THE Hacker News reports that XM Cyber threat research team identified eight validated attack vectors inside AWS Bedrock, illustrating how attackers can exploit connectivity between foundation models and enterprise data. According to XM Cyber threat research team, the vectors span log manipulation, knowledge base compromise, agent hijacking, flow injection, guardrail degradation, and prompt poisoning.
The eight vectors begin with a low-level permission footprint and can reach critical assets via Bedrock’s data sources, data stores, and agent and flow constructs, including the ability to read or redirect model invocation logs in S3, bypass Knowledge Base data sources such as Salesforce or SharePoint, and exfiltrate credentials stored in vector stores like Pinecone or Redis Enterprise Cloud.
Other attack paths involve directly rewriting or attaching malicious agents, injecting malicious code into Lambda functions, or manipulating guardrails and prompts across the ecosystem, potentially enabling mass exfiltration or harmful content at scale. The article emphasises that securing Bedrock starts with inventorying AI workloads and tightening posture across permissions and integrations, rather than focusing on the models themselves.