Detect what other tools cannot see.
Prompt-injection attempts, source-code exfiltration, credential leakage, regulated data pasted into chat. On every outbound AI request and every response, before the agent processes it.
On-device · Vendor-agnostic
Endpoint security for the AI era.
Every prompt your team sends to ChatGPT, Claude, Cursor, or the dozen other AI tools they've installed is an egress event. Source code, customer records, contracts, and financials all leave the perimeter without ever touching a tool your security team controls. Offpath inspects every prompt on the device, before it leaves.
Your team sends thousands of prompts to AI providers every week. Your security stack sees none of them.The new egress channel that bypasses everything you already paid for.
The blind spot
Your security stack misses AI traffic.
Every employee with a laptop sends sensitive content into AI providers thousands of times a week. The tools that protected the previous decade do not see any of it.
EDR
Sees the process. Not the prompt.
CrowdStrike, SentinelOne, Microsoft Defender see processes and file events. They will tell you an AI client launched. They cannot tell you what your team typed into it.
DLP
Sees the inbox. Not the chat.
Existing data-loss-prevention products inspect email and managed file shares. AI chat interfaces aren't email and aren't managed files. The content slips by entirely.
SWG
Sees the corporate proxy. Not the wifi.
Secure web gateways break on the coffee-shop network, on the personal AI account, on a laptop that hasn't checked into the proxy in three weeks.
Product
AI traffic, in the security perimeter you already run.
Full coverage across the AI vendors and clients your team uses, with no per-vendor integration. Content stays on the device by default.
Vendor-independent.
The same product covers Anthropic, OpenAI, Google Vertex, AWS Bedrock, Azure, and local Ollama. No per-vendor integration.
Client-independent.
One product covers every AI client your team uses: Claude Desktop, Claude Code CLI, Claude Cowork, OpenAI Codex, ChatGPT Desktop, Aider, and Cursor.
Bypass-resistant.
Offpath doesn't depend on user cooperation, network location, or vendor account type. The corporate laptop, the coffee-shop wifi, and the personal Claude or ChatGPT account are all in scope.
Privacy-first.
Raw prompt and response content stays on the device. Flagged-event metadata is the only thing that reaches the control plane, and operator access to incident content is gated by a per-tenant key the customer's organization holds.
Invisible to the user.
Offpath stays out of the user's workflow until a detection fires. There's no browser extension to install, no prompt-time friction, and no review queue to clear.
Coverage
Built for the way your team actually uses AI.
Offpath covers the AI providers, AI clients, and operating systems your team uses. No per-vendor integration.
AI providers
Anthropic · OpenAI · Google Vertex · AWS Bedrock · Azure OpenAI · OpenRouter · local Ollama
AI clients
Claude Desktop · Claude Code CLI · Claude Cowork · OpenAI Codex · ChatGPT Desktop · Aider · Cursor · custom in-house agents
Operating systems
Linux today · macOS in development
How it works
Inline on every device.
The Offpath Sensor sits between your team and the AI providers they use. One agent per device, one control plane per tenant. Raw content stays on the machine; only flagged events reach the operator surface.
Trust
Privacy-first, by architecture.
The data we inspect is, by definition, your most sensitive. The commitments below are built into the system, not written into a policy document.
Content stays on the device.
Raw prompt and response content is processed locally and discarded. Only flagged-event metadata reaches the control plane.
Operator access is gated.
An operator who needs incident content has to unwrap it with a key the customer's organization holds. Offpath cannot decrypt unilaterally.
Audit log the customer owns.
Every operator content-access request is recorded in a per-tenant audit log that exports to the customer's compliance pipeline.
Day-one regulatory posture.
GDPR, HIPAA, and works-council disclosure flows supported on Day 1. Per-tenant data residency in US or EU.
About
Offpath AI, Inc.
We build endpoint security for the new class of AI traffic the existing stack does not see.
Offpath AI, Inc. applies the architectural posture EDR and DLP brought to the previous decade, vendor-independent and bypass-resistant, to a new category of egress traffic.
Our customers are security teams at companies where employees across engineering, sales, legal, and operations use AI tools every day, and where source code, customer data, contracts, and credentials can leave the perimeter through a chat interface.
Bring AI traffic into your security perimeter.
Get a walkthrough of the product, or send a security review request. Same address.