Tags: policy enforcement

IronCurtain is an open‑source project that isolates AI assistants in a virtual machine and enforces user‑written policies written in plain English. By converting natural‑language rules into enforceable security constraints through a large language model, the system adds a layer of control that prevents rogue actions such as unwanted deletions or phishing. The prototype is model‑independent, logs policy decisions, and is positioned as a research tool for the community rather than a consumer product. Its creators emphasize the need for structured guardrails to keep agentic AI useful yet safe. Weiterlesen

Enterprises adopting AI agents are exposing gaps in conventional identity and access management. Unlike static rule‑based systems, AI agents reason about data to achieve outcomes, often bypassing predefined permissions. This creates a new risk where context and intent become the attack surface, rendering role‑based and attribute‑based controls insufficient. Experts suggest shifting security focus from static access to governing intent, employing dynamic authorization, provenance tracking, and human‑in‑the‑loop oversight to mitigate the emerging threat of contextual privilege escalation. Weiterlesen