Cloud Security Risks to Avoid

Explore top LinkedIn content from expert professionals.

Summary

Cloud security risks to avoid are the common pitfalls and vulnerabilities that organizations face when storing data and running applications on cloud platforms. These risks often stem from mismanaged access controls, poor governance, and overlooked blind spots across multiple cloud environments, making it crucial to understand and address them early.

  • Review access permissions: Regularly audit and adjust who can access cloud resources, ensuring no one has more privileges than necessary and removing outdated accounts.
  • Secure sensitive data: Always encrypt data both at rest and in transit, store secrets and keys in secure vaults, and rotate credentials frequently to prevent accidental exposure or theft.
  • Monitor and unify cloud activity: Centralize logging and real-time monitoring across all cloud platforms to spot unusual behavior quickly and connect identity, policies, and operations for a clearer security picture.
Summarized by AI based on LinkedIn member posts
  • View profile for Deepak Agrawal

    Founder & CEO @ Infra360 | DevOps, FinOps & CloudOps Partner for FinTech, SaaS & Enterprises

    20,547 followers

    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

  • View profile for Abiodun Adeosun

    Helping African Businesses & Fintechs Stay Secure & Compliant | ISO 27001 Lead Implementer | NDPR | 7+ Years Protecting What Matters | MSECB Auditor | PECB Certified Lead Auditor & Trainer | COBIT, TOGAF, PCI DSS

    10,428 followers

    Most cloud breaches don’t happen because the cloud is insecure. They happen because governance stops at “we use AWS/Azure.” After reviewing and implementing Cloud Security Policies across regulated environments, one thing is clear: Cloud security failure is rarely technical. It’s almost always a governance failure. A mature Cloud Security Policy is not a document for auditors; it is an operating model. Here’s what strong organisations get right 1. They don’t “move to cloud”, they define accountability Clear ownership across the Shared Responsibility Model Board → CISO → Cloud Security Architect → DevOps → Vendors No ambiguity. No finger-pointing during incidents. 2. They design security before deployment, not after exposure • Secure-by-design architectures • Zero Trust baked into IAM, networks, APIs • Infrastructure-as-Code as a control, not convenience Misconfigurations are treated as risks, not mistakes. 3. Identity becomes the new perimeter • Mandatory MFA • Just-in-Time privileged access • Service accounts treated as high-risk identities • Quarterly access reviews that actually remove access This is how breaches are prevented quietly. 4. Data protection is enforced, not assumed • Encryption at rest and in transit by default • Customer-managed keys for regulated workloads • DLP monitoring for insider and third-party risks • Region-locked data to meet GDPR, DPDP & banking rules 5. They plan for cloud exit on Day One Vendor lock-in, contract termination, data purge, key revocation, and documented before onboarding. This is where most organisations fail regulatory scrutiny. 6. Logging is treated as evidence, not noise Centralized logs Immutable audit trails Real-time detection across IAM, APIs, networks, and workloads Because if you can’t prove control, you don’t have control. This is what regulators, auditors, and boards now expect Not “we use cloud security tools,” but “we govern cloud risk end-to-end.” If you’re in: • Banking • Fintech • Government • Highly regulated enterprises …and your cloud security is still tool-driven instead of policy-led, you’re exposed even if nothing has happened yet. I work at the intersection of cloud, governance, ISO 27001, SOC 2, and regulatory compliance, helping organisations move from cloud usage to cloud control. If this resonates, we’re likely solving the same problems. Find attached a cloud security policy from MoS #CloudSecurity #CloudGovernance #ISO27001 #CyberRisk #Compliance #ITGovernance #RegTech #ZeroTrust

  • View profile for Dinesh Anbumani

    Solutions Architect | Engineering Manager | AWS Cloud | Microservices | APIs | React, NextJs | Node.js, Python | ELK | Docker & Kubernetes | SQL & NoSQL

