security
About

AI freedom,
without the risk.

Names
never leave.

Olo Security is a real-time AI governance layer for generative AI & agentic tooling that classifies and redacts sensitive data in enterprises, designed to prevent shadow AI. Nothing sensitive leaves your device.

OUR THESIS

AI will reshape how knowledge work is executed. However, the data required to do so contains proprietary and sensitive information. Privacy is a right, and it is critical that AI gives people a way to hold it.

One in five enterprise data breaches 20% of breaches traced back to shadow AIIBM · COST OF A DATA BREACH 2025this year were caused by irresponsible use of internal AI tools. Currently, companies defend against this in one of two ways: block it or surveil it. But both fail, and what emerges is shadow AI: today, 78% of employees 78% of AI users bring their own AI to workMICROSOFT & LINKEDIN · WORK TREND INDEXwho use AI at work bring their own unapproved tools. + HUNDREDS MORE

The only data you can promise is private, is the data that was never sent.

At Olo, we approach this differently. We don’t want to add additional friction to your workflow. Instead, we work native, on-device, and alongside human behavior instead of against it, protecting data where it’s born.

It’s clear that an agent to agent future is imminent, but in order for that to happen in enterprises, it’s critical that the correct infrastructure is developed. Olo is building the trust layer between people, their machines, and the AI that sits between them. It will define how an entire generation of work stays private.

Caught the instant
before it's sent.

claude.ai/new
Evening, Alex
Claude Fable 5 ▾
Claude can make mistakes. Please double-check responses.
reading on device…

As the prompt is typed, a local model reads along and rewrites each sensitive span as a token. You see your own words.

The provider sees
placeholders only.

DROP A FILE
offer_letter_priya.pdf
offer_letter_priya.pdf
Dear Priya Sharma,
We are pleased to offer you the role of Senior
Analyst at a salary of $185,000 per year.
SSN 545-81-2210 · Start date March 3.
REDACT
REPLY·REHYDRATED ON DEVICE
[NAME] is offered the Senior Analyst role at [AMOUNT], starting March 3.

Works across text input, files, and code. The same request, with zero sensitive bytes in it. Tokens are restored locally when the answer comes back.

Every app,
not just the browser.

Acme Co · Slack
Acme Co ▾
Channels
# general
# offers
# eng
# offers12 members
KL
Kim L.11:38 AM
offer docs are ready for review
Aa
reading on device…

Chat, editors, notetakers, docs: the same layer sits inside each one, and the message is cleaned before it leaves the machine.

Agents send
what no one reviews.

Terminal · zsh · 80×24
ops@workstation ~ %
agent composing request → api.anthropic.com
payload: { "context": "from [ORG] , [AMOUNT] , acct [ACCOUNT]" }
olo 3 spans rewritten · policy pass · 0 sensitive bytes out
→ 200 OK · response restored locally

Autonomous pipelines are gated the same way, at the device edge, on every surface.

For teams: policy,
without surveillance.

console.olo.security
Overview
Surfaces
Policies
Activity
Team
Aadmin@acme.co
Governance overviewlive
REQUESTS PROTECTED
0
STRICTNESS
Balanced
0 SENSITIVE BYTES OUT
SPANS REDACTED3,204 · 24H
SURFACESSEATS
ChatGPT142
Slack AI97
Cursor63
MCP18
TRACESLATENCY
trace_20c4f7[NAME][AMOUNT][ACCOUNT]347 msnow
REQUESTChatGPT · 3 spans rewritten · policy pass
CONTENTnever recorded or stored
trace_8f2c1a[NAME][AMOUNT]412 ms2m
trace_47b0e9[SSN][ACCOUNT]6 m18m
all AI in use, in one place

See all AI in use in one place, no piecing it together, with a record of every request: spans redacted, surface, latency. Safe to keep, because the record holds metadata. Never the content.

Set the policy once,
it applies everywhere.

DROP POLICY HERE ↓acme-policy-v7.yaml
Legal · Nexford matter
External AI tools·
Client identifiers·
Settlement figures·
Finance
External AI tools·
Wire details·
Vendor names·

Approved tools, per-team strictness, and client-specific rules flow from one policy to every prompt and agent action. Change it once; every seat follows automatically.

One layer.
Every surface.

Olo isn't a plugin you install into each AI app. It's one layer on your device that every outgoing request crosses. Names, keys and numbers are swapped for tokens right there, before they can leave the machine.

Data leaves your device as tokens, so every AI sees placeholders only.

DETECT74 MB local model reads as you type
CLASSIFY4.5 ms median per span, on an Apple M5 Pro
REWRITEin place, before the wire