AIBound Information

AIBound is an Enterprise AI Security Platform for AI Usage Control (AIUC) at the endpoint, where your employees' AI already runs: the agents, MCP servers, skills, models, apps, and prompts most security stacks can't see. Gateways read network traffic. XDR reads endpoint processes. AI-SPM and SaaS tools read cloud and code connectors. None of them see what is actually installed on the laptop, and by the time shadow AI turns up in an audit it has often been running unnoticed for months. AIBound reads the AI itself, at the endpoint. See: every AI agent, app, identity, MCP server, skill and prompt in your environment, at the endpoint, browser, network and cloud. Stop: every AI resource graded A-F on evidence, and the high-risk ones stopped in real time before they reach sensitive systems, inside the agent itself. Govern: audit-ready evidence fed directly into the GRC program you already run, mapped to the EU AI Act, NIST AI RMF and ISO/IEC 42001, rather than replacing it. It deploys through whatever UEM or MDM you already have, in one click. No network taps. Read-only during discovery, with enforcement only on your explicit authorization. First AI insights within minutes, full inventory within 24 hours. Founded by Niall Browne, former Global CISO of Palo Alto Networks and former Chief Trust Officer of Workday, AIBound was built by security operators for security operators. Customers have taken an insurer audit-ready for the EU AI Act eight weeks early, replaced a two-analyst-week bank board report with four hours of work, caught 145 poisoned skills at install across Claude, Copilot and Cursor before any of them ran, and safely unblocked 210 employees inside 48 hours. Security stops being the department of no. Book a Risk Assessment at aibound.com/request-a-demo.