    6,304 followers

    → 𝐌𝐮𝐥𝐭𝐢-𝐂𝐥𝐨𝐮𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 - 𝐀𝐯𝐨𝐢𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐇𝐢𝐝𝐝𝐞𝐧 𝐁𝐥𝐢𝐧𝐝 𝐒𝐩𝐨𝐭𝐬 Most organizations assume “cloud security” means protecting each environment individually. Reality? True risk lives in the gaps between clouds. 𝐇𝐞𝐫𝐞’𝐬 𝐡𝐨𝐰 𝐭𝐨 𝐜𝐥𝐨𝐬𝐞 𝐭𝐡𝐨𝐬𝐞 𝐠𝐚𝐩𝐬 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜𝐚𝐥𝐥𝐲: • 𝐈𝐝𝐞𝐧𝐭𝐢𝐭𝐲 𝐔𝐧𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 ✓ Centralized IdP (Okta/Azure AD) across all clouds ✓ SAML/OIDC federation for seamless access ✓ Single RBAC per cloud, JIT access, auto-deprovisioning ✓ Cross-cloud entitlement analytics to spot over-privileged accounts • 𝐔𝐧𝐢𝐟𝐢𝐞𝐝 𝐕𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 ✓ CSPM platforms (Wiz/Orca/Prisma) for holistic posture ✓ Single asset inventory with normalized scoring ✓ Cross-cloud alert correlation and real-time drift detection • 𝐂𝐞𝐧𝐭𝐫𝐚𝐥𝐢𝐳𝐞𝐝 𝐋𝐨𝐠𝐠𝐢𝐧𝐠 ✓ All logs centralized in SIEM ✓ Normalized format for cross-cloud correlation ✓ Detect attacks across AWS, Azure, GCP simultaneously ✓ Consistent retention and compliance policies • 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 ✓ East-west traffic monitoring, inter-cloud inspection ✓ Zero Trust Network Access and VPN visibility ✓ Unified DNS threat management • 𝐏𝐨𝐥𝐢𝐜𝐲 𝐚𝐬 𝐂𝐨𝐝𝐞 ✓ Terraform/Pulumi IaC with OPA policies pre-deployment ✓ GitOps-driven policy distribution ✓ Automated compliance validation, consistent baselines • 𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐭𝐞𝐜𝐭𝐢𝐨𝐧 ✓ Unified DLP and CASB for SaaS ✓ Centralized key management ✓ Cross-cloud backup and encryption standards • 𝐓𝐡𝐫𝐞𝐚𝐭 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 & 𝐂𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧 ✓ XDR for cloud-agnostic threats ✓ Runtime container security, Kubernetes posture ✓ Continuous monitoring, automated remediation, CIS/NIST alignment • 𝐂𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐁𝐥𝐢𝐧𝐝 𝐒𝐩𝐨𝐭𝐬 ✓ Orphaned test accounts and abandoned CI/CD pipelines ✓ Unmonitored inter-cloud transfers ✓ Developer sandboxes and SaaS sprawl outside perimeter ✓ Third-party API integrations → Multi-cloud security is not about tools-it’s about connecting identity, visibility, policies, and operations. Missing a gap is expensive. Follow Dinesh Anbumani for more insights

  • View profile for Yasin AĞIRBAŞ

    Information Technology Specialist | Tech Enthusiast | Cyber Security

    19,685 followers

    ☁️ 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

  • View profile for Inga Stirbyte

    Cybersecurity & Risk Leader | 15+ Years Driving Security, Compliance, Risk Management & Board-Level Strategy | From Findings to Fixes, I Deliver Security That Performs

    29,128 followers

    Your biggest cloud breach might already be sitting inside a public GitHub repo. And the scary part? Many companies do not even realize it until attackers start using the keys. One exposed cloud key can lead to: • silent persistence inside infrastructure • unauthorized AWS access • Azure resource abuse • stolen customer data • crypto mining attacks • privilege escalation This is not hypothetical anymore. Attackers actively scan GitHub every minute looking for: • API keys • leaked tokens • cloud credentials • hardcoded secrets • exposed config files Sometimes within minutes of a commit. I have seen teams spend millions on cloud security… Then lose control because: • alerts were ignored • IAM permissions were too broad • secrets were hardcoded in code • repos became public accidentally • nobody implemented pre-commit scanning The problem is not only exposure. It is how fast attackers move after discovery. A single leaked key can trigger: • resource abuse • data exfiltration • lateral movement • massive cloud bills • persistent backdoors • compliance violations And unfortunately, many organizations still treat secret management like a developer convenience problem instead of a security risk. The companies reducing this risk usually focus on a few disciplines consistently: • automated secret scanning • GitHub push protection • secure vault storage • least privilege IAM • pre-commit validation • continuous monitoring • credential rotation policies Because prevention is much cheaper than incident response. One bad commit should never become a business crisis. Have you ever seen a simple security mistake turn into a massive operational problem?

