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Retrieved text does not grant execution rights. That is useful for prevention of document-driven tool abuse, not supervised refund execution.

Identity propagation prevents an agent from accessing another user's resources. Its primary purpose is user-bound tool execution, not supervised refund execution.

Action surfaces and IAM scope limit the agent to approved read operations. It solves least-authority agent lookup, not supervised refund execution.

Secrets must not be exposed in model input or versioned templates. It would support protection of secret prompt content, not prevention of sensitive answer disclosure.

Guardrails screen or filter configured unsafe categories. Its primary purpose is enforcing safe topic boundaries, not prevention of sensitive answer disclosure.

Model text must not be treated as trusted program control. It solves safe machine consumption of AI output, not prevention of sensitive answer disclosure.

Guardrails do not substitute for authorization at the data source. That addresses confidential knowledge access boundaries, not layered IAM and network security.

User identity alone does not authorize every operation an agent may propose. That is useful for controlled consequential operations, not layered IAM and network security.

Encryption at one layer does not prevent disclosure at another. Its primary purpose is secure end-to-end AI interaction logging, not layered IAM and network security.

Temporary role credentials avoid storing static access keys in application code. It solves secure workload access to model APIs, not review of AI resource access entitlements.

Short-lived access reduces risks associated with leaked persistent secrets. It would support reduction of long-lived secret exposure, not review of AI resource access entitlements.

Narrow IAM permissions limit what a workload can access. That is useful for minimal model API authorization, not review of AI resource access entitlements.

Untrusted model text must not elevate execution rights. It solves preventing AI-driven privilege escalation, not auditable identity context across tools.

Agent identity controls can obtain or broker authorized access for tools. That addresses identity-aware access to external APIs, not auditable identity context across tools.

Tool restrictions constrain consequential actions beyond model instructions. It would support agent action-level access control, not auditable identity context across tools.

At-rest encryption protects stored bytes using managed cryptographic keys. That is useful for confidentiality of stored model data, not controlled encryption key permissions.

Encryption in transit protects data while crossing communication links. Its primary purpose is protected data in network transit, not controlled encryption key permissions.

Secret-handling boundaries prevent inadvertent key disclosure to language models. That addresses secure cryptographic secret management, not controlled encryption key permissions.

Network boundaries reduce unauthorized reachability of sensitive data. It would support isolation of internal data from public endpoints, not secure external-tool transport.

Network and IAM controls complement one another in restricting callers. Its primary purpose is limited network exposure of inference APIs, not secure external-tool transport.

Private connectivity can keep traffic on AWS network paths without public internet access. It solves private network access to managed AI, not secure external-tool transport.

Pseudonyms reduce direct identification while retaining selected linkage properties. That addresses privacy-conscious model test data, not tenant and user isolation in AI answers.

Macie identifies sensitive data in Amazon S3 for governance review. It would support sensitive data discovery in object storage, not tenant and user isolation in AI answers.

Data minimization limits unnecessary personal information exposure. That is useful for restricted personal fields in AI prompts, not tenant and user isolation in AI answers.

Shared responsibility differs by selected managed service and customer configuration. It solves accountable cloud security ownership, not secure customer bucket policy.

AWS manages the cloud service while customers govern access to their resources. That addresses customer-side access configuration, not secure customer bucket policy.

AWS operates security of the cloud, including physical facilities. It would support cloud provider infrastructure security, not secure customer bucket policy.

Security Hub centralizes and correlates supported security alerts. It solves consolidated AWS security findings, not vulnerability exposure of application infrastructure.

CloudTrail records supported AWS account/API operations for auditing. That addresses trace of resource management calls, not vulnerability exposure of application infrastructure.

GuardDuty analyzes supported security signals for suspicious activity. It would support security threat detection in AWS accounts, not vulnerability exposure of application infrastructure.

Observability must not unnecessarily expose credentials or sensitive content. Its primary purpose is safe diagnostic prompt logging, not resistance to tool-output command injection.

Lower-trust document text cannot confer access or override tool policy. It solves source-origin prompt injection protection, not resistance to tool-output command injection.

Jailbreaking attempts to override system behavior with adversarial prompts. That addresses adversarial role spoofing defense, not resistance to tool-output command injection.