AI governance, built around people

Use AI freely.
Keep every
secret.

Aegis is an AI governance layer that lifts sensitive data out of every prompt, on the device, before a single word leaves. Your people move fast. Nothing private moves with them.

New prompt
AEGIS · ON
Send the diligence pack to Sarah Chen on Project Atlas, wire $4.2M to acct 0142-99817 before Friday.
Removed locally0 fields kept private

Security that guards the people, not just the perimeter.

Your team already trusts AI with the real work. Aegis makes that trust safe by default, quietly, on every device, with no security org to run it.

0%

of employees use consumer AI tools regardless of company policy.

0%

of companies have zero visibility into any of it.

Employee first

It runs in the background, unseen. No blocking, no friction, no waiting on IT. People keep working, and the risk simply falls away.

Nothing leaves

Sensitive data is found and removed on the device, before the request even takes shape. We don't guard your secrets in transit. We make sure they never travel.

No IT required

No endpoint agents, no network gateways, nothing to configure. Built for the teams who need governance most, and have the least to run it with.

Four quiet steps. Milliseconds. All on the device.

A local layer sits between your people and every AI tool they touch. It never sends your words home.

Capture

Aegis catches the prompt the moment before it leaves, at the surface itself, never on a server. The request has not yet drawn breath.

On-device interception, before the network

Classify

A layered engine reads the text in a blink. Patterns first, then a local model for names and meaning, then the rules that are yours alone.

Pattern, on-device model, your policy

Redact

Every sensitive trace is rewritten in place as a clean token. The AI still answers in full. Your people barely notice it happened.

In-place tokens, like [PERSON] and [AMOUNT]

Attest

Only the shape of the event is kept. What, when, what was done, encrypted to your own cloud under your own key. The words are never ours to hold.

Metadata-only audit, keys held by you

One layer. Every surface.

Wherever your data tries to slip away, a chat box, a file, a desktop app, an agent working alone, the same quiet layer holds. Watch it work.

Assistant, web chat
Intercepting at submit
Loop Sarah Chen in on the Northwind raise, the $4.2M goes to acct 0142-99817, close by Friday.
prompt ready, sanitized
Uploading to assistant
Scanning before transfer
Q3_Cap_Table.xlsx
2.4 MB, 3 sensitive fields found
Lead investorli@partner.vc
Wire destination0142-99817
Post-money$18.0M
Desktop app, channel message
Caught in the native client
Summarize the offer for Marcus Hale with the AI bot, SSN 402-19-0098, base $310k, start date pending.
#offers, message sanitized
Autonomous agent, API call
Payload-level enforcement
Agent
finance-reconciler
Aegis
policy gate
LLM API
api.anthropic.com
"task": "reconcile invoice",
"context": "from Goldman Sachs, $2.4M, 0142-99817"
● policy pass, payload sanitized
Works everywhere your people do

Every AI tool your team already opens.

Aegis sits one layer beneath the apps, so there is nothing to plug in and nothing to maintain. The moment your team picks up a new tool, it is already covered.

ChatGPT
Claude
Gemini
Microsoft 365
Perplexity
Slack
Notion
Cursor
Grok
Mistral
Gmail
GitHub Copilot
No plugins, no per-app setup, one universal layer+ every surface your team adds next

What the admin sees, and what they never will.

Leaders get the proof, a living view of what was protected, where, and when. The sensitive words themselves are never captured, never stored, never ours to lose.

EGISConsole
Northwind LabsAK
0
Fields removed
+318 this week
0
Prompts protected
across 6 AI tools
0
Devices active
no agents installed
0
Handled on-device
0 sent to our servers
Audit logMetadata only, your key
TimeMemberCategorySurfaceAction
14:02:31M. Hale[ACCOUNT]Web chat✓ Redacted
14:01:58S. Chen[PERSON]File upload✓ Redacted
13:59:12R. Okoye[AMOUNT]Desktop app✓ Redacted
13:57:40finance-reconciler[ORG]Agent API✓ Redacted
13:55:03J. Park[SSN]Web chat✓ Redacted
Aegis records that something sensitive was handled, never the content itself. Every entry is encrypted to your own cloud, under your own key.

Built for the next hand to touch your data, human or not.

Today a person pastes a contract into a chat box. Tomorrow an agent moves the same data at machine speed, with no pause, no judgment, no one watching. Aegis governs the payload, not the person, so the layer holds whoever is sending.

TodayPeople, protected where they already work.
NextAgents, governed at every call they make.
The layerOne policy for every AI moment in the company.
Questions, answered

The questions teams ask first.

If something is missing here, a quick demo is the fastest way to see it for real.

How is Aegis different from a firewall or DLP?

Firewalls and DLP watch the network and react once data is already in motion. Aegis works at the surface, on the device, lifting sensitive values out before the request is ever formed — so there is nothing left to catch downstream.

What actually leaves the device?

Only the sanitized prompt, with sensitive values already rewritten as clean tokens like [PERSON] or [AMOUNT]. The original values never travel and are never sent to us.

Do I need to install agents or involve IT?

No endpoint agents, no network gateways, nothing to configure. Aegis is built for the teams who need governance most and have the least to run it with.

Which AI tools does it cover?

Every surface your people touch — web chats, desktop apps, file uploads, and autonomous agents — across tools like ChatGPT, Claude, Gemini, and Copilot, plus whatever your team adopts next.

What can an admin actually see?

A living view of what was protected, where, and when — metadata only. The sensitive words themselves are never captured, never stored, and never ours to lose.

Is the original sensitive data ever stored?

No. Aegis records that something sensitive was handled, never the content. Every entry is encrypted to your own cloud, under your own key.

Will it slow my team down?

It runs in milliseconds, in the background. The AI still answers in full, and your people barely notice it happened.

How do we get started?

Request a demo and we will show Aegis on your stack. We are early, building with care, and talking to the teams who feel this today.

Get in touch

See Aegis on your stack.

We are early, building with care, and talking to the teams who feel this today. If that is you, we would love to show you.