Amazon-Bedrock

5 reports

All LLM Security Agentic AI Industry News Research Supply Chain Prompt Injection First Look: Security Regulatory Adversarial ML Jailbreaks Model Theft Data Poisoning AI Security Tools Security Operations

AWS Brings NVIDIA Nemotron and OpenAI GPT to GovCloud

FIRST LOOK ATLAS OWASP HIGH ▲ 6.8 AWS Machine Learning Blog Jul 02, 2026

AWS has expanded Amazon Bedrock in GovCloud (US) to include NVIDIA Nemotron and OpenAI's open-weight GPT OSS models, enabling U.S. government agencies and defense contractors to run frontier LLMs within FedRAMP High and DoD SRG compliance boundaries. This expansion introduces large, capable open-weight models into sensitive government mission workflows — including intelligence analysis, security log review, and contract automation — dramatically increasing the consequence of a successful prompt injection or jailbreak. Defenders must account for the elevated impact of model compromise in classified-adjacent environments, supply chain trust assumptions around open-weight model weights, and the risk of agentic workflows operating with privileged data access under reduced human oversight.

AWS Launches Bedrock AgentCore for Autonomous Payments

FIRST LOOK ATLAS OWASP HIGH ▲ 7.8 AWS Machine Learning Blog Jun 23, 2026

AWS has launched Amazon Bedrock AgentCore Payments, a managed infrastructure layer that enables AI agents to autonomously transact with external model providers and services using the x402 payment protocol, without human intervention. This capability introduces a new class of financial attack surface where compromised or manipulated agents can autonomously spend real funds, exfiltrate value, or be redirected to malicious service endpoints. Defenders must now treat agent payment credentials and spending budgets as first-class financial controls, on par with cloud IAM policies.

AWS Launches Amazon Bedrock AgentCore Harness

FIRST LOOK ATLAS OWASP HIGH ▲ 8.2 AWS Machine Learning Blog Jun 19, 2026

AWS has made Amazon Bedrock AgentCore Harness generally available, providing a managed abstraction layer that reduces agent deployment to two API calls while bundling sandboxed compute, persistent memory, tool gateway, browser access, identity management, and observability. For defenders, this dramatically lowers the barrier to deploying autonomous agents with filesystem access, shell execution, web browsing, and multi-provider model switching — compressing what was a weeks-long infrastructure project into minutes. Security teams face an expanded attack surface where prompt injection, tool abuse, cross-session memory poisoning, and supply chain risks through AWS-curated skill catalogs now arrive as a single, tightly integrated managed service rather than individually reviewable components.

Amazon Bedrock AgentCore Ships with RAG and Memory

FIRST LOOK ATLAS OWASP HIGH ▲ 7.2 AWS Machine Learning Blog Jun 16, 2026

Amazon Bedrock AgentCore now enables production-grade agentic systems that combine RAG retrieval, persistent cross-session memory, and direct user-facing endpoints authenticated only via Cognito Bearer tokens — all surfaced through a single /invocations endpoint. This architecture creates compounded attack surfaces where adversarially crafted content in S3-backed knowledge bases can propagate through the retrieve_and_generate pipeline directly into technician workflows. The persistent AgentCore Memory layer introduces a new cross-session context poisoning vector that does not exist in stateless LLM deployments.

Amazon Bedrock Prompt Injection Traverses Agent Hierarchies

ATLAS OWASP HIGH ▲ 8.5 Palo Alto Unit 42 Apr 23, 2026

Unit 42 researchers conducted red-team analysis of Amazon Bedrock's multi-agent collaboration framework, demonstrating how attackers can systematically exploit prompt injection to traverse agent hierarchies, extract system instructions, and invoke tools with attacker-controlled inputs. The research reveals that multi-agent architectures introduce compounded attack surfaces through inter-agent communication channels, though no underlying Bedrock vulnerabilities were identified. Properly configured Guardrails and pre-processing stages effectively mitigate the demonstrated attack chains.