What Is AWS Security?

The use of AWS (Amazon Web Services) is widespread among organizations and startups across various industries worldwide, as this environment is among the most secure cloud infrastructures for developing, migrating, and managing workloads and apps.

While traditional IT cybersecurity is about on-premise infrastructure controlled by the organization, AWS offers a dynamic, distributed, and scalable environment. Here, the shared responsibility model plays a key role.

At AWS, security is a joint effort between the platform and its customers. This means that Amazon is responsible for securing the cloud infrastructure, while the customer is responsible for their security in the cloud, including how they configure everything and what actions they take.

AWS provides management and security for the underlying infrastructure (including software, networking, hardware, and physical security), while users manage the guest operating system, app software, and firewall configurations. The responsibilities of AWS customers may vary depending on the specific AWS service they use and integrations into the IT environment. Customers should also take into account the law and compliance regulations, as this is part of their responsibility.

Overall, AWS is a well-architected cloud environment, and how secure you are depends directly on the security measures and best practices for AWS you implement.

The Hidden Cost of Insecure AWS Foundations

Security incidents can lead to the collapse of a startup and its product, so it is crucial to prioritize security from the start rather than put it off as an afterthought. 

Speaking of cybersecurity, it's worth noting that many leaks and breaches are not so much the result of hackers' sophisticated schemes, but the consequence of human error and security neglect. So, secure your AWS environment from the moment you start using it to avoid risks. 

Top Cloud Security Failure Causes Jappware



  • Costly Recovery. If you don't enable AWS CloudTrail, GuardDuty, or Security Hub in advance, your startup could face significant budget losses in the event of an incident (which varies depending on how quickly you detect the attack). An incident triggers a chain of tasks that includes investigation, credentials rotation, engaging security professionals, downtime, and sometimes a complete infrastructure rebuild. That's why it's crucial to set up logging and monitoring, alerts, lateral movement, and retention periods early.

  • High AWS Bills. One common problem is poor AWS identity and access management (IAM), where startups grant devs and services excessive privileges. This means that a single compromised access key can allow attackers to exploit your environment for a variety of purposes, from GPU instances to mining and accessing S3 buckets. The worst thing is they may go undetected. Common consequences include cloud budget overruns, downtime, stalled releases, and reputational damage.

  • Slow Growth. An AWS environment effectively facilitates scaling if it's well-configured. However, in the case of insecure foundations, difficulties with scaling and business growth become especially noticeable. A chaotic and insecure infrastructure leads to a number of headaches, from challenges working with partners concerned about security policies and questionnaires, as well as compliance, to deployment complications and risks associated with each integration. In this case, your AWS infrastructure is no longer an accelerator, but a drag.

  • Shadow Infrastructure & Control Issues. If a startup hasn't paid sufficient attention to governance, tagging policy, and account segmentation, this will significantly complicate things over time. From abandoned old RDS snapshots and EC2 instances that were intended to be temporary, to forgotten AWS resources, public endpoints, and overpermissive IAM roles, interacting with the infrastructure becomes truly complex. This means your devs will spend more time remembering how your AWS infrastructure operates rather than working on the product.

Core Best Practices for Securing Your AWS Environment

Security is a set of rules, tools, and techniques. Here are 5 security best practices in AWS that you can follow to reduce risks and avoid most potential security and compliance incidents. Use the AWS infrastructure properly to reap the benefits.

IAM and Access Control

Misconfigured IAM permissions are one of the most common causes of breaches. Identity and Access Management allows you to safely manage and control access to AWS resources, providing the ability to regulate which resources a user can access. This means configuring who is allowed and authenticated to use resources (permissions and sign-ins).

To reduce cybersecurity risks, there are best practices, including:

  • Principle of Least Privilege (the bare minimum permissions users need)

  • Assign roles, not users

  • Access control with federated SSO (simplifies gaining authorized access to multiple apps)

  • Mandatory Multi-Factor Authentication (MFA)

  • Enforce strong password policies

  • Conduct quarterly audits (IAM policies and credential rotations)

  • Automation of IAM policy reviews

  • Do not use the root account for daily tasks

Organizing roles, groups, and service roles, as well as segmenting responsibilities, is the best way to maintain a balance between security and efficiency when it comes to access management.

Case Study: Separating IAM roles for CI/CD, host support, and analytics, and restricting S3 access to roles, eliminated overpermissive resource access rights, and teams received only the permissions they needed to complete their tasks. This significantly reduced the risk of AWS accounts' compromise, S3 leaks, and lateral movement within the cloud environment, as a single stolen key no longer grants access to everything.

Ensuring Strong Data Protection and Encryption

Protecting data in transit and encrypting data at rest are not just security best practices, but mandatory. Weak/outdated encryption algorithms leave you vulnerable, as intercepted and successfully read data negates other measures that protect your systems and infrastructure.

The most popular method is using AWS Key Management Service (AWS KMS), which provides centralized management and control of keys. Encryption protects data, so it's critical to enable encryption for:

  • EBS (Elastic Block Store)

  • S3 buckets

  • RDS and other databases

  • Snapshots & backups

Additionally, it's worth using HTTPS/TLS between services, APIs, and apps. Also, be sure to prohibit public access to your S3 buckets.

Automated checks are another way to prevent sensitive data disclosure. With automated checks via Terraform, CI/CD, and AWS Config, startups can reduce the likelihood of security incidents and meet their compliance goals.

Case Study: A rule requiring all new roles and resources to have the "encrypted=true" tag, with mandatory validation via a Terraform plan, prevented incidents with unencrypted S3 buckets, EBS, or databases, thereby reducing the risk of data leaks and compliance violations. This is especially valuable when rapid deployment is critical.

