AWS announced a Consent portal for Amazon Bedrock AgentCore Identity, a managed web experience handling end-user OAuth consent and session binding for AgentCore Gateway. Previously customers had to build and host their own session binding infrastructure. The feature supports agents accessed through IDE and MCP clients like Kiro, Claude Code, Cursor, and VS Code.
An agentic platform AWS is building with Wood Mackenzie on Amazon Bedrock AgentCore, addressing the gap between agent prototypes and production deployments. It standardizes concurrency, session isolation, identity, state, scaling, and guardrails so the energy-research firm doesn't rebuild this layer per agent. LLM-based agents run on real traffic with monitoring to verify correct behavior.
An agentic platform AWS is building with Wood Mackenzie on Amazon Bedrock AgentCore, addressing the gap between agent prototypes and production deployments. It standardizes concurrency, session isolation, identity, state, scaling, and guardrails so the energy-research firm doesn't rebuild this layer per agent. LLM-based agents run on real traffic with monitoring to verify correct behavior.
An AWS tutorial/pattern for building AI agents that reason over data spread across multiple AWS accounts using AgentCore Gateway and the Model Context Protocol. The LLM agent queries data in each line-of-business account in place, avoiding data replication or complex cross-account IAM setups. It targets enterprises wanting agents with visibility across distributed accounts.
An AWS tutorial/pattern for building AI agents that reason over data spread across multiple AWS accounts using AgentCore Gateway and the Model Context Protocol. The LLM agent queries data in each line-of-business account in place, avoiding data replication or complex cross-account IAM setups. It targets enterprises wanting agents with visibility across distributed accounts.
An AWS Machine Learning blog post walks through connecting Claude Desktop on Amazon Bedrock to Web Search on Amazon Bedrock AgentCore via AgentCore Gateway. Web Search is an MCP-compatible, fully managed capability backed by an Amazon web index, with all query traffic staying inside AWS infrastructure. The integration uses JWT-based inbound auth federated from AWS IAM Identity Center through Amazon Cognito, requiring no third-party identity providers or external API keys.
An AWS Machine Learning blog post walks through connecting Claude Desktop on Amazon Bedrock to Web Search on Amazon Bedrock AgentCore via AgentCore Gateway. Web Search is an MCP-compatible, fully managed capability backed by an Amazon web index, with all query traffic staying inside AWS infrastructure. The integration uses JWT-based inbound auth federated from AWS IAM Identity Center through Amazon Cognito, requiring no third-party identity providers or external API keys.
Elizabeth Fuentes Leone and Sandhya Subramani present an AWS 'Agent Speedrun' workshop building a customer service agent with Strands Agents, adding programmatic controls like tool rate limiters, skills, and steering handlers, then deploying to Amazon Bedrock AgentCore. It offers practitioners a concrete path from notebook prototype to a deployed, observable production service with explicit points for constraints and inspection.
Elizabeth Fuentes Leone and Sandhya Subramani present an AWS 'Agent Speedrun' workshop building a customer service agent with Strands Agents, adding programmatic controls like tool rate limiters, skills, and steering handlers, then deploying to Amazon Bedrock AgentCore. It offers practitioners a concrete path from notebook prototype to a deployed, observable production service with explicit points for constraints and inspection.
AgentSweep is a CLI tool that scans the local history files of 31 AI coding agents (Claude Code, Cursor, Codex, etc.) for leaked secrets like API keys, tokens, and passwords. It uses 193 detection rules to identify credentials and provides revocation links for each provider, helping developers clean up sensitive data left in plaintext by LLM interactions.
AgentSweep is a CLI tool that scans the local history files of 31 AI coding agents (Claude Code, Cursor, Codex, etc.) for leaked secrets like API keys, tokens, and passwords. It uses 193 detection rules to identify credentials and provides revocation links for each provider, helping developers clean up sensitive data left in plaintext by LLM interactions.