We recently analyzed 100+ real-world cloud security incidents (expecting sophisticated attacks, zero-days, or advanced exploits.) But here’s the #1 𝐦𝐢𝐬𝐭𝐚𝐤𝐞 companies keep making (and it’s something much simpler). Companies think their biggest threat is external attackers. But in reality, their biggest risk is already inside their cloud. The #1 mistake? ☠️ 𝐈𝐀𝐌 𝐦𝐢𝐬𝐜𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧𝐬 ☠️ Too many permissions. Too little oversight. 🚩 This is the silent killer of cloud security. And it’s happening in almost every company. How does this happen? → Developers get “just in case” permissions. Nobody wants blockers, so IAM policies get overly generous. Devs get admin access just to “make things easier.” → Permissions accumulate over time. That contractor from 3 years ago? Still has high-privilege access to production. → CI/CD pipelines are over-permissioned. A single exposed token can escalate to full cloud account takeover. → Multi-cloud mess. AWS, Azure, GCP everyone’s running multi-cloud, but no one’s tracking cross-account IAM relationships. → Over-reliance on CSPM tools. They flag risks, but they don’t fix the underlying issue: IAM is an operational mess. The worst part? 💀 This isn’t an “if” problem. It’s a “when” problem. 𝐇𝐨𝐰 𝐝𝐨 𝐲𝐨𝐮 𝐟𝐢𝐱 𝐭𝐡𝐢𝐬? ✅ Least privilege, actually enforced. No human or service should have more access than they need. Ever. ✅ No static IAM keys. Use short-lived, just-in-time credentials instead. ✅ Automate IAM drift detection. If permissions change unexpectedly, alert and rollback—immediately. ✅ IAM audits aren’t optional. You should be reviewing and revoking excess permissions at least quarterly. I’ve worked with companies that thought their cloud security was tight, until we ran an IAM audit and found hundreds of forgotten, high-risk access points. 𝐂𝐥𝐨𝐮𝐝 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐢𝐬𝐧’𝐭 𝐚𝐛𝐨𝐮𝐭 𝐟𝐢𝐫𝐞𝐰𝐚𝐥𝐥𝐬 𝐚𝐧𝐲𝐦𝐨𝐫𝐞. 𝐈𝐝𝐞𝐧𝐭𝐢𝐭𝐲 𝐢𝐬 𝐭𝐡𝐞 𝐧𝐞𝐰 𝐩𝐞𝐫𝐢𝐦𝐞𝐭𝐞𝐫. If you’re treating IAM as a one-time setup instead of a continuous security process, you’re already compromised. When was the last time your team did a full IAM audit? Deepak Agrawal
Cloud Security Risks to Avoid
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Summary
Cloud security risks to avoid are common mistakes and oversights that can make sensitive data vulnerable when using cloud services. These include misconfigured access controls, weak monitoring, and not aligning security measures with business needs—issues that are often easier to fix than most realize.
- Review permissions regularly: Check and update who has access to your cloud resources, making sure only those who truly need it have permission.
- Prioritize monitoring: Set up real-time alerts and logging so you can quickly spot suspicious activity or misconfigurations before they cause bigger problems.
- Understand shared responsibility: Make sure your team knows what security tasks are yours and which are managed by your cloud provider, so nothing falls through the cracks.
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☁️ Cloud Security Checklist — The “Small Things” That Prevent Big Breaches I just reviewed a Cloud Security Checklist for Small Businesses, and it’s a great reminder that cloud security is rarely about one “big” control it’s about consistent hygiene across identity, encryption, monitoring, network, backups, app security, and governance. Here are the highest-impact controls from the checklist (the ones I see missed most often): 🔐 1) Identity: protect the keys to the kingdom • Enforce MFA for all accounts, especially admin/root • Use IAM roles (avoid day-to-day root usage) • Apply Least Privilege, quarterly access reviews, disable inactive accounts 🔒 2) Encryption: default to “secure by design” • Encrypt data at rest and in transit (TLS) • Use customer-managed keys + rotation policies (KMS / Key Vault) • Store secrets in Secrets Manager / Key Vault (never hardcode) 👀 3) Monitoring: if you can’t see it, you can’t secure it • Centralize logs (CloudTrail / Log Analytics) + real-time alerts • SIEM integration + anomaly detection for access patterns • Monitor config drift (AWS Config / Azure Policy) and cost anomalies 🌐 4) Network: reduce exposure aggressively • Lock down security groups / firewall rules (only necessary ports) • Use WAF + DDoS protection, enable flow logs • Prefer private endpoints (avoid public IPs for sensitive services) 🧯 5) Backup & Recovery: ransomware reality • Automated backups + retention policies + versioning • Regularly test disaster recovery (not just “configured backups”) • Keep periodic offline copies for resilience 🧩 6) App Security + Governance: the maturity layer • Secure APIs with strong auth/authz; do code reviews; consider runtime protection • Maintain a cloud asset inventory + enforce cloud security policies 🎯 My takeaway: Cloud security becomes manageable when you treat it as a checklist discipline not a “project.” Do the basics consistently and your risk drops fast. 📥 Want the PDF checklist? Comment CLOUDCHECK or DM me I’ll share it. #CloudSecurity #CyberSecurity #AWS #Azure #IAM #MFA #KMS #KeyVault #SIEM #Logging #WAF #DDoS #Backup #DisasterRecovery #ZeroTrust #DevSecOps #SecurityEngineering #InfoSec
