AWS Compliance List

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3 min read

Luis Felipe Dias

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The aws compliance list covers the global security standards that Amazon Web Services meets. Engineering teams still must lock down their own cloud apps, data, and user roles. Cloud providers use a shared security model for every single customer account. The cloud vendor protects the physical data centers, servers, and core network lines. Your team must protect the databases, code, user keys, and network rules you build. Buying cloud space does not make your own app pass an audit by default.

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The aws compliance list covers the global security standards that Amazon Web Services meets. Engineering teams still must lock down their own cloud apps, data, and user roles.

Cloud providers use a shared security model for every single customer account. The cloud vendor protects the physical data centers, servers, and core network lines. Your team must protect the databases, code, user keys, and network rules you build. Buying cloud space does not make your own app pass an audit by default.

What the aws compliance list covers for audits

Auditors review the aws compliance list to check physical and hardware security controls. This list includes major frameworks like SOC 2, ISO 27001, PCI DSS, and FedRAMP. It also covers privacy and health rules such as GDPR, HIPAA, and SOX. Your team can download vendor audit reports straight from the cloud console. These reports prove that the base cloud hardware meets strict global standards.

Still, auditors will spend most of their time checking your own cloud setup. They want proof that only the right people can reach production databases and servers. You must show how engineers log in and how you approve their roles. Auditors also ask for full logs of every command run against live data. Static role lists are not enough when engineers share database logins or admin keys.

Why identity setup and access reviews need runtime logs

Most teams start by setting up single sign-on and cloud identity roles. They also run quarterly checks to remove old users and trim broad permissions. These steps are vital, but they only show who could reach a system. They do not show what an engineer actually did during a live session.

Cloud network logs track high-level API calls, such as creating a new server. They do not capture the exact SQL queries run inside a production database. They also miss the shell commands an engineer types after logging into a host. When an auditor asks who read a customer table last month, role lists fail. You need command logs that tie every query and action to a real person.

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How response masking and approval rules cut audit scope

Auditors care deeply about how your team handles sensitive user records during daily work. Engineers often run queries or scripts to fix bugs in live systems. Those queries can return raw emails, phone numbers, card numbers, or national IDs. When raw data shows up on an engineer screen, that laptop enters audit scope.

Data masking solves this problem by rewriting matched fields in query results at runtime. An engineer can check a broken row while masking replaces card numbers and emails. The team fixes the bug, and sensitive fields stay safe inside the database. You can also add peer approval steps before anyone runs a risky command. Combining approvals, command logs, and masking gives auditors clear proof of control.

Add runtime guardrails and masking beside your databases and APIs

Login rules, role grants, and CI checks govern who connects to your stack. Yet any allowed script, engineer, or AI agent still runs commands with the full scope of its role. For workloads on Postgres, MySQL, SQL Server, MongoDB, ClickHouse, Kubernetes, SSH, or internal HTTP services, hoop.dev sits beside the service as an open-source proxy, a sidecar for your database or API.

Before a query runs, hoop.dev guardrails check the statement against your rules. An AI Analyzer you configure can score intent or hold risky calls for human review. Next, hoop.dev data masking rewrites sensitive fields in responses, and each verdict is logged per listener. Explore the MIT-licensed project on GitHub.

Frequently asked questions

Does using AWS make our app pass SOC 2 or HIPAA right away?

No, the cloud vendor only covers the physical data centers and base hardware. Your team must still secure your own apps, user logins, databases, and audit logs.

What evidence do auditors ask for during a cloud security review?

Auditors ask for user role lists, login logs, and records of access reviews. They also want detailed logs of commands and queries run on production data stores.

How does data masking help during a PCI DSS or GDPR audit?

Data masking rewrites fields like card numbers, emails, and phone numbers in query results. This keeps sensitive records off developer screens and shrinks your total audit scope.

Save the open-source gateway.

hoop is MIT-licensed infrastructure for controlling how AI agents reach production data. Star hoophq/hoop so you can inspect it, deploy it, or share it when your team starts governing agent access.