Guardian agents for every AI your company runs.
Holistic AI EndLayer discovers every AI tool, agent, model and MCP connection across your devices, cloud and applications, shows what each one reaches and costs, and enforces your policy as it happens.
EndLayer is built by Holistic AI.
Two minutes on the Guardian Agent Platform: how EndLayer's guardian agents find every AI tool, agent, model and key, show what they reach and cost, and enforce your AI policy as it happens.
0:00 The problem. Every day, someone in your company tries a new AI tool. A coding agent to finish the sprint, a chatbot to write the report, a local model just to see what it can do. Nobody means any harm, but nobody told security either. Now multiply that by every laptop you own. Agents that act on their own, keys left in files, company data on personal accounts. None of it crosses your gateway. So when the board asks, “What AI are we running?”, the honest answer is, “We don’t know.” That changes now.
0:39 Meet EndLayer. Meet EndLayer, Guardian Agents for AI. One agent on every device, the Layer 1 Agent, and one place to see and govern all of your AI.
0:51 Surface. First, it surfaces everything. Every AI tool, agent and model, every MCP server, every key sitting in a file. A tool installed at 9:00 is in your inventory by quarter past.
1:06 Monitor. Then it shows you what matters. Which agents can act without a human, which accounts are personal, and what it all costs, team by team.
1:15 Govern. And then you decide. Write your policy once, and every device is checked against it. When someone pastes a card number into an AI tool, the Layer 1 Agent stops it before it ever leaves the machine. Every decision is kept. So when the auditor asks, you don’t scramble. You show them.
1:38 One agent. All of this runs on one agent, the Layer 1 Agent. It finds what a network never will. It reads AI traffic on the machine that made it, and it stops what your policy forbids as it happens. There is no language model on the device, and only redacted evidence ever leaves. Your people keep working, and security can finally see.
2:02 Close. AI is already inside your company. Now you can see it, govern it, improve it. EndLayer by Holistic AI. Book your demo at endlayer.ai.
Unregistered tools, personal accounts and untracked spend leave gaps in control. EndLayer connects the inventory, context and policy evidence your teams need.
Find AI apps, coding agents, local models and MCP connections on enrolled devices—even tools nobody registered. See account type, declared access and API-key presence without exposing secret values.
Attribute available token usage and cost to employees, tools, models and projects. Investigate changes in consumption and see which source records support each cost.
Use consumption and cost evidence to investigate potential waste. Bring it into ROI reviews alongside outcomes such as time saved or work completed, so investment decisions have context.
Apply versioned company rules across enrolled laptops. Warn, redact or block supported interactions involving sensitive prompts, PII or secrets, and track policy findings through resolution.
Guardian agents on your devices, read-only discovery in your cloud, and SDKs in your own applications, all under one policy and one evidence record.
Find installed AI tools, local models and MCP connections. Apply local controls to supported interactions.
Connect cloud accounts to discover AI services, exposure, safety configuration, usage and cost. Cloud discovery is read-only.
Use SDKs to bring model calls, agent runs and tool-call evidence from your own applications into the platform.
Sensitive values are redacted locally before discovery evidence is stored.
Prompt and response collection is off by default. Enabling it requires an explicit administrator choice.
Review what happened, which rule applied and who owns the next step. Export evidence for internal reviews and audits.
Pilot on a small set of devices, review the inventory and controls, then expand through your fleet tooling. Add cloud accounts and SDKs as your coverage grows.
Published checks for tools, accounts and device posture. Availability varies.
Explore the signalsDeploy through existing tools such as Intune, Jamf and SCCM.
See deployment optionsPrompt and response collection stays off unless an administrator enables it.
Understand data handlingEnrol devices individually or deploy through tools such as Intune, Jamf and SCCM.
Use the hosted platform or arrange self-hosting.
As of October 2026. 3 opportunities per pipeline partner on average, each an account of 1,000 or more devices.
What EndLayer can help you see, decide and control—and where coverage matters.
Explore the full platform ↗EndLayer discovers supported AI apps, coding agents, local models, browser AI and MCP connections on enrolled devices. It identifies work, personal or unknown account context and credential presence. Secret values are removed from discovery evidence. See discovery coverage ↗
See declared MCP and repository access, account context and configured autonomy. Use these signals together to investigate risky setups, such as a coding agent operating unattended against a corporate repository. Declared access describes configuration; it is not proof that every resource was accessed. Explore access and agent signals ↗
Available records connect token usage and cost to people, tools, models, projects and devices. Use that attribution to investigate consumption across the fleet. Coverage depends on the records each source provides; subscription invoices and unpriced usage are not automatically a complete company AI bill. Explore usage and cost attribution ↗
EndLayer provides usage and cost evidence for investigation and ROI reviews. Higher consumption alone does not prove waste. Compare it with outcomes such as time saved, work completed or business value. Usage data supports that assessment; it does not by itself establish ROI or prove token waste.
Local guardrails can warn, redact or block supported AI interactions according to company policy. Coverage depends on the tool, environment and control. Discovery evidence also removes sensitive values before storage; that is separate from enforcement on an AI request. Review enforcement coverage ↗
EndLayer can identify unapproved tools and apply controls to supported AI interactions. Blocking a request, preventing an application from launching and uninstalling it are different actions. Confirm the required app and operating-system coverage for launch prevention; removal of an installed app requires an administrator. Check tool and control coverage ↗
Apply versioned rules across enrolled devices and use the supported allow, warn, redact, block or approval controls appropriate to the interaction. This lets you define boundaries for approved use. The platform also shows reporting status so a silent device is not mistaken for a compliant one. Explore policy and fleet controls ↗
A finding stays connected to its evidence, policy version, owner and remediation status. Decision history and evidence exports support reviews and audits; integrations can carry findings into ticketing, SIEM and other workflows. These records support compliance work, rather than guarantee compliance. Explore records and evidence export ↗
Discovery reports bounded device, tool, account and usage context. Credential values are discarded on the device, and source-code contents are not collected. Prompt and response collection is off by default and requires an explicit administrator choice. Review the collection boundaries before rollout. Read the data boundaries ↗
Start with a device pilot or deploy through fleet tooling such as Intune, Jamf or SCCM. Connect cloud accounts and application SDKs as needed. The hosted console is the default; self-hosting is available by arrangement. The platform page explains deployment paths and supported environments. Explore deployment options ↗
See the Guardian Agent Platform on your own fleet. Find every AI tool, understand what it reaches and costs, and apply the controls your team needs.
