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When an Attacker Meets a Group of Agents: Navigating Amazon Bedrock's Multi

Unit 42 red-teamed Amazon Bedrock multi-agent applications, demonstrating prompt-injection attack chains that leak agent instructions and invoke tools, mitigated by Bedrock Guardrails.

Unit 42 red-teamed Amazon Bedrock Agents' multi-agent collaboration in Supervisor and Supervisor with Routing modes. The demonstrated attack chain detects the operating mode, discovers collaborator agents, delivers attacker-controlled payloads, and can disclose agent instructions and tool schemas and invoke tools with attacker-supplied inputs. No vulnerabilities were found in Bedrock itself, and the built-in prompt attack Guardrail blocked the attacks when properly configured. The researchers collaborated with Amazon's security team and frame the findings as a broader prompt injection risk for LLM-based systems.

Palo Alto Unit 42 · 29d agoAI safety & security

When AI Remembers Too Much

Unit 42 PoC shows indirect prompt injection can poison Amazon Bedrock Agent long-term memory, enabling silent exfiltration of conversation history across future sessions.

Palo Alto Networks Unit 42 published a proof of concept showing that indirect prompt injection can silently poison the long-term memory of Amazon Bedrock Agents when the memory feature is enabled. Malicious content on a webpage or document manipulates the agent's session summarization process, so injected instructions persist across sessions and are added to later orchestration prompts, silently exfiltrating user conversation history. The issue is not a vulnerability in the Amazon Bedrock platform but an illustration of the broader unsolved LLM prompt-injection challenge. Amazon reviewed the research and stated that Bedrock Guardrails with the prompt-attack policy provides effective mitigation.

Palo Alto Unit 42 · 29d agoAI safety & security

AWS limits AI agents’ data access, even when manipulated

AWS detailed propagating user authorization context through Bedrock AgentCore so downstream services enforce access controls even if the agent is manipulated via prompt injection.

AWS described an architecture for Amazon Bedrock AgentCore where user tokens and department claims are validated at runtime and propagated to DynamoDB, Bedrock Knowledge Bases, and Salesforce. Downstream services enforce authorization themselves, so a prompt-injected or buggy agent cannot retrieve data the user is not entitled to see. AWS demonstrated the pattern with a CRM use case separating Sales and Finance access and recommends IAM-backed knowledge bases for stricter isolation.

Help Net Security · 27d agoAI safety & security

Akeyless adds real-time enforcement for AI agents in production

Akeyless launches Agentic Runtime Authority, enforcing real-time intent-based access control on AI agent actions, with integrations for Claude Enterprise, OpenAI Codex and Amazon Bedrock AgentCore

Akeyless announced general availability of Agentic Runtime Authority, a real-time identity control layer that evaluates AI agent actions and blocks policy-violating actions before execution, layered on top of its SecretlessAI credential brokering. New integrations cover Claude Enterprise, OpenAI Codex and Amazon Bedrock AgentCore, alongside an Agentic Access Dashboard with session kill switches and event forwarding to Splunk, Datadog and Microsoft Sentinel. The vendor's platform already secures over 220 billion machine identity interactions for Fortune 500 organizations.

Help Net Securityupdated · 5d agofirst · 6d agoTools 2 sources1

Daybreak models are now available on AWS

OpenAI makes Daybreak cybersecurity models available on AWS via Amazon Bedrock for enterprise security workflows.

OpenAI announced that its Daybreak models are now available on AWS through Amazon Bedrock. The move extends Daybreak's cybersecurity capabilities to enterprises running security workflows in the cloud.

OpenAI News · Aug 11, 2026AI industry

Wazuh and AI For Enhanced SOC Workflows

Wazuh details AI-powered SOC workflows via its AI Analyst, self-hosted Llama 3 via Ollama, and Claude 3.5 Haiku integrations.

Wazuh outlines how AI can augment SOC analysts handling high alert volumes. The Wazuh AI Analyst on Wazuh Cloud uses Amazon Bedrock and Anthropic Claude to generate scheduled security posture reports. Self-hosted options include Llama 3 with Ollama, FAISS, and LangChain for privacy-sensitive threat hunting, plus an OpenSearch Assistant integration with Claude 3.5 Haiku. This is a vendor-contributed piece describing product capabilities rather than an incident or vulnerability.

The Hacker News · 25d agoTools

AWS Introduces Pizza Bot: An Open Source Inbox for Background AI Agents

AWS open-sourced Pizza Bot, a self-hosted inbox app for background AI agents with approval gating and multi-provider model support.

AWS released Pizza Bot under Apache 2.0 after earlier versions served over 2,000 Amazon employees for meeting prep, email drafting, and research. The app provides macOS, Windows, and Linux desktop builds plus browser and terminal clients talking to a Hono API server, with LangGraph/DeepAgents checkpoints preserving thread state and approval pauses. It supports Amazon Bedrock, Anthropic, Google Gemini, OpenAI, OpenRouter, and Ollama, exposes external tools via MCP servers, and lets skill authors gate actions behind approve/edit/reject flows.

MarkTechPost · 3d agoAI tools & infra

Clearview AI Is Testing an AI Tool That Would Let Cops Unearth Your Life Online

Clearview AI is prototyping InquiryIQ, an AI analyst assistant that would automatically profile individuals identified through its face-recognition searches for police.

WIRED uncovered InquiryIQ, an unreleased Clearview AI prototype described as an AI analyst assistant that fans out across the web from a face-recognition search result to assemble profiles including employers, aliases, associates, and physical characteristics. The company tested a model from xAI (merged with SpaceX), maker of Grok, and the interface accepts age, gender, and race inputs to guide searches. Clearview says the prototype was never pitched or shipped to customers and no law enforcement user has used it; the database has grown to over 70 billion images used by more than 2,000 law enforcement agencies.