  • View profile for Nathaniel Alagbe CISA CISM CISSP CRISC CCAK CFE AAIA FCA

    IT & Cybersecurity Audit Leader | AI Audit | AI Governance | Cloud Audit | Cyber & Tech Risk | Cyber & Tech Controls | AI Risk & Controls | Transforming Risk into Boardroom Intelligence

    24,274 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 Sunnykumar K.

    Lead IAM Engineer | Identity Risk, Privileged Access & Zero Trust | Securing Human & Machine Access

    5,673 followers

    Most IAM risks don’t come from hackers. They come from decisions made months ago. And forgotten. That’s where exposure begins. 1. Overprivileged Access More access than needed = more damage when compromised. → Violates least privilege → Enables lateral movement → Turns one identity into full-system access One identity. Full blast radius. 2. Standing Credentials The most dangerous access is the one nobody is watching. → API tokens → SSH keys → Long-lived cloud credentials They sit quietly. Until someone finds them. And uses them. 3. Non-Human Identities (NHIs) Service accounts don’t complain. They also don’t get audited enough. → Hardcoded in scripts → Hidden in configs → No clear ownership This creates shadow access. And zero accountability. 4. Manual Access Reviews Spreadsheets don’t scale. → Delayed offboarding → Missed revocations → Forgotten credentials By the time you review access, risk has already moved. 5. Inconsistent Policies Different teams. Different rules. → Gaps in enforcement → Weak authentication flows → Broken Zero Trust Security is only as strong as its weakest policy. The pattern is clear: IAM risk is not about who has access. It’s about: → How much → For how long → And how visible it is What mature teams do differently: → Enforce least privilege by default → Eliminate standing access → Track machine identities like human ones → Automate access lifecycle → Standardize policies across environments If your IAM is inconsistent, your security is predictable. And predictable systems are easy to break. Take a closer look, before attackers do. #IAM #CyberSecurity #CloudSecurity #ZeroTrust #DevSecOps #IdentitySecurity #InfoSec

  • View profile for Benjamin Knauss

    CTO, CIO, CISO - Technology Executive, speaker, author, futurist

    7,056 followers

    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.

  • View profile for Adrian S.

    Cybersecurity Leader | Building Security Programs That Deliver Results in Months, Not Years | CISO & Board Advisor

    4,906 followers

    I audited 3 years of cloud configurations as CISO (Chief Information Security Officer). 94% of our critical incidents traced back to one type of mistake. Not unauthorized tools. Not external attackers finding zero-days. Not misconfigured firewalls. IAM (Identity and Access Management) permissions granted during fast-growth sprints — and never revisited. A developer needed prod access to hit a deadline. Granted it. Deadline passed. Access stayed. Nobody came back to revoke it. Another service account spun up with admin rights "temporarily" during a migration. Migration completed 18 months ago. Admin rights: still active. Owner: no longer at the company. We found 340 over-privileged identities in a single audit. 12 had active keys with no last-used date — meaning we had no idea if they were being used by a legitimate process, an automated script we had forgotten about, or something else entirely. Your biggest cloud security threat isn't hackers finding sophisticated vulnerabilities. It's your own engineers moving fast — doing exactly what you hired them to do. The permissions weren't malicious. They were the residue of growth. And they were everywhere. The 4-step audit that found every one of them — and the governance change that stopped new ones from accumulating — is in today's article. 📄 4-Step Cloud Configuration Audit + IAM Governance Framework: https://lnkd.in/gqYmkPgM 📧 Thursday 5:30 PM CST (Central Standard Time): The Fast CISO Issue #11 — Finance sent me an $80,000 surprise cloud bill. Buried inside it was a security incident. The 5-Signal Cloud Security Cost Audit is in this week's newsletter. Subscribe: https://lnkd.in/gKv_jyAy #CISO #CloudSecurity #IAM #SecurityLeadership #CyberSecurity

  • View profile for Yew Jin Kang

    Banking Chief Technology Officer | IDG/Foundry CIO100 | Solution Architect | Cloud | Artificial Intelligence Enthusiast | Comics Collector | Toy Photography

    14,672 followers

    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.

Explore categories