 3️⃣ Data: Encryption Everywhere The principle is straightforward: "Protect data in transit and at rest." At Rest: We must treat the internal network as untrusted. Leveraging AWS KMS to manage keys for S3, EBS, and RDS ensures data is unreadable without specific decryption permissions . In Transit: I learned that TLS 1.2+ is the non-negotiable baseline, and using ACM for automated certificate rotation is key to preventing outages . Finally, I realized that security is theoretical without auditability. That’s why CloudTrail is essential, it creates an immutable audit trail of every action, transforming forensics from guesswork into a defined process.

Title: "Navigating the Cloud Safely: AWS Security Best Practices" Adopting AWS security best practices is essential to fortify your cloud infrastructure against potential threats and vulnerabilities. In this article, we'll explore key security considerations and recommendations for a secure AWS environment. 1. Identity and Access Management (IAM): Implement the principle of least privilege by providing users and services with the minimum permissions necessary for their tasks. Regularly review and audit IAM policies to ensure they align with business needs. Enforce multi-factor authentication (MFA) for enhanced user authentication. 2. AWS Key Management Service (KMS): Utilize AWS KMS to manage and control access to your data encryption keys. Rotate encryption keys regularly to enhance security. Monitor and log key usage to detect any suspicious activities. 3. Network Security: Leverage Virtual Private Cloud (VPC) to isolate resources and control network traffic. Implement network access control lists (ACLs) and security groups to restrict incoming and outgoing traffic. Use AWS WAF (Web Application Firewall) to protect web applications from common web exploits. 4. Data Encryption: Encrypt data at rest using AWS services like Amazon S3 for object storage or Amazon RDS for databases. Enable encryption in transit by using protocols like SSL/TLS for communication. Regularly update and patch systems to protect against known vulnerabilities. 5. Logging and Monitoring: Enable AWS CloudTrail to log API calls for your AWS account. Analyze these logs to track changes and detect unauthorized activities. Use AWS CloudWatch to monitor system performance, set up alarms, and gain insights into your AWS resources. Consider integrating AWS GuardDuty for intelligent threat detection. 6. Incident Response and Recovery: Develop an incident response plan outlining steps to take in the event of a security incident. Regularly test your incident response plan through simulations to ensure effectiveness. Establish backups and recovery mechanisms to minimize downtime in case of data loss. 7. AWS Security Hub: Centralize security findings and automate compliance checks with AWS Security Hub. Integrate Security Hub with other AWS services to streamline security management. Leverage security standards like AWS Well-Architected Framework for comprehensive assessments. 8. Regular Audits and Assessments: Conduct regular security audits to identify vulnerabilities and assess the effectiveness of security controls. Use AWS Inspector for automated security assessments of applications. 9. Compliance and Governance: Stay informed about regulatory requirements and ensure your AWS environment complies with relevant standards. Implement AWS Config Rules to automatically evaluate whether your AWS resources comply with your security policies.

