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See the AI your organization is already using, sanctioned or not
Employees are adopting AI assistants, LLMs, and MCP-connected tools faster than security teams can track them.
AgentGarde discovers unsanctioned AI, LLM, and MCP tool usage across your environment, so confidential data stops leaving through tools nobody approved.
Common challenges
New assistants, browser tools, and coding copilots appear across the organization constantly, and most never go through a review.
What we consistently see:
AI adoption is outpacing oversight
Confidential material is the real exposure
Browser monitoring isn’t enough
You can’t govern what you can’t see
When case files, client records, or regulated data are pasted into a consumer AI tool, they can leave your control instantly.
Much of today’s AI usage happens outside the browser, in desktop apps and coding tools that traditional visibility never sees. Without an inventory of where AI is actually being used, policy is guesswork.
How AgentGarde works
Deployment is a la carte. You choose the collection methods that fit your environment, and combine as many as you need.
Network traffic analysis
A proxy inspects traffic for AI-service usage
DNS
observation
Reads DNS logs to catch resolution of known AI-service domains
Existing log ingestion
Pulls AI-usage signals from tools you already run, through a standard access-log format
Workstation coverage
A local agent routes a machine’s traffic through a monitored point, the method that reliably catches non-browser AI usage like coding assistants
MCP server discovery
Inventories and analyzes the MCP servers running on a host
Browser enrichment
An extension adds detail on in-browser AI activity
AgentGarde ships with legal-specific detection: it recognizes case-number formats, case-law citation patterns, and court references, so alerts reflect the material that actually matters in professional and regulated environments.
Built for high-exposure, regulated work
Detection is tuned to the material that actually matters.
Case-number formats
Case-law citation patterns
Court references
Exact Data Matching (EDM) lets you load your own sensitive strings, such as account numbers, client identifiers, or matter numbers, and monitor for those specifically, rather than relying on generic keywords.
Purpose-built for law firms and professional-services organizations, where internal AI adoption is fast and the cost of confidential material reaching a consumer AI tool is high. AgentGarde stays deliberately focused on discovering rogue AI usage rather than trying to be an all-purpose platform.
How findings reach you
Findings are risk-scored and delivered and triaged through the SecurIT360 SOC.
Each alert is presented on a single screen so an analyst can read it and decide whether it matters at a glance. There is no separate console for your team to learn or log into. The monitoring runs behind the scenes, and the SOC brings you what needs attention.
Tenant isolation keeps each organization’s data fully separated, and enterprise deployment is supported through SSO with Microsoft Entra ID and standard Kubernetes and Docker Compose environments.