KASAH_

A privacy layer
between you and AI.

Kasah works in the background so sensitive information it detects in supported requests is protected when sent to ChatGPT.

Protected at send
Data protected0 items · protected for send
How it works

A small browser extension.
Automatic protection.

Works with ChatGPT's native interface.

Kasah uses the existing ChatGPT composer and response view instead of adding a separate chat UI. The Chrome extension and macOS desktop app apply protection to supported text and document requests at provider egress.

Catches what's sensitive in the moment.

When Kasah detects sensitive information, it replaces those values before the prompt is sent to ChatGPT. ChatGPT answers the protected version. When the response comes back, Kasah restores reversible values locally on confirmed read-only display surfaces.

Reads like a careful editor.

Kasah reads your prompt the way a careful editor would. It identifies names, financial figures, addresses, account identifiers, and the context-dependent content that simple pattern matching walks straight past. The Kasah Engine is built to catch the harder content too — and reversible values are restored from an encrypted local vault.

Less real data in. Less real data exposed.

Kasah's managed cloud privacy engine receives the original so it can produce protection operations. Reversible mappings are stored in an encrypted local vault and are not sent to ChatGPT. Detection can miss context-dependent sensitive data, so Kasah reduces what reaches the provider without claiming perfect coverage. Current provider handling is disclosed in Privacy.

Paste your NDA
Ask about your symptoms
Upload your cap table
Draft with client names
Analyze your contracts
Search your financials
Summarize your board deck
Brainstorm your product
...with less real data exposed.
Pricing

Private pilot.
Supported protection.

Manual access while production billing is finalized.

Pilot/ access
Approved account required
Request pilot access
What's included
  • 01AI-powered entity detectionNames, emails, financials, addresses — Kasah is designed to detect and protect sensitive data in context.
  • 02File redactionSupported text in PDF, DOCX, XLSX, PPTX, and CSV. Uninspectable embedded content is blocked.
  • 03Kill switchIf the supported protection path is unavailable, Kasah blocks that request instead of knowingly sending the unprocessed version. Detection can still miss sensitive content.
  • 04Restores on your deviceReversible values come from an encrypted local vault. Kasah's pilot telemetry schema is limited to named operational fields; current telemetry and provider limitations are disclosed in Privacy.
About

Why Kasah exists.

We have never been more careful with our data. We use VPNs, password managers, and two-factor authentication.

Then we open ChatGPT. We paste our salary, our medical history, and our contracts into a chat window built by people we have never met.

ChatGPT offers Data Controls, and its retention and training defaults differ between consumer and business plans. Users still need to decide which real details to disclose. Kasah adds a provider-egress privacy layer to reduce that disclosure while preserving the native ChatGPT interface.

Almost everyone we know self-edits before they paste into ChatGPT. The contract goes in with the name changed. The medical question goes in as "asking for a friend." The bank statement goes in with personal information blacked out. The legal question goes in framed as fiction.

Kasah is the layer that should have existed from day one. Before a prompt or supported document reaches ChatGPT, Kasah detects sensitive names, figures, and contract details and replaces detected values with realistic alternatives. The model answers the protected version, and Kasah restores reversible values locally. Detection can miss context-dependent sensitive data, so Kasah reduces disclosure risk rather than promising perfect coverage.

"We didn't spend years locking down our data just to hand it over to a chat window."

Founder · Kasah