𝗭𝗲𝗿𝗼 𝗧𝗿𝘂𝘀𝘁 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗼𝗻 𝗔𝗪𝗦: 𝗟𝗮𝘆𝗲𝗿𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗙𝗶𝗿𝘀𝘁 𝗟𝗶𝗻𝗲𝘀 𝗼𝗳 𝗗𝗲𝗳𝗲𝗻𝘀𝗲 Cyber threats are more intelligent than ever, and legacy security models that rely on perimeter defenses are obsolete. 𝗭𝗲𝗿𝗼 𝗧𝗿𝘂𝘀𝘁, 𝗮 "𝗻𝗲𝘃𝗲𝗿 𝘁𝗿𝘂𝘀𝘁, 𝗮𝗹𝘄𝗮𝘆𝘀 𝘃𝗲𝗿𝗶𝗳𝘆" 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵, 𝗶𝘀 𝗻𝗼𝘄 𝘁𝗵𝗲 𝗴𝗼𝗹𝗱 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱.  Here's how to implement it effectively on AWS, step by step: 1️⃣ 𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝘆: 𝗬𝗼𝘂𝗿 𝗙𝗶𝗿𝘀𝘁 𝗟𝗶𝗻𝗲 𝗼𝗳 𝗗𝗲𝗳𝗲𝗻𝘀𝗲 In Zero Trust, identity replaces the traditional perimeter. Start here: • 𝗘𝗻𝗳𝗼𝗿𝗰𝗲 𝗟𝗲𝗮𝘀𝘁 𝗣𝗿𝗶𝘃𝗶𝗹𝗲𝗴𝗲: Restrict IAM roles/policies to only necessary permissions. • 𝗠𝗮𝗻𝗱𝗮𝘁𝗲 𝗠𝘂𝗹𝘁𝗶-𝗙𝗮𝗰𝘁𝗼𝗿 𝗔𝘂𝘁𝗵𝗲𝗻𝘁𝗶𝗰𝗮𝘁𝗶𝗼𝗻 (𝗠𝗙𝗔): Require MFA for all users, especially root/admin accounts. • 𝗔𝘂𝗱𝗶𝘁 𝗥𝗲𝗹𝗲𝗻𝘁𝗹𝗲𝘀𝘀𝗹𝘆: Use AWS CloudTrail to log every API call and detect unauthorized access. 𝗪𝗵𝘆 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: 81% of breaches involve stolen credentials. Locking down identity closes the most significant attack vector. 2️⃣ 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗠𝗶𝗰𝗿𝗼-𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: 𝗟𝗼𝗰𝗸 𝗗𝗼𝘄𝗻 𝗧𝗿𝗮𝗳𝗳𝗶𝗰 Isolate workloads and minimize lateral movement: • 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗚𝗿𝗼𝘂𝗽𝘀 & 𝗡𝗔𝗖𝗟𝘀: Apply granular rules (e.g., "Only allow port 443 from this service"). • 𝗔𝗪𝗦 𝗣𝗿𝗶𝘃𝗮𝘁𝗲𝗟𝗶𝗻𝗸: Access services like S3 or DynamoDB without exposing data to the public internet. • 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗣𝗼𝗹𝗶𝗰𝗶𝗲𝘀 (𝗦𝗖𝗣𝘀): Prevent risky actions (e.g., disabling security controls) across your AWS Organization. 𝗣𝗿𝗼 𝗧𝗶𝗽: Pair segmentation with VPC Flow Logs to monitor traffic patterns and spot anomalies. 3️⃣ 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴: 𝗖𝗮𝘁𝗰𝗵 𝗧𝗵𝗿𝗲𝗮𝘁𝘀 𝗶𝗻 𝗥𝗲𝗮𝗹 𝗧𝗶𝗺𝗲 Visibility is non-negotiable: • 𝗔𝗪𝗦 𝗚𝘂𝗮𝗿𝗱𝗗𝘂𝘁𝘆: Machine learning detects compromised credentials, crypto-mining, and suspicious API activity. • 𝗔𝗪𝗦 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗛𝘂𝗯: Centralize findings from GuardDuty, Config, and third-party tools (e.g., CrowdStrike). • 𝗔𝗪𝗦 𝗖𝗼𝗻𝗳𝗶𝗴: Automatically assess resource compliance (e.g., "Is S3 encryption enabled?"). 𝗥𝗲𝗮𝗰𝘁 𝗙𝗮𝘀𝘁𝗲𝗿: Use Amazon EventBridge to trigger Lambda functions for auto-remediation (e.g., revoking access if GuardDuty flags an IP). ⬆️ 𝗣𝗮𝗿𝘁 𝟮 𝗱𝗿𝗼𝗽𝘀 𝘁𝗼𝗺𝗼𝗿𝗿𝗼𝘄: We'll dive into encryption, scaling with automation, and real-world Zero Trust workflows. 𝗬𝗼𝘂𝗿 𝘁𝘂𝗿𝗻: Have you enabled GuardDuty or MFA yet? #AWS #awscommunity #AWSSecurity #ZeroTrust #CloudSecurity #DevSecOps #TechLeadership

Day 5 of 30 and honestly, if there is one AWS topic I wish someone had explained to me properly from the start, it is IAM. Most people treat it like a checkbox. Set it up, move on, never look at it again. That is exactly where the problems begin. IAM controls who can do what inside your entire AWS account. Real people, applications, AWS services talking to each other, everything goes through IAM first. If you do not understand it deeply, you are building on a foundation you cannot see. Users are people or apps with their own credentials. Groups let you manage users together so they all share the same permissions. Roles are different because they hand out temporary credentials instead of permanent ones. That difference matters more than most beginners realise. When your EC2 needs to read from S3, a lot of people create a user, grab the access keys and paste them into the code. I have seen this in production. I have seen it on public GitHub repos. When those keys get exposed, and they do, your whole account is at risk. Use an IAM Role instead. You can revoke it in seconds if something goes wrong. Policies are JSON documents that define what is allowed and what is not. An explicit Deny always wins. No matter how many Allow statements you have, one Deny ends the conversation every time. Enable MFA on your root account the day you create it. Give people and services only the permissions they actually need and nothing more. That principle alone would prevent most of the cloud breaches you read about. The biggest mistake I keep seeing is handing out AdministratorAccess to everything just to move faster. That shortcut is how accounts get compromised and data ends up in the wrong hands. IAM is foundational. Learn it properly and everything else in AWS starts to make more sense. Where are you in your cloud journey? Drop a comment, I always write back. Day 6 tomorrow, we are going into EC2. #30DaysOfAWSAndDevOps #AWS #IAM #CloudComputing #DevOps #CloudSecurity #AWSCertified #TechEducation

