InfoWorld AI·
First came vector databases, then RAG. Now, the next frontier in enterprise AI is taking shape: context layers that give autonomous agents a shared understanding of the business, a vision Databricks is advancing with Genie Ontology. Currently in preview, Genie Ontology automatically extracts business context from enterprise data, dashboards, queries, pipelines, documents, and applications and organizes it into a living graph that AI agents can use to understand how an organization operates. Showcased at the company’s Data + AI Summit, Genie Ontology uses a ranking system inspired by Google’s PageRank to identify the most authoritative business definitions within an organization. Rather than treating all sources equally, it weighs factors including who created the information, how widely it is used, its links to certified datasets and assets, and how recently it was updated before determining which answer an AI agent should rely on, Databricks CEO Ali Ghodsi said during his keynote late
Read full articleJune 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.
For most organizations, AI security has meant one thing: keeping sensitive data out of the prompt. That instinct makes sense. Prompt-level protections are visible, understandable, and relatively easy to implement, […] The post Enterprise AI Has Outgrown Prompt Security appeared first on AIwire.
Prime Minister Kristen Michal backed a proposal to issue AI agents a personal identification code separate from the people who own them.
Grok's expansion to major cloud platforms enhances AI accessibility, fostering competitive innovation and broadening enterprise AI adoption. The post Grok expands availability to major cloud platforms including Azure and Oracle appeared first on Crypto Briefing.
A Microsoft and Huazhong University benchmark tested GPT-4o, GPT-5, Grok-3, and others on realistic enterprise data scenarios. Privacy violation rates hit 50.9%. More capable models made it worse, and the fix has nothing to do with model selection...
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 […]