Logging, Monitoring and Incident Detection

Detecting and identifying security breaches and incidents requires adequate logging and monitoring implementation. Best security practices include:

  • Configuring DNS logging (allows tracking domain requests)

  • VPC Flow Logs (allows monitoring network traffic)

  • AWS CloudTrail for all regions (allows recording API calls and account activity)

  • S3 access logs (allows viewing requests made to your S3 buckets)

These logs should then be integrated with AWS GuardDuty or your SIEM system to ensure automatic anomaly and threat detection.

Case Study: A Datadog alert that sent a notification if S3 bucket permissions were changed to public access allowed the security team to receive alerts about risky changes immediately, rather than waiting until the security review. Rapid threat detection directly minimizes the risk of data leaks and prolonged exposure of sensitive data.

Configuration Control and Secure CI/CD

Securing CI/CD and standardizing infrastructure through IaC (Infrastructure as Code), templates, and clear security rules are among the AWS security best practices, providing both protection and convenience.

Startups can use ready-made Terraform templates, baseline policies, and internal backlog rules, allowing teams to follow unified standards regarding configuration and security. The best method is to create the following checklist from the start:

  • Implement strong encryption

  • Configure and restrict IAM permissions

  • Disable public access

  • Set logging by default

  • Implement tagging standards

Also, AWS is perfect for a multi-account architecture, which allows you to separate environments and teams into different AWS accounts, ensuring security and flexibility. For example, startups can use different accounts for production, staging, dev, and shared services. This approach expands control and helps prevent large-scale breaches, since a hack of a single account doesn't spread across your entire infrastructure, but is isolated.

Furthermore, automating configuration checks in the CI/CD pipeline is extremely effective. By implementing policy checks and security scanning using CIS Benchmarks, the AWS Well-Architected Framework, tfsec, or other tools, you can detect insecure configurations earlier, preventing them from being deployed.

Case Study: A rule that all infrastructure changes must be subject to a pull request, mandatory Terraform plan review, and approval before deployment has eliminated uncontrolled manual changes in production and reduced the risk of misconfigurations and human error. Additionally, this method provided an audit trail, making it easy to check who made changes and when.

Backup, Recovery and Incident Response

Automating incident detection and response is a particularly effective way to protect your AWS environment. 

AWS Security Hub to scan your environment for security issues is the best way to do this, minimizing manual checks. AWS Lambda also enables automatic configuration correction or isolating vulnerable resources when suspicious activity or an insecure configuration is detected.

For more complex scenarios, AWS services like AWS Step Functions and Amazon GuardDuty are useful. They can detect suspicious IP addresses, anomalies, and block sources through AWS WAF. This allows you to go from detection to response in minutes.

At the same time, automating some tasks doesn't replace an incident response plan. A startup should build its plan. When creating, it's essential to clearly define:

  • Those responsible for incidents

  • System/infrastructure isolation methods

  • Client and stakeholder notifications

  • Recovery processes

  • Incident & lessons learned documentation

For an effective incident response, it's crucial to enable automatic backups (stored separately from the primary environment) and conduct regular recovery testing.

Finally, conducting security drills to simulate various incident scenarios is important because it allows your teams to better understand their roles in the event of an attack, which improves the speed and organization of your response.

Case Study: Sending an alert, checking permissions, fixing the policy, and documenting the incident after the team discovered open access to one of the S3 buckets allowed them to quickly isolate the incident and ensure recurrence prevention. A lesson learned approach minimizes the risks associated with a prolonged data leak, repeated misconfigurations, and a chaotic team response during the incident.

Key Security Challenges in AWS

  • Complex Cloud Asset Management. Since AWS resources are created and destroyed rapidly, management can become a challenge. Because EC2 instances, S3 buckets, and other resources can be created and decommissioned in seconds, maintaining an accurate inventory of your assets requires implementing proper tracking to prevent overlooked vulnerabilities.

  • Lack of Visibility in Multi-Cloud Environments. Hybrid environments that include AWS, on-premises infrastructure, and other cloud solutions may have a number of blind spots, noticeably complicating the monitoring and protection of all your assets.

  • Dynamic Vulnerability Management. Since cloud environments are constantly changing, this carries risks associated with configuration changes, the deployment of new servers, and other surprises, which can sometimes cause vulnerabilities to appear out of nowhere.

Jappware’s Approach to AWS Environment Security

Security in the AWS environment is a top priority for startups. Infrastructure setup and system protection must be implemented from the start, as ignoring security or postponing this stage "somewhere in the future" not only complicates business development and scaling but also carries the risk of complete collapse.

At Jappware, we develop custom solutions and implement security from configuration to integration into your current systems and services.

By collaborating with our security experts, startups can benefit from:

  • Quick internal audits

  • IAM, encryption, logging

  • Early alert system implementation

  • Balanced scalability & security

Contact us today to learn how you can protect your infrastructure, configure permissions, automate tasks, implement rule-based approaches, and avoid the many rookie mistakes that lead to fines and reputational damage for startups.

AWS Secret Manager

AWS Secrets Manager is an effective approach for identity and access management, which also helps you securely store API keys, database credentials, and access tokens.

However, leveraging Secrets Manager requires properly configured permissions, policies, and restricting access to secrets to take advantage of this service.

At Jappware, we help startups secure their systems and infrastructure through AWS Secrets Manager, implementing best practices from the start:

  • Configure IAM policies with minimal privileges and access required for tasks

  • Enable automatic secret rotation for databases

  • Ensure access to secrets is tracked through AWS CloudTrail and other security monitoring tools

  • Prevent secret disclosure through logs, CI/CD pipelines, or environment variable dumps

  • Prevent sharing the same secrets across multiple applications