⚠️ If you're running workloads in AWS, this one’s worth your attention. Bleeping Computer just covered how a group called Crimson Collective is targeting AWS environments for data exfiltration: 🚨 Highlights from the report: Claimed theft of 570GB of data from 28,000+ GitLab repos. Included infrastructure diagrams, auth tokens, DB credentials Attack path: 1. Steal or abuse long-lived AWS credentials 2. Create IAM users, roles, or login profiles 3. Escalate privileges by attaching policies (e.g. AdministratorAccess) 4. Spin up EC2 or snapshot RDS/EBS for data extraction 5. Offload data via S3 or open SGs 6. Modify RDS passwords or use SES for extortion ** No exploits needed, just native AWS behavior and over-permissive IAM. Key IAM permissions that enable this: - iam:CreateRole, AttachRolePolicy, PutRolePolicy - UpdateAssumeRolePolicy, AddRoleToInstanceProfile - CreatePolicy, CreatePolicyVersion Most teams try to police this with detections, reviews, or least privilege guidelines. It’s reactive, and gaps are inevitable. But there’s a better path: default deny + just-in-time access. Restrict sensitive IAM actions unless explicitly approved, and eliminate standing privilege. This attack is a reminder: you don’t need a vulnerability to get breached, you just need bad IAM hygiene. 👀 If you haven’t reviewed who can pass roles, create policies, or snapshot volumes lately… now’s a good time. Ping me if you want to walk through architecture options. Always happy to help. Link to article with more details: https://lnkd.in/eQkaZXcS #AWS #IAM #CloudSecurity #Breach #TheyJustLogin

It took me 5 years and preventing 25+ incidents to learn these 27 security engineering tips. You can learn them in the next 60 seconds: 1. Enforce MFA everywhere, especially for CI/CD, admin panels, and cloud consoles. 2. Use short-lived access tokens with automated rotation to limit blast radius. 3. Implement SAST in PR pipelines to catch vulnerabilities before merging. 4. Add DAST scans on staging environments to detect runtime vulnerabilities. 5. Use secret scanners to prevent credential leaks in repos (TruffleHog, Gitleaks). 6. Enforce least-privilege IAM roles with time-bound elevation workflows. 7. Use container image signing (Sigstore/Cosign) to verify supply chain integrity. 8. Pin dependencies and enable automated patching for third-party libraries. 9. Enforce network segmentation; don't let every service talk to everything. 10. Use Infrastructure-as-Code scanners (Checkov, tfsec) before provisioning infra. 11. Enable audit logging across cloud accounts and stream to a central SIEM. 12. Harden Kubernetes by disabling privileged pods and enforcing PodSecurity. 13. Use eBPF-based runtime monitoring to detect suspicious container behavior. 14. Add WAF in front of public APIs to block OWASP Top 10 patterns. 15. Use API gateways with strict schema validation to prevent injection attacks. 16. Enforce HTTPS everywhere with HSTS and TLS 1.2+. 17. Run vulnerability scans on container registries before deployment. 18. Add anomaly detection on login patterns to catch credential-stuffing early. 19. Use blue-green or canary deployment to contain bad releases safely. 20. Implement rate limiting + IP throttling on all public endpoints. 21. Encrypt data at rest with KMS and enforce key rotation policies. 22. Use service-to-service authentication with mTLS inside clusters. 23. Build threat models for every new large architectural change. 24. Set up incident playbooks and run quarterly tabletop exercises. 25. Use message queues for asynchronous tasks to prevent API overload. 26. Enforce zero-trust: verify identity, device, and context on every request. 27. Monitor everything, logs, metrics, traces, and alert on deviation, not noise. P.S: Follow saed ‎for more & subscribe to the newsletter: https://lnkd.in/eD7hgbnk I am now on Instagram: instagram.com/saedctl say hello

