Keep your secrets out of AI.
Kavara detects sensitive data the moment it's typed into ChatGPT, Claude, or any AI tool. It tokenizes that data before the browser sends anything. Nothing raw ever reaches our servers.
Live pilot in minutes · No raw data stored
Sensitive spans are tokenized before they ever leave the browser.
Your team already pastes secrets into AI. You just can't see it.
Customer names, API keys, card numbers, source code — typed into ChatGPT and Claude every day, on personal accounts, outside every tool you've bought. Network DLP and CASBs were built for a world where sensitive data moved between servers.
This one moves through a text box.
Inspects traffic to sanctioned SaaS apps on the corporate network.
Reads the prompt in the browser, before it's encrypted or sent anywhere.
Blind the moment someone opens a personal ChatGPT or Claude account.
Covers personal and work accounts on the same device — no "sanctioned app" assumption.
Can't see inside a TLS-encrypted prompt — only that a connection happened.
Detects and tokenizes sensitive spans at the moment they're typed.
Finds out after the fact, if at all. A log, not a save.
Prevents the leak outright — the AI tool never receives the raw value.
Shadow AI, turned into a chart you can act on.
Every tokenization event rolls up into one view: which tools your org actually uses, what kind of data shows up, and how often — by category and count, never by content. What used to be invisible is now a dashboard.
Detect. Tokenize. See.
Three steps, all before a single sensitive character leaves the browser.
- 01
Detect
On-device detectors read the prompt as it's typed and flag secrets, PII, credentials, and sensitive context — in the browser, before anything is sent.
- 02
Tokenize
Each sensitive span is swapped for a reversible token. The AI tool receives a clean prompt; the real values never cross the boundary.
- 03
See
Your dashboard shows exactly what's being shared, with which tool, by category — never the raw content. Shadow AI becomes a chart you can act on.
Everything you need to govern AI use — without becoming the bottleneck.
Detection, tokenization, visibility, and enforcement that ship as one browser-native layer.
On-device detection
Detection runs in the browser, as it's typed. Nothing leaves the device to decide what's sensitive.
- Emails, names & PII
- API keys, tokens & secrets
- Payment cards & financials
- Source code & internal identifiers
Reversible tokenization
Sensitive spans become tokens like [API_KEY·1] before the prompt leaves the page. The response rehydrates locally. The workflow doesn't break.
- Clean prompt leaves the browser
- Answers come back readable
- No copy-paste gymnastics
Shadow-AI visibility
See which AI tools your org actually uses and what kinds of data they touch — as aggregate insight, never per-employee surveillance.
- Usage by tool & department
- Intent & data-type signals
- Aggregate-first, never raw prompts
Progressive enforcement
Start in Monitor to learn what's happening. Move to Warn, then Block, on your own timeline. Roll out trust, not friction.
- Monitor → Warn → Block
- Per-tool and per-category rules
- Change anytime from the dashboard
Self-serve rollout
Generate an activation code, share it with a team, done. No MDM required to pilot — and full Chrome Enterprise / MDM deployment when you scale.
- Live in minutes, not quarters
- Enrollment codes for pilots
- MDM & managed install for fleets
Audit & accountability
Every policy change is written to an append-only log: who changed what, when. The record a CISO needs, without storing anything sensitive.
- Append-only by design
- Who / what / when
- Export for compliance reviews
Roll out trust, not friction.
Start by watching. Tighten on your own timeline. Kavara meets your org where it is — per tool, per category, changeable anytime.
Watch quietly, change nothing.
Kavara observes and reports without ever interrupting an employee. You get a true picture of Shadow AI before you touch a single workflow.
A gentle nudge at the moment it matters.
When something sensitive is about to be sent, the employee sees a quiet heads-up and decides. Awareness, right where the risk is.
Hard stop on the things that matter most.
For your highest-risk categories, tokenize automatically or stop the send outright. Enforcement that's precise, not blanket.
The safest place to store a secret is nowhere.
Kavara's database has no column for raw values. We persist a category and a count — never your prompts, responses, or secrets. A breach of Kavara would tell an attacker nothing about your data.
{
"id": "evt_8Kf…",
"tenant": "acme",
"tool": "chatgpt",
"category": "API_KEY",
"count": 1,
"action": "tokenized",
"raw_value": — never stored —
}Detection happens on-device. The value never reaches us.
Common questions.
How is this different from Nightfall or other cloud DLP tools?
Cloud DLP inspects traffic after it reaches a proxy or API — which means the raw prompt has to leave the browser (and often the country) before anyone decides whether it's sensitive. Kavara makes that call on-device, before the request is ever sent, so there's no raw payload in transit for a cloud scanner to see or store in the first place.
Does Kavara read or store our prompts?
No. Detection happens in the browser, and our database has no field for raw prompts, responses, or secrets. We persist a category and a count — never the content itself.
Will it slow my team down?
Tokenization happens locally and the AI tool still gets a usable prompt, so the workflow is unchanged. Most teams start in Monitor mode, which is completely invisible to employees.
Which AI tools and browsers are supported?
Kavara covers ChatGPT, Claude, Gemini, Copilot, Perplexity, Mistral, Grok and more — 11+ assistants out of the box — and runs on Chrome, Edge, and Brave. New tools are added regularly.
See your Shadow AI this afternoon.
Generate an enrollment code, share it with a team, and watch the picture fill in — with nothing sensitive ever leaving the browser.