Know your sensitive information, everywhere it goes.
VenusHawk understands your content once, right where it lives, then follows the information, not the container, as it’s copied, renamed, downloaded and handed to AI. Discovery, classification, lineage and posture, with your data never leaving your environment.
It sees straight through the disguise.
Renamed, zipped, relabelled: the tricks that beat other tools. Watch the Data agent reason through a live exfiltration attempt, condensed.
Your information never sits still.
It’s created once, then copied, renamed, downloaded and handed to tools you don’t control. Guarding the container is pointless when the information has already moved on.
It sprawls
One record becomes a hundred copies across cloud, endpoints, email and personal drives.
Labels get stripped
A copy is renamed, exported or reformatted, and whatever sensitivity tag it had is gone.
It leaves for AI
Sensitive content is pasted into consumer AI and unapproved tools in seconds.
Understand it once. Follow it everywhere.
A proprietary classifier reads and understands your content where it lives, labelling the information, not the container, so the classification travels with it.
Deep discovery
Scan cloud, SaaS, endpoints, email, code and legacy stores to find where sensitive information actually lives.
Content-aware classification
PII, PHI, financial records, secrets, contracts and source data, understood in context, not by regex alone.
In-place understanding
A proprietary, native classifier reads content inside your environment. Only minimal derived metadata leaves.
Sensitivity scoring
Every item ranked by how sensitive it is and what exposure would actually mean.
One record. Six containers. Never lost.
The same information rarely stays put. Watch a single patient cohort travel across your world, downloaded, converted, copied, dumped and finally sent outside, with a card at every movement. VenusHawk follows the information, not the container.
A data analyst pulled a patient cohort from the electronic health record.
TrackedTaken offline for analysis, beyond the cloud’s view.
TrackedSaved as a report; the sensitivity label didn’t travel with it.
TrackedCopied as ‘analysis-v2’, no label, no obvious owner.
TrackedDropped into a legacy store nobody was watching.
TrackedEmailed to a personal address and pasted into a consumer AI.
TrackedSix hops: a cloud record became a laptop download, a PDF, a copy, a legacy dump, and finally something outside the company. The container changed every single time; the information never did. VenusHawk followed it through all six, and steps in the moment it tries to leave.
Every kind of person moves data differently.
The way sensitive information leaks depends on who’s holding it. Pick a role and watch a real path play out across multiple surfaces. VenusHawk follows the data through all of it and sees the whole story as one.
Developer, ships fast, moves data faster.
Clones the production database to a laptop
Pushes a .env with live keys to a public repo
Pastes a stack trace full of customer PII into a chatbot
Three separate tools would each catch one move, and none would connect the secret, the dump and the paste.
We see one developer across three surfaces as a single story, and cut it off before the keys are ever used.
Sales rep, on the way out, with the pipeline.
Exports the entire CRM customer list
Saves it to a personal cloud drive
Forwards it to a personal inbox before resigning
A CRM export, a download and an email each look normal to the tool that watches only that one surface.
We recognise the same customer records moving out across three surfaces and flag the exfiltration pattern.
Finance, board numbers on the move.
Downloads the quarterly board financials
Converts them into a PDF report
Shares the PDF over a personal WhatsApp Web chat
Convert the sheet to a PDF and most tools lose the label, the personal-chat share sails right through.
Fingerprinted at the source, the PDF is still the board financials to us, the share is caught in the moment.
Intern, over-permissioned and curious.
Exports an HR report of employee salaries
Pastes the salary table into a shared Notion page
Asks a public AI to ‘summarise this’
A screenshot and an AI prompt are invisible to tools that only watch documents and downloads.
We catch the salary data leaving at the browser, and flag that the intern had access it never needed.
CEO, taking the deal home for the weekend.
Opens the M&A due-diligence deck in the board data room
Copies it off the managed laptop onto a personal USB drive
Forwards a copy to a personal inbox as a backup
Each step looks like an executive working late, no single tool connects the data-room open, the USB copy and the personal forward.
