Announcing Web Search on Amazon Bedrock AgentCore: Ground your AI agents in current, accurate web knowledge

June 17, 2026 — Amazon Bedrock Managed Knowledge Base, a fully managed retrieval-augmented generation (RAG) service, is now generally available. With Managed Knowledge Base, developers can build production-ready AI agents grounded […] The post AWS Launches Amazon Bedrock Managed Knowledge Base for Enterprise RAG Applications appeared first on AIwire.

With its latest AI tools and products, the vendor showed it is listening to its customer base even while it fails to offer novelty in the market.

Prime Minister Kristen Michal backed a proposal to issue AI agents a personal identification code separate from the people who own them.

Amazon Bedrock's new Fully Managed Knowledge Bases simplifies building enterprise RAG pipelines by providing native data connectors Smart Parsing for automatic multi-format data preparation, and an Agentic Retriever for complex multi-step queries—all integrated with AgentCore Gateway so developers can focus on business outcomes rather than infrastructure management.

The problem with software development today may no longer be writing code. With AI coding assistants generating code faster than ever, the bigger challenge is reviewing, testing, and safely releasing it. AWS is betting that software teams need help with that part of the process, adding release management features to its DevOps Agent. The new features, currently in preview, automatically assess code changes against organizational standards, identify potential release risks, and generate tests tailored to individual changes before they reach production. The release readiness feature, in particular, runs the code in an AWS-managed isolated environment, executing lightweight user journey tests to verify the software builds, runs, and passes basic functional checks before the change enters the pipeline, the company wrote in a blog post. The findings of these tests can be viewed through the DevOps Agent console, as comments on pull requests in GitHub or GitLab, or can be invoked directly thr

The company’s latest agentic AI tools promise faster enterprise automation, but the more revealing story is the infrastructure AWS is building to monitor and contain them.

There’s no shortage of agentic AI tools out there that offer to perform online tasks on your behalf, if only you’ll give them all your passwords and credit card details. The trouble starts when those agents don’t know when to stop — or when others don’t know to stop them. In Estonia, the country’s AI Council has plans to change that, proposing to issue government-backed digital identities for AI agents that spell out what powers a person or company is willing to delegate to them. “In the future, AI will increasingly perform digital operations on behalf of a person, company, or institution,” said Estonian Prime Minister Kristen Michal in a news release. “To do this, it must be clear who is acting, on whose behalf, with what rights, and who is responsible.” He supported the AI Council’s proposal to create a digital identity for AI agents that will define agents’ rights and enable them to act in a verifiable and auditable manner. The ID could, the council suggests, show whether an agent i

Insider Brief PRESS RELEASE — RELAI has launched a verifiable continual learning platform for AI agents, and announced $6.9 million in total funding to scale it. The funding includes a newly secured $5.4 million pre-seed round led by .406 Ventureswith participation from AITFund (“AI Tinkerers Fund”) and other strategic investors, along with $1.5 million in prior investment support from Non […]