CLOUD SERVICE · AWS

AWS Security Agent - AWS Security Agent is an AI-powered application security service for reviewing designs and code and performing penetration testing.

AWS Security Agent helps teams identify application security weaknesses during design, development, and testing. It evaluates application artifacts against security requirements and tests running applications to produce findings that engineers can investigate and remediate.

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What is AWS Security Agent

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AWS Security Agent brings application security assessment into the software development lifecycle. Its scope includes reviewing application designs, reviewing source code, and performing penetration testing against running applications. These activities address different questions: whether an architecture includes appropriate security controls, whether an implementation introduces vulnerabilities, and whether an exposed application can actually be exploited.

For design reviews, provide application documentation that explains components, trust boundaries, data flows, authentication, authorization, and sensitive information handling. Include the security requirements that the application must satisfy. A useful submission describes how the system behaves, not just which AWS services it uses. Missing details about tenant isolation, privileged operations, or external dependencies can limit the usefulness of an assessment.

Code review complements design review by examining implementation details. Engineers should evaluate findings in the context of the affected execution path, input validation, authorization checks, and deployment configuration. Treat suggested changes as review inputs rather than automatically approved patches. Add regression tests for confirmed vulnerabilities and verify that remediation preserves required application behavior.

Penetration testing evaluates a running application rather than relying exclusively on documentation or source analysis. Before testing, establish an authorized scope, select an appropriate environment, and identify endpoints and user journeys that matter. Use a representative staging deployment when possible. Supply test accounts with suitable permissions, use synthetic data, and make sure that downstream integrations cannot trigger unintended payments, messages, or destructive actions.

Network reachability and application access remain operational prerequisites. An assessment cannot exercise an inaccessible endpoint or authenticated workflow without an appropriate access path. Coordinate testing with application owners and monitoring teams, and establish procedures for handling elevated traffic, account lockouts, and unexpected application behavior. Authorization to assess one application does not automatically authorize testing its third-party dependencies.

Use findings as part of an engineering workflow: validate the issue, identify the owner, prioritize the risk, implement a fix, and retest. Preserve enough context to reproduce confirmed problems without unnecessarily distributing credentials or sensitive response data. AWS Security Agent complements, rather than replaces, dependency scanning, infrastructure configuration checks, runtime monitoring, and human security review. Its assessments should not be interpreted as certification that an application is secure.

Key AWS Security Agent Features

Application design reviews

Assess application designs for security weaknesses before implementation. Include trust boundaries, data flows, and security requirements so the review can evaluate architectural decisions in context.

Source code security reviews

Identify potential security issues in application code. Engineers should validate the affected execution path and review proposed remediation before merging changes.

Automated penetration testing

Test running applications for exploitable weaknesses. Define an authorized scope and prepare appropriate endpoints, test identities, and operational safeguards before starting an assessment.

Security requirement context

Use application security requirements to guide assessment. Explicit requirements for authorization, sensitive data handling, and tenant isolation make findings more relevant to the application.

Remediation-oriented findings

Use reported issues and remediation guidance to support investigation and fixes. Confirm the behavior, add regression coverage, and reassess the affected functionality after remediation.

AWS Security Agent Use Cases

Review a new application architecture

Assess a proposed architecture before implementation, focusing on authentication, authorization, data exposure, and trust boundaries. Resolve significant design issues before they become expensive code or infrastructure changes.

Assess security-sensitive code changes

Review changes to login flows, administrative operations, file handling, or tenant isolation. Use confirmed findings to drive targeted fixes and regression tests.

Test a release candidate

Run penetration testing against an authorized staging deployment before release. Use representative application configuration and synthetic data so results are useful without exposing production records.

Validate vulnerability remediation

Reassess affected functionality after a security fix. Confirm that the original exploit path is closed and that related workflows still behave correctly.

Services AWS Security Agent integrates with

<p>A common architecture separates access to AWS Security Agent from access to the application being assessed. IAM governs the AWS identities allowed to administer the service and run assessments. Application authentication remains a separate concern: a test account represents an application user, not an IAM permission to manage the assessment service.</p><p>For web applications, a staging hostname behind an Application Load Balancer provides a representative entry point. For API-based applications, a dedicated Amazon API Gateway stage can expose the routes under assessment. These are target deployment patterns rather than claims of native service connectors. Confirm supported connectivity before planning an assessment, especially when the application is not publicly reachable.</p><p>Preserve realistic authentication, routing, and authorization behavior while isolating test data and downstream effects. For example, a staging API can use synthetic customer records and disable real payment processing while retaining tenant access controls. Coordinate application logs and operational monitoring with the assessment window so engineers can investigate findings and distinguish authorized testing from unrelated activity.</p>

Amazon API Gateway image Amazon API Gateway

Applications exposing APIs through Amazon API Gateway can be assessment targets when their endpoints and authentication are accessible to the test. For example, use a dedicated staging API and test identities to evaluate whether one tenant can access another tenant's records. Keep API authorization, throttling, and downstream side effects in scope when interpreting results; this pattern does not require a native API Gateway connector.

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