Origin Technology

You approved the tools. You can’t see the work.

Origin captures AI activity at the endpoint and turns it into a record Security and IT can investigate. See the agents, prompts, files, and MCP servers creating risk, and the work behind each one.

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The Gap

Adoption has outpaced visibility.

Shadow AI is already running.

Employees are using AI tools, agents, and local models before security has a complete inventory of any of it.

Sensitive data is already moving.

A single prompt can trigger tool calls, file reads, API requests, and changes across a dozen systems, often with no one watching.

Vendor logs are not enough.

Most native logs stop at usage and spend. They miss the reasoning, tool calls, and files touched.

Governance requires evidence.

If you can’t reconstruct what an agent did, you can’t audit it, explain it to a regulator, or defend it to your board.

Enterprise teams uncover 3x more AI activity than their existing IT inventories show.

How It Works

Build your security operating model from the endpoint.

Origin turns fragmented AI activity into evidence you can act on.

See how it works→
Discover

See your AI attack surface.

Build a current view of the AI tools, agents, models, MCP servers on endpoints operating across the organization. See who is using them, what they can access, and where unapproved technology is creating exposure.

HostnameLast seenRegistered userInstalled AI agents
Amelias-MacBook-Air12:09 PMJul 29Amelia RossChatGPT Desktop+7 more
wkst-1112:04 PMJul 29devClaude Code+1 more
Lorenzo-A12:03 PMJul 29LORENZO-A\lorenzoClaude Code+1 more
Marcos-MacBook-Air12:01 PMJul 29Marco SilvaClaude Code
ELENA-SURFACE911:59 AMJul 29ELENA-SURFACE9\eklineAntigravity CLI+1 more
Amelias-Virtual-Machine11:57 AMJul 29Amelia RossClaude Code
DEV-HARBOR11:52 AMJul 29Ravi PatelAntigravity Desktop+1 more
Nadias-MacBook-Pro11:38 AMJul 29NadiaAntigravity CLI+1 more
Tobys-MacBook-Air11:29 AMJul 29Toby FennClaude Desktop
kites-MacBook-Pro11:20 AMJul 29kiteClaude Code
driftwood11:05 AMJul 29driftwood\martinAntigravity CLI+1 more
Detect

Surface activity that requires attention.

Continuously analyze AI activity for exposed credentials, sensitive files, destructive commands, and other patterns that may require investigation.

Credential material in pro…
Signal

Credential material in prompt or tool output

View definition

Flags API keys, tokens, private keys, and connection strings in prompt text. Values are redacted before tagging.

Fired602
/credential-materialsecurity.credscanbuilt-in
7/29 8:29 AM–11:59 PMTotal10
TimeRequestEndpointModel
11:59 AMJul 29Approving the execution of a database integration test before the release freeze.WREN-DESKcodex-auto-review
11:57 AMJul 29Approving a restart of the local orchestrator process to apply a config change.WREN-DESKcodex-auto-review
11:53 AMJul 29Requesting administrative permission to run an end-to-end suite outside the sandbox.WREN-DESKcodex-auto-review
11:17 AMJul 29Approving a code patch to improve error recovery in the browser worker.WREN-DESKcodex-auto-review
Investigate

Follow the evidence from prompt to action.

Reconstruct what happened with the exact prompt, the model’s reasoning, the tool call, the file it touched, the network call, and the resulting action.

ContextTrace Details
42 / 48

User cannot authenticate a deployment to AWS, and shares a .env snapshot to be checked for misconfigurations.

Clusterdeployment_credential_debugEndpointLenas-MacBook-ProModelclaude-sonnet-4-5
ContextX-RayTreeRaw
User · 1 block

Can you help me debug my deploy? It can't authenticate to AWS. Here's my .env.

AWS_ACCESS_KEY_ID=[REDACTED]AWS_SECRET_ACCESS_KEY=[REDACTED]DATABASE_PASSWORD=[REDACTED]
Assistant · 1 block

AWS_SECRET_ACCESS_KEY is a long-lived root key, and DATABASE_PASSWORD is inline.

Neither explains your failure. AWS_REGION is unset, and the SDK has no default.

Prove

Make AI governance defensible.

Keep a searchable record of AI activity and the evidence behind each investigation. Use role-based access to protect sensitive traces while giving teams the visibility they need.

Agent Code Review Requests

Agent Code Review Requests

Requests51.4K
Active endpoints42
Sessions3.6K
Positionyour place at each level of the drill · hover any cell to trace its branch
Clusters#1 of 74
Agent Code Review Requests
+73
Highest-volume descent
autoAgents3 distinct
anthropic
openai
microsoft
autoModels11 distinct
claude-opus-4-8
claude-sonnet-5
gpt-4o
m365-copilot
autoTools187 distinct
Bash
Read
Edit
Write
PowerShell
autoEndpoints18 distinct
Lenas-MacBook-Pro
WREN-DESK
Harbor-MBP
driftwood
Who It’s For

For the teams accountable for how AI is used.

For CISOs

Demonstrate oversight across the AI tools, agents, data, vendors, and endpoints operating throughout the organization.

For security leaders

Understand how AI is being used well enough to explain what happened and back it up with evidence.

For security engineers

Move from a security signal to the exact prompts, files, commands, tool calls, and endpoint activity behind it.

For IT leaders

Understand what AI is being used, what is approved, what it can reach, and where governance needs to scale.

Govern AI with evidence, not guesswork.

See how Origin helps security and IT teams discover, detect, investigate, and prove AI activity across the enterprise.

Request a demo →