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Most organizations now run or pilot AI agents that operate on company data with limited human direction at each step, a share that reaches 88% in Veeam Software’s Data and AI Trust Gap report. The systems that are supposed to keep an eye on them …
Decentralized storage networks already hand pieces of people’s data to strangers’ machines. The lasting question across these networks is whether the machine holding the data can read it. A research paper by Gregory Magarshak, a professor a…
Enterprises are connecting AI agents to live data feeds and putting them to work on tasks that once required human review, from IT operations to software development. The number doing this in production reached 32 percent in 2026, up from 29 percent th…
Developers coordinate code across README files, issue threads, and pull request discussions. Much of that exchange happens in English, and a large share happens in other languages. GitHub has released a dataset built to help researchers and developers …
Across large enterprises, a single question keeps surfacing when teams want to put customer data to work. Can this record be used for a given purpose, and does the consent behind it still hold? The data sits in warehouses and customer databases, and th…
Workplace AI assistants have mostly waited for a prompt before doing anything. A user asks, the tool answers, and the exchange ends there. Microsoft is putting a different kind of agent inside its Office applications, one designed to keep operating in …
Office workers in the United States lose hours each week to email triage and to searching for files spread across disconnected systems. Roughly 40 percent of US labor, about 72 million people, works primarily with information such as analysis, document…
Most teams that deploy AI start with a backbone model. They download a large pre-trained system, adapt it to a specific task, and put it into production. The download step carries a security question: the origin of the model. A research team built an a…
In this interview with Help Net Security, Avani Desai, CEO at Schellman, talks about the gap between what organizations think they know about their data and what discovery scans turn up. She shares stories of shadow data in abandoned cloud storage, pos…
Enterprise deployments of AI agents lean on two extension mechanisms that introduce risk at different layers of the stack. MCP servers expose deterministic code functions with structured, loggable invocations. Skills load textual instruction sets direc…