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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
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After advising public company boards and leading cloud security at scale, I’ve seen the same governance gaps sink even well-funded programs. Here’s what to avoid: 1. Treating "Compliance" as Security 🚫 Mistake: Checking boxes for SOC 2/ISO 27001 but ignoring business-context risk (e.g., "Our AWS is compliant!" while shadow IT explodes). ✅ Fix: Map controls to real-world threats (e.g., "Encryption matters because a breach here = $XM in SEC fines + stock dip"). 2. Delegating Cloud Security to DevOps Alone 🚫 Mistake: Assuming engineers will "shift left" without guardrails (e.g., 100+ AWS accounts with no centralized IAM governance). ✅ Fix: Pair automation with human oversight 3. Ignoring the Board’s Language 🚫 Mistake: Drowning directors in CVSS scores instead of business impact (e.g., "Log4j = 9.8 severity" → "Log4j = 30% revenue risk if our e-commerce API goes down"). ✅ Fix: Use a 3-layer report: Technical finding (vulnerability) Business risk (reputation, revenue, regulatory) Strategic ask ("We need $Y to mitigate Z"). The Bottom Line: Cloud security isn’t about tools—it’s about aligning guardrails with business survival.
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This EY incident underscores a truth we often overlook: the most common cloud vulnerability isn't a zero-day exploit; it's a configuration oversight. A single misstep in cloud storage permissions turned a database backup into a public-facing risk. These files often hold the "keys to the kingdom" ie. credentials, API keys, and tokens that can lead to a much wider breach. How do we protect ourselves against these costly mistakes? Suggestions 1. Continuous Monitoring: Implement a CSPM for 24/7 configuration scanning. CSPM is Cloud Security Posture Management -> a type of automated security tool that continuously monitors cloud environments for misconfigurations, vulnerabilities, and compliance violations. It provides visibility, threat detection, and remediation workflows across multi-cloud and hybrid cloud setups, including SaaS, PaaS, and IaaS services 2. Least Privilege Access: Default to private. Grant access sparingly. 3. Data Encryption: For data at rest and in transit. 4. Automated Alerts: The moment something becomes public, you should know. 5. Regular Audits: Regularly review access controls and rotate secrets.
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What Drives Your Cloud Security Strategy? It’s Not Your Tool Stack. I keep seeing the same pattern: organizations spend more each year on cloud security tools, yet preventable incidents continue to climb. The uncomfortable reality is that cloud security rarely fails because we lack technology. It fails because we lack consistent execution. Consider the “modern” multicloud enterprise that adopts AWS, Azure, and Google Cloud, then adds AI-powered monitoring, automated compliance reporting, and a stack of dashboards that look impressive in board meetings. And then a breach happens anyway—triggered by something basic, like a misconfigured storage bucket that exposes sensitive data. That’s not a tooling gap. That’s a people, process, and governance gap. Misconfiguration remains a top driver of cloud risk because the cloud rewards speed, and speed without guardrails creates exposure. Identity has become the real perimeter, so compromised credentials and excessive privileges are more dangerous than many network threats. Shadow IT is still thriving, not because teams love breaking rules, but because governance often slows delivery to a point where groups route around controls. And automation doesn’t eliminate risk; it can scale mistakes and amplify noise when teams lack the skill and clarity to interpret findings and respond decisively. If you want a cloud security strategy that actually works, start with fundamentals: invest continuously in hands-on training that matches how fast cloud platforms change, establish clear accountability for configuration standards and exceptions, build cross-functional governance that enables the business to move quickly with guardrails, bring in outside experts for real knowledge transfer rather than checkbox audits, and treat every incident as fuel for continuous improvement instead of a one-off remediation. If your strategy is “buy another product,” you’re probably treating symptoms. If your strategy is “build competence, enforce guardrails, and create accountability,” you’re addressing the root problem. #CloudSecurity #Cybersecurity #CloudComputing #DevSecOps #IAM #SecurityGovernance #RiskManagement #CloudStrategy #MultiCloud #ZeroTrust What drives your cloud security strategy? https://lnkd.in/evYwKJuA