WIRED · Security · 6d agoAI industry1

AWS is using Qualcomm for AI inference while Qualcomm uses AWS Bedrock to design the chips

Qualcomm will design custom AI inference chips for AWS while using Bedrock for chip design, its third major data center win since June.

Qualcomm is designing custom AI inference chips for AWS across multiple product generations and co-developing optical interconnects with up to 1.6 Tbps bandwidth. In return, Qualcomm uses Amazon Bedrock to accelerate its chip design process. The deal is Qualcomm's third major data center win since June, after Meta adopted the Dragonfly C1000 server processor and Microsoft began deploying Qualcomm's HBC memory architecture in Azure; Qualcomm targets $15 billion in data center revenue by 2029.

The Decoder · 6d agoAI industry1

Context Engineering Inside the Harness: 4 Mechanisms That Beat Context Overflow and Goal Loss on Long-Horizon Tasks

Survey of four harness mechanisms—context budgeting, compaction, todo-state, and memory—that keep long-horizon LLM agents on task across 200+ tool calls.

The article details how agent harnesses, not larger context windows, solve context overflow and goal loss on long-horizon tasks, citing Chroma's Context Rot report showing 18 LLMs (GPT-4.1, Claude 4, Gemini 2.5, Qwen3) degrade on long inputs. Concrete implementations include LangChain Deep Agents offloading tool responses over 20,000 tokens to the filesystem and truncating old tool calls at 85% window usage, and Claude Code capping auto memory at 25KB while re-reading the 5 most recently modified files after compaction. OpenAI's Responses API now offers server-side compaction via context_management with a standalone /responses/compact endpoint, which Codex uses for long-running coding tasks. Manus reports a roughly 100:1 input-to-output token ratio per ~50-tool-call task, motivating todo.md state recitation to prevent goal drift.

MarkTechPost · 3d agoAI research1

Why 2026 is the Year to Upgrade to an Agentic AI SOC

Elastic Security Labs argues 2026 is the production inflection point for agentic AI in security operations centers.

Elastic Security Labs argues 2026 is the practical inflection point for agentic AI SOCs, noting nearly two-thirds of organizations are experimenting with AI agents while fewer than one in four have production deployments. The piece outlines operational challenges and recommendations: treat agents as non-human identities with least-privilege tool access, version-control system prompts as code, deploy unified agents with on-demand task packages, and enforce per-agent budgets and rate limits. It stresses explainability via RAG and transparent reasoning traces so analysts can verify and override autonomous decisions.

Elastic Security Labs · 7d agoIndustry

OpenAI launches GPT-6 Astra, its first model to cross a critical cybersecurity threshold

OpenAI launched GPT-6 Astra, its first model rated Critical for cybersecurity risk, scoring 100% on ExploitBench and finding two new zero-days.

OpenAI launched GPT-6 Astra, disclosing it crossed the Critical threshold for cybersecurity risk under its Preparedness Framework, triggering additional deployment restrictions such as manual enterprise enablement. The model scored 100% on ExploitBench (vs 78.5% for predecessor GPT-5.6 Sol) and 42.4% on ExploitGym (vs 30.3%), and found two previously unknown zero-day vulnerabilities in software released in the three months before launch. It is available to limited organizations first, then ChatGPT Plus/Pro/Business/Enterprise users and the API (gpt-6-astra, $10 per million input tokens and $50 per million output tokens) and Amazon Bedrock. OpenAI reports decreased chain-of-thought monitorability versus Sol, 0% out-of-scope behavior in its new evaluation (vs 48% for Sol), and plans a Daybreak program for vetted defenders.

CSO Online · 12d agoModel release2

Anthropic's Enterprise Frontier Safeguards lets your Claude logs stay in your cloud

Anthropic launches Enterprise Frontier Safeguards, letting regulated customers keep Claude usage logs in their own cloud storage under their own keys with automated misuse detection.

Anthropic unveiled Enterprise Frontier Safeguards, co-designed with eight members of the Analysis and Resilience Center for Systemic Risk and more than 100 customers including Wells Fargo, Goldman Sachs, Visa, Mastercard, Comcast, KPMG, and Salesforce. Misuse-detection activity data can live in the customer's Amazon S3, Azure Blob Storage, or Google Cloud Storage under customer-managed keys, with fully automated review and no human inspection by Anthropic; automated systems watch for offensive cyber or biological capability development and signs of stolen credentials. The offering replaces the friction around Fable 5's 30-day retention policy, costs nothing extra, spans Claude Enterprise, Claude Platform, Amazon Bedrock, Google's Agent Platform, and Microsoft Foundry, with broad availability targeted for later this fall.

Help Net Security · 14d agoAI industry1

DataGrout helps enterprises control AI usage, governance and LLM costs

SelectHub launched DataGrout, an LLM cost and governance platform combining dynamic context pruning, symbolic inference and MCP gating, claiming about 60% token reduction.

SelectHub launched DataGrout, an LLM inference optimization and AI governance platform combining dynamic context pruning, a symbolic inference layer, and an MCP gateway with per-call token and cost monitoring. Early tests claim roughly 60% token reduction on data-intensive ERP and CRM integration tasks without accuracy loss. The platform connects via its Conduit SDK, MCP or JSON-RPC, offers its own MCP servers for SaaS apps such as Salesforce, SAP and ServiceNow, and supports bring-your-own-key LLM access or gateways like Amazon Bedrock and Kong.

Help Net Security · Aug 13, 2026AI tools & infra1