🚀 Think Like a Cloud Engineer: Security Layers in AWS 🔒 Ogres and Onions aren't the only things that have layers, your AWS security should have multiple layers implemented to protect your resources. As AWS cloud engineers, we know security isn’t a single service—it’s a shared responsibility between AWS and its customers. Here’s how we secure every layer using AWS tools and best practices: 1️⃣ Perimeter Defense AWS Web Application Firewall (WAF), AWS Shield for DDoS protection, NACLS and Amazon VPC security groups form the first line of defense. 2️⃣ Application Security Use AWS CodePipeline for secure CI/CD workflows, and continuously scan for vulnerabilities with Amazon Inspector. 3️⃣ Data Security Encrypt everything—S3 buckets, EBS volumes, and RDS databases—using AWS KMS. 4️⃣ Identity and Access Management (IAM) IAM roles, policies, and MFA are non-negotiable. Ensuring we always implement the Security Rule of Least Privilege 5️⃣ Monitoring and Incident Response AWS CloudWatch and CloudTrail provide monitoring and logging, while AWS Config ensures compliance with your security standards. 6️⃣ Compliance and Governance AWS Artifact simplifies access to compliance reports, while AWS Control Tower sets up guardrails across multi-account environments. Here’s the truth: security in AWS isn’t just about locking things down or adding unnecessary gates; it’s about leveraging the cloud to innovate securely. #AWS #CloudSecurity #Cybersecurity #AWSWellArchitected #SharedResponsibilityModel #ThinkLikeACloudEngineer #DataProtection

2024 State of Cloud Security Study Key Insights A great morning read from Datadog ‘analyzed security posture data from a sample of thousands of organizations that use AWS, Azure, or Google Cloud.’ ↗️ Long-lived credentials -> remain a security risk, with 60% of AWS IAM users having access keys older than one year. Unused credentials are widespread, increasing attack surfaces across all cloud providers (AWS, Azure, GCP). Recommendation -> Shift to temporary, time-bound credentials & centralized identity management solutions. ↗️ Public access blocks on cloud storage increasing AWS S3 & Azure Blob Storage are increasingly using public access blocks, with S3 seeing 79% of buckets proactively secured. Recommendation -> Enable account-level public access blocks to minimize risks of accidental data exposure. ↗️ IMDSv2 adoption growing AWS EC2 instances enforcing IMDSv2 have grown from 25% to 47%, yet many instances remain vulnerable. Recommendation -> Enforce IMDSv2 across all EC2 instances & use regional settings for secure defaults. ↗️ Managed Kubernetes clusters Many clusters (almost 50% on AWS) expose APIs publicly, with insecure default configurations risking attacks. Recommendation -> Use private networks, enforce audit logs, & limit permissions on Kubernetes worker nodes. ↗️ 3rd-Party integrations pose supply chain risk 10% of third-party IAM roles are overprivileged, creating risks of AWS account takeover. Recommendation ->Limit permissions, enforce External IDs, & remove unused third-party roles. ↗️ Most cloud incidents caused by compromised cloud credentials Cloud incidents are often triggered by compromised credentials, particularly in AWS, Azure, & Entra ID environments. Patterns of Attack + Compromised identities + Escalation via GetFederationToken + Service enumeration + Reselling access + Persistence techniques Microsoft 365 -> Credential stuffing, bypassing MFA, & malicious OAuth apps for email exfiltration. Google Cloud -> Attackers leverage VPNs & proxies for crypto mining and follow common attack patterns. Recommendations -> Implement strong identity controls & monitor API changes that attackers may exploit. ↗️ Many cloud workloads are excessively privileged or run in risky configurations Overprivileged cloud workloads expose organizations to significant risks, including full account compromise & data breaches. Recommendation ->Enforce least privilege principles on all workloads. Use non-default service accounts with tailored permissions in Google Cloud. Avoid running production workloads in AWS Organization management accounts. The study shows improved adoption of secure cloud configurations -> better awareness + enforcement of secure defaults. However, risky credentials & common misconfigurations in cloud infrastructure remain significant entry points for attackers. P.s. use the info to strengthen your org cloud security posture. Full study report in the comment ⬇️ #cloudsecurity #cloudsec #cybersecurity

🚀 Boost Your AWS Security with Least-Privilege Policies When working with AWS, granting just the right permissions is critical. Too often, roles and users end up with overly broad permissions , creating unnecessary risks. 💡 Did you know you can use IAM Access Analyzer to generate least-privilege policies automatically? Here’s how it works: 1️⃣ Capture activity → IAM Access Analyzer uses CloudTrail logs to review which services and actions are actually being used. 2️⃣ Generate policies → It then creates a fine-grained, custom IAM policy with only the required permissions. 3️⃣ Test & deploy → You can validate the generated policy in a non-production environment before rolling it out to production. ✨ Example: Instead of attaching AmazonS3FullAccess to a role, IAM Access Analyzer might generate a policy that only allows: { "Action": [ "s3:GetObject", "s3:PutObject" ], "Resource": "arn:aws:s3:::my-bucket/*", "Effect": "Allow" } This ensures workloads only have the exact access needed, nothing more. 🔐 The result is Stronger security posture, reduced attack surface, and compliance with least-privilege best practices. #leastprivilege #learnwithswetha #aws #awscommunitybuilder #iamaccessanalyser