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From a simple SMS to exposing patient's invoices - Cloud Security in hospitals. During a visit to a hospital. After my appointment, I received a physical invoice, and an e-bill was sent to my phone via a system-generated SMS. The SMS included a link that, when clicked, downloaded my bill directly to my device. I started to investigate how it works and was shocked by the results! The link in the SMS was a long URL, seemingly auto-generated by the SMS provider. It redirected to an AWS S3 bucket link managed by the hospital. However, the file name was a simple, consecutive 6-digit number followed by ".pdf"—no signature token, no authentication required. This meant that anyone with the knowledge could easily manipulate the URL to download other patients' bills, completely bypassing authentication. A serious breach of privacy! Key Takeaways: - Always use hashed filenames that aren’t predictable to prevent unauthorized access. - Implement file signatures and ensure they match only the files intended for specific users. - Secure your cloud policies and IAM settings to restrict access to sensitive data. #Cybersecurity #Infosec #DataPrivacy #cloudsecurity
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I recently led a couple of cloud-incident workshops, got a lot of great questions, had wonderful exchanges, frankly learned a lot myself, and wanted to share a few takeaways: • 𝗔𝘀𝘀𝘂𝗺𝗲 𝗯𝗿𝗲𝗮𝗰𝗵 - 𝘀𝗲𝗿𝗶𝗼𝘂𝘀𝗹𝘆: Treat "when, not if" as an operating principle and design for resilience. • 𝗖𝗹𝗮𝗿𝗶𝗳𝘆 𝘀𝗵𝗮𝗿𝗲𝗱 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆: Most gaps aren’t exotic zero-days - they’re governance gray zones, handoffs, and multi-cloud inconsistencies. • 𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝘆 𝗶𝘀 𝘁𝗵𝗲 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝗽𝗹𝗮𝗻𝗲: MFA everywhere (but not enough), push passwordless, least privilege by default, regular access reviews, strong secrets management, and a push to passwordless. • 𝗠𝗮𝗸𝗲 𝗳𝗼𝗿𝗲𝗻𝘀𝗶𝗰𝘀 𝗰𝗹𝗼𝘂𝗱-𝗿𝗲𝗮𝗱𝘆: Extend log retention, preserve/analyze on copies, verify what your CSP actually provides, and rehearse with legal and IR together. • 𝗗𝗲𝘁𝗲𝗰𝘁 𝗮𝗰𝗿𝗼𝘀𝘀 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿𝘀: Aggregate logs (AWS/Azure/GCP/Oracle), layer in behavior-based analytics/CDR, and keep a cloud-specific IR/DR runbook ready to execute. • 𝗕𝗼𝗻𝘂𝘀 𝗿𝗲𝗮𝗹𝗶𝘁𝘆 𝗰𝗵𝗲𝗰𝗸: host/VM escapes are rare - but possible. Don’t build your program around unicorns; prioritize immutable builds, hardening, and hygiene first. If you’d like my cloud IR readiness checklist or the TM approach I’ve been using, drop a comment, and we’ll share. Let’s raise the bar together. #CloudSecurity #IncidentResponse #ThreatModeling #CISO #DevSecOps #DigitalForensics #MDR EPAM Systems Eugene Dzihanau Chris Thatcher Adam Bishop Julie Hansberry, MBA Ken Gordon Sharon Nimirovski Aviv Srour
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🔭A vulnerability was recently discovered in HTTP requests within web applications managing AWS infrastructure. These vulnerabilities could potentially allow attackers to capture access keys and session tokens (which are often temporarily shared with external users, who can upload device logs to CloudWatch), enabling unauthorized access to backend IoT endpoints and CloudWatch instances. What is at risk: 📛Attackers can intercept these credentials in clear text, potentially uploading false logs or sending MQTT messages to IoT endpoints. This not only compromises data integrity but also increases operational costs through fraudulent activities. 📞The PoC showed a peer-to-peer screen sharing application built on AWS that HTTP made requests to specific endpoints that could expose sensitive credentials. 🗒Two unique endpoints were found: ‘/createsession’ and ‘/cloudwatchupload’. When a request was sent to the ‘/createsession’, the web application responded with access keys and session tokens corresponding to an AWS IOT endpoint. These keys were successfully used to send MQTT messages to the AWS IOT endpoint. 🛠Recommended Actions: Data should be routed through an internal server that validates and securely forwards it to AWS services. Implementing centralized auditing, logging, and rate limiting will further enhance security. This case serves as a stark reminder of the ongoing risks and design flaws prevalent in integrating web applications with backend cloud services. #CyberSecurity #AWS #InfoSec #CloudSecurity #DataProtection
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