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AWS Bedrock Knowledge Base or RAG Data Source Tampering
Oct 1, 2026 · Domain: Cloud Domain: GenAI Data Source: AWS Data Source: AWS CloudTrail Data Source: Amazon Web Services Data Source: AWS Bedrock Data Source: Amazon Bedrock Use Case: Threat Detection Resources: Investigation Guide Tactic: Impact Noise: Low Performance: Fast Profile: Recommended Threat: Unauthorized AI Usage Rule Type: New Terms Platform: AWS Service: AWS Bedrock Mitre Atlas: AML.T0070 Mitre Atlas: AML.T0059 ·Detects control-plane mutations to AWS Bedrock knowledge bases and their backing RAG data sources via CloudTrail. An adversary with access to Bedrock Agent APIs can poison the corpus that RAG-enabled models treat as authoritative by ingesting attacker-controlled documents (IngestKnowledgeBaseDocuments, StartIngestionJob), deleting legitimate documents (DeleteKnowledgeBaseDocuments), or repointing/altering the data source itself (CreateDataSource, UpdateDataSource, DeleteDataSource, UpdateKnowledgeBase). Because downstream applications and users trust model answers grounded in this stored data, tampering with the corpus is a stored data manipulation that can drive misinformation, fraud, or manipulated decisions at inference time. This is a New Terms rule that looks for the first time a given identity ARN performs one of these knowledge base or data source mutations within the history window.
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