Cloud Security for Modern Infrastructure
Cloud Security Risks Companies Ignore (And Shouldn't)
The most commonly ignored cloud security risks include overly permissive IAM policies, unmonitored API endpoints, shadow cloud accounts, disabled logging, unencrypted data stores, misconfigured network access, and lack of egress monitoring — each of which has contributed to major breaches.
Andreas Johansson · Chief Executive Officer
Senior IT management leader with 25 years of experience in Cloud, Security, and Datacenter infrastructure.
The Gap Between Cloud Adoption and Cloud Security
Organizations move to the cloud for speed, scalability, and cost efficiency. Security often lags behind. Development teams spin up infrastructure in minutes; security review of that infrastructure may take weeks — or never happen at all.
This gap creates risks that compound over time. Each unreviewed deployment, each developer-granted permission, each test environment that becomes permanent adds to an invisible risk surface. Here are the risks most companies ignore — until a breach forces attention.
Risk 1: Overly Permissive IAM Policies
The most dangerous cloud security risk is excessive permissions. It's also the most common. Microsoft's 2023 State of Cloud Permissions Risks report found that identities use only 1% of the permissions granted to them.
- Why it happens: Developers request broad permissions to avoid deployment blockers. Policies created during prototyping ("let's just use admin for now") persist into production. Service accounts accumulate permissions over time as new features are added but old permissions are never removed.
- The impact: An attacker who compromises any identity inherits all its permissions. Overly permissive IAM transforms a minor compromise (a leaked access key, a phished developer) into a full-scale breach.
- How to fix it: Implement least-privilege policies using cloud-native tools (AWS IAM Access Analyzer, Azure AD Privileged Identity Management). Regularly audit unused permissions. Use time-bound access for elevated privileges.
Risk 2: Shadow Cloud Accounts and Resources
Shadow IT isn't new, but cloud makes it trivially easy. Developers create personal AWS accounts, spin up test environments on corporate credit cards, or use SaaS tools without IT knowledge. These shadow resources operate outside security monitoring, patching, and access control.
- Why it happens: Official processes for provisioning cloud resources are too slow. Developers find it easier to use personal accounts than navigate internal bureaucracy.
- How to fix it: Implement cloud landing zones with self-service provisioning that satisfies both developer velocity and security requirements. Use cloud management platforms to discover shadow accounts. Make it easier to do the right thing than the wrong thing.
Risk 3: Unmonitored API Endpoints
Modern cloud applications expose dozens or hundreds of API endpoints. Each endpoint is a potential attack surface — and many are deployed without authentication, rate limiting, or monitoring.
- Why it happens: APIs proliferate as microservices architectures grow. Internal APIs are assumed to be "safe" because they're not publicly documented — despite being publicly reachable. API documentation and security review don't keep pace with development.
- How to fix it: Maintain an API inventory. Enforce authentication and authorization on every endpoint. Implement rate limiting and input validation. Monitor API traffic for anomalies.
Risk 4: Disabled or Incomplete Logging
Cloud logging services (CloudTrail, Azure Monitor, GCP Audit Logs) are sometimes disabled to reduce costs or left in default configurations that don't capture all relevant events.
- Why it happens: Log storage costs money. Engineering teams disable logging in development environments, and those configurations propagate to production. Default logging levels miss critical events like data access and IAM changes.
- How to fix it: Enable comprehensive logging across all accounts and regions. Centralize logs in a security-focused platform. Set retention policies that satisfy compliance requirements. The cost of logging is negligible compared to the cost of a breach you can't investigate.
Risk 5: Unencrypted Data Stores
Data at rest in cloud databases, object storage, and file shares is sometimes stored unencrypted — despite every cloud provider offering encryption at rest with minimal performance impact.
- Why it happens: Encryption is optional by default on many services. Developers creating databases or storage don't always enable it. Legacy migrations carry forward unencrypted configurations.
- How to fix it: Enforce encryption-at-rest policies using SCPs (AWS), Azure Policy, or GCP Organization Policies. Scan for unencrypted resources and remediate. Use customer-managed keys for sensitive workloads.
Risk 6: Network Misconfigurations
Security groups, NACLs, and firewall rules that allow unrestricted access are alarmingly common. Management ports (SSH on 22, RDP on 3389) exposed to 0.0.0.0/0 appear in breach reports regularly.
- Why it happens: Developers open ports for troubleshooting and forget to close them. Default security group rules are overly permissive. Network configurations are complex and poorly documented.
- How to fix it: Implement infrastructure-as-code with security group templates. Use automated scanning to detect overly permissive rules. Block management port access from the internet — use VPNs or bastion hosts instead.
Risk 7: No Egress Monitoring
Most organizations monitor what comes into their cloud environments but ignore what goes out. Data exfiltration — the actual goal of most attacks — happens through outbound traffic that no one watches.
- Why it happens: Egress monitoring is harder to implement than ingress filtering. Cloud native firewalls and security groups focus primarily on inbound rules. Outbound traffic volumes make manual monitoring impractical.
- How to fix it: Implement egress filtering using VPC flow logs and cloud-native firewalls. Monitor for unusual outbound data volumes, connections to unfamiliar destinations, and DNS tunneling. Set alerts for data transfers exceeding baseline thresholds.
How SeqOps fits
SeqOps connects to AWS, Azure and Google Cloud with read-only access, checks your configuration against security benchmarks, and shows every misconfiguration in one prioritised view with guidance on how to fix it.