AI control plane that discovers shadow AI use and enforces policy on what it can reach

AIBound addresses the inventory problem that precedes any AI governance program: security teams are asked to write policy for AI usage they cannot enumerate. The platform pulls signal from several layers at once, including browser telemetry from Safari, Chrome, and Island, endpoint agents on macOS, Windows, and Linux, network traffic through AWS, Cloudflare, and Akamai, and cloud and developer platforms such as Google Cloud, Azure, and GitLab. From that it builds a live inventory of AI applications, autonomous agents, models, and extensions, resolving each to the identity it operates under, which is the detail that distinguishes a sanctioned integration from an employee's personal account connected to corporate data.

Each discovered tool is then assessed for exposure: what data stores and SaaS permissions it can reach, what it retains, and how it scores against the company's catalog of more than 50,000 AI applications, which are graded on an A to F scale. Policy enforcement acts on that assessment in real time, blocking or restricting tools that fall outside the risk tolerance rather than producing a report for later. Results map to the EU AI Act, the NIST AI Risk Management Framework, and comparable regimes, and integrations with over 100 security and IT tools including CrowdStrike, Splunk, Okta, Jira, and ServiceNow push findings into existing workflows. AIBound is headquartered in San Mateo with offices in the UK, India, and South Africa, and holds SOC 2 and ISO 27001 certification.