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KMS supports governed use and management of cryptographic keys. Its primary purpose is controlled encryption key permissions, not protected data in network transit.

Secret-handling boundaries prevent inadvertent key disclosure to language models. It solves secure cryptographic secret management, not protected data in network transit.

At-rest encryption protects stored bytes using managed cryptographic keys. That addresses confidentiality of stored model data, not protected data in network transit.

Transport authentication helps prevent interception and impersonation. That is useful for secure external-tool transport, not isolation of internal data from public endpoints.

Network and IAM controls complement one another in restricting callers. Its primary purpose is limited network exposure of inference APIs, not isolation of internal data from public endpoints.

Private connectivity can keep traffic on AWS network paths without public internet access. It solves private network access to managed AI, not isolation of internal data from public endpoints.

Pseudonyms reduce direct identification while retaining selected linkage properties. That addresses privacy-conscious model test data, not restricted personal fields in AI prompts.

Macie identifies sensitive data in Amazon S3 for governance review. It would support sensitive data discovery in object storage, not restricted personal fields in AI prompts.

Authorization must apply before the model receives protected data. Its primary purpose is tenant and user isolation in AI answers, not restricted personal fields in AI prompts.

Customer configuration remains part of security in the cloud. That addresses secure customer bucket policy, not cloud provider infrastructure security.

Shared responsibility differs by selected managed service and customer configuration. It would support accountable cloud security ownership, not cloud provider infrastructure security.

AWS manages the cloud service while customers govern access to their resources. That is useful for customer-side access configuration, not cloud provider infrastructure security.

Inspector identifies supported workload and package vulnerabilities. Its primary purpose is vulnerability exposure of application infrastructure, not security threat detection in AWS accounts.

Security Hub centralizes and correlates supported security alerts. It solves consolidated AWS security findings, not security threat detection in AWS accounts.

CloudTrail records supported AWS account/API operations for auditing. That addresses trace of resource management calls, not security threat detection in AWS accounts.

Lower-trust document text cannot confer access or override tool policy. That is useful for source-origin prompt injection protection, not adversarial role spoofing defense.

Tool results must not be promoted to authority over application actions. It solves resistance to tool-output command injection, not adversarial role spoofing defense.

Observability must not unnecessarily expose credentials or sensitive content. That addresses safe diagnostic prompt logging, not adversarial role spoofing defense.

Generated citation-looking strings do not prove a document was accessed. That is useful for prevention of fabricated sourcing, not documented training data origin.

Content provenance is essential for lawful data governance. Its primary purpose is permitted use of source datasets, not documented training data origin.

Source citations connect generated claims to their evidence origin. It solves verifiable evidence references, not documented training data origin.

Data access control limits exposure of sensitive inputs and model assets. That addresses least-privilege data engineering, not private data preparation for learning.

Poor-quality input data can cause unreliable learned behavior. It would support trustworthy training inputs, not private data preparation for learning.

Data integrity ensures the system processes the intended authentic content. Its primary purpose is trustworthy RAG source integrity, not private data preparation for learning.

Bounded refusal is preferable to unsupported factual certainty. That addresses safe handling of missing grounding, not exact system-of-record transaction facts.

Toxicity controls target harmful wording beyond factual correctness. It would support safe customer-facing response content, not exact system-of-record transaction facts.

RAG reduces unsupported factual claims by supplying approved evidence. That is useful for factual answers grounded in an official manual, not exact system-of-record transaction facts.

Application logs capture contextual request-response relationships beyond infrastructure events. It solves traceability of model interactions, not attribution of permission changes.

Config tracks supported resource configurations and compliance status. That addresses resource configuration change monitoring, not attribution of permission changes.

CloudWatch provides operational telemetry and monitoring for supported resources. It would support inference performance observability, not attribution of permission changes.

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.