AWS Bedrock’s connectivity to enterprise systems enables powerful AI workflows but also creates rich attack surfaces that can be exploited via permissions, configurations, and integrations. XM Cyber mapped eight validated attack vectors — from log manipulation and knowledge-base compromise to agent hijacking, flow injection, guardrail degradation, and prompt poisoning — and recommends tight permission and posture controls to secure Bedrock deployments. #AWSBedrock #XMCyber
Keypoints
- Bedrock’s integrations to S3, Salesforce, SharePoint, and other services make AI components reachable and exploitable.
- Model invocation logs can be redirected or scrubbed to exfiltrate prompts or erase evidence.
- Knowledge-base attacks let adversaries pull raw data or steal credentials to access underlying data stores and move laterally.
- Agent and flow compromises enable injection of malicious executors, sidecar nodes, or altered business logic to exfiltrate or manipulate data.
- Guardrail and prompt management abuses can weaken or poison safety controls to subvert AI behavior at scale.
Read More: https://thehackernews.com/2026/03/we-found-eight-attack-vectors-inside.html