We see the deck leave the data room, land on a USB and head for a personal inbox, and stop it at the last controlled surface, before it reaches an unmanaged device we can’t see.
Support agent, helpful, to a fault.
Exports a ticket log full of customer PII
Pastes chunks into a free online translation tool
CCs an outside vendor on the whole thread
Pasting into a random web tool is exactly the move that slips past traditional DLP.
We see the PII the instant it hits the browser and the external CC, and step in.
Understood in place. Your data never leaves.
Everyone else ships your data off to an AI to understand it. VenusHawk understands it in place, with its own proprietary intelligence, and lets only the thinnest sliver of derived metadata cross the line.
Higher-level reasoning runs on minimal, derived metadata only. The sensitive content itself is never sent.
Where it lives, how sensitive, who can reach it.
Posture that answers what boards and auditors actually ask, and shows the blast radius if any one item were exposed.
- Where it lives
- Every copy across cloud, SaaS, endpoint, email, code and legacy, mapped back to one record.
- How sensitive
- Each item scored by what exposure would mean, so the crown jewels rise to the top first.
- Who can reach it
- The people, apps and AI agents with an actual path to it.
- Blast radius
- Exactly what a single leak or breach would expose, shown before it ever happens.
- Misconfiguration & risk
- Over-shared links, public buckets, stale access and missing controls, ranked by the data behind them.
- Compliance mapping
- Every finding tied to the obligation it touches, DPDP, PDPL, and your own internal policy.
The moments that matter, caught early.
The instant sensitive information moves the wrong way, exported, pasted into AI, pulled at 3am or dumped from a legacy store, VenusHawk understands it and contains it, in real time.
Six surfaces. One story about your data.
The same brain behind every VenusHawk agent turns raw events into intelligence, correlated across surfaces, understood in behavioural context, and ranked by what actually puts the business at risk.
Correlate across surfaces
A leaked credential, an exported record and an odd login become one incident, not three unrelated alerts.
Understand behaviour
What’s normal for each person and system is learned, so the 3am pull and the bulk export stand out on their own.
Prioritise by real risk
Every signal rolls up to one question, what actually puts this business at risk, so the crown jewels come first.
Endpoint to on-prem. Browser to cloud.
The same information travels across all of these. VenusHawk follows the information, not the container, watching every surface, and plugging into the tools your teams already use.
Endpoint
Laptops and desktops where sensitive information is downloaded, opened offline and copied.
Browsers
The moment sensitive text is pasted into a consumer AI chat or an unapproved tab.
Network
Traffic in real time, flows to unknown destinations flagged as they happen.
Legacy & on-prem
The old ERP and shared drives nobody was watching, bulk dumps caught early.
Cloud & SaaS
Google Workspace, Microsoft 365, Salesforce, Slack and the rest of your stack.
AI tools & agents
Assistants, copilots and autonomous agents, what they see and what they can reach.
The connected world, VenusHawk plugs into the tools you already use











Understood in place. Followed everywhere.
Everyone else ships your data off to an AI to understand it. VenusHawk understands it where it lives, and never loses the thread.
- Understands, not matches
- Content read in context by a proprietary classifier, not regex, not keyword lists.
- Private by design
- Understood in place; only minimal derived metadata ever leaves your environment.
- Follows the information
- Classification travels with the information across every copy, rename and container.
- Native, not third-party
- Your content is never shipped to an external AI model to be understood.
- Sovereign & regulation-ready
- Control residency and retention; built to align with DPDP, PDPL and your policies.
- Part of the constellation
- Ties to AI Exposure, Dark Web and Network: “where it lives” becomes “who can reach it, and where it leaked.”
They work better together.
Every agent feeds the same brain. Findings here correlate with the rest of the constellation.
Bring this agent into your constellation.
VenusHawk is rolling out to lighthouse customers and design partners. Tell us a little about your environment and we’ll see how we can accommodate you.
