Turn fast moving AI, agent, and MCP adoption into something visible, governed, and easy to manage.

Obsidian keeps your team ahead of AI adoption, surfacing every new tool, feature, and agent in real time so you can govern confidently instead of catching up weeks later during an audit.
Most security tools only scan for AI via API integrations and miss a significant portion of what's actually running. Obsidian combines browser-level discovery, API integration scanning, and agent monitoring to give your team a complete picture without manual detection and inventorying.
Obsidian automatically discovers every AI tool in use, flags when AI activates inside your enterprise apps, and maps every agent and MCP connection into a single, continuously updated inventory without manual audits.


In just a few months, Obsidian detected over 10,000 routing numbers entered directly into AI prompts across customer environments. Our browser extension monitors and blocks sensitive data in real time before it ever reaches a third-party AI tool.
Detect and monitor AI agents from creation to action. See what permissions they've been granted, which MCP servers they're connected to, and how they're interacting with your data in real time.


Obsidian enforces approved AI usage automatically, blocking sensitive prompt activity and stopping agent access to unauthorized tools and restricted data.
GenAI apps introduce significant risks including data loss and exposure of sensitive corporate information. Nearly 10% of GenAI prompts contain corporate intellectual property, making unmonitored usage a potential security threat. Unmanaged GenAI applications also contribute to shadow IT, complicating security management.
Traditional email and web filters miss ~33% of shadow SaaS applications because they don't monitor in-browser activity. GenAI apps are often accessed directly via browsers and may not trigger traditional monitoring tools, creating visibility gaps.
Obsidian provides browser-level discovery that instantly inventories GenAI applications in use across your organization. By tracking login events and user interactions directly within the browser, it overcomes the limitations of email-based monitoring and reduces false positives.
Model Context Protocol servers are the infrastructure layer that connects AI agents to backend tools and data systems. When an agent invokes an MCP server, it inherits that server's permissions, often including access to systems the invoking user cannot reach directly. Without visibility into MCP usage, organizations have no way to understand the true blast radius of their agent deployments.
Yes, Obsidian's browser extension performs all analysis locally within the user's browser, ensuring sensitive information never leaves the device. This local approach guarantees privacy while offering fast performance and immediate insights into GenAI app usage.
The Obsidian browser extension is designed for flexible and fast deployment. It can be installed across major browsers in minutes, enabling organizations to instantly begin finding and managing GenAI applications without complex configuration or ongoing maintenance.
From day one, Obsidian’s solution delivers automated insights into how employees are using GenAI apps and offers management features to control and govern access. This allows organizations to protect corporate data, control where information flows, and reduce the risk introduced by shadow AI.
Leading Fortune 1000 and Global 2000 enterprises trust Obsidian Security for managing GenAI app usage. Security leaders, like the Chief Information Security Officer at Snowflake, have reported increased visibility into how users interact with generative AI SaaS applications, improving security posture.
Yes, Obsidian offers a free trial that allows organizations to deploy the browser extension and immediately start discovering which GenAI applications their employees are using. This enables you to evaluate the benefits and effectiveness of browser-level security before making a long-term commitment.