Data classification
Sensitive data discovered and labeled, so policies act on what matters.
Data, Identity & Privacy
Data Loss Prevention. Know when sensitive data tries to leave.
Your data does not walk out the front door, it leaves over email, to the cloud, onto a USB stick, into a chatbot. We watch the ways data exits and stop the sensitive things from going where they should not, without grinding the business to a halt.
Why DLP is hard
Data leaves your control in a hundred small ways, most of them by accident and most of them invisible. The challenge is not blocking everything, it is knowing what is sensitive and catching only the moves that matter. A DLP that cries wolf gets switched off, and a silent one protects nothing.
We design Data Loss Prevention that knows your data and fits how your people work. Sensitive information is classified, the exit channels are monitored, and the policies are tuned so genuine risks are caught while normal work flows. A new channel matters now too: data pasted into AI tools, which we watch alongside the traditional ones.
The exit channels
Every way data leaves
Data loss is rarely dramatic. It is a file emailed to a personal account, an upload to unsanctioned cloud, a paste into a chatbot. We cover the channels that matter.
Sensitive files sent outside, to personal accounts or wrong recipients.
MonitoredCloud & web
Uploads to unsanctioned storage and web apps outside your control.
MonitoredEndpoint & USB
Copies to removable media and local channels on the device.
ControlledAI tools
Sensitive data pasted into chatbots and assistants, the newest leak path.
WatchedPrinting
Hard copies of sensitive material, an old channel still in use.
ControlledCollaboration
Oversharing in chat and shared drives, beyond who should see it.
MonitoredThe flow
One week of data movement, by channel
This is what tuned DLP looks like: thousands of moves flow untouched, a few dozen get a word, and a handful get a wall.
Sensitive-data egress · 7 daysIllustrativeAllowedCoachedEncryptedBlocked
Collaboration1,492 moves
1,47018 coached4 blocked
Email1,204 moves
1,15631 coached12 encrypted5 blocked
Cloud & web upload868 moves
82228 coached14 encrypted4 blocked
AI tools312 pastes
28124 coached7 blocked
Endpoint & USB64 moves
389 coached14 encrypted3 blocked
Print22 jobs
193 coached
Three of the twenty-three blocks, with their stories
payroll_q2.xlsx
Finance, to a personal mailbox. A wrong autocomplete, caught by the prompt. The sender cancelled it themselves. No incident, one relieved human.
customers_export.csv
Contractor, to an unsanctioned drive. Hard block, data owner notified, and the account handed to identity threat detection for review. This one was a case, not a slip.
paste · api key
Engineering, into a public chatbot. Blocked at the paste, the key rotated within the hour, and the team got the sixty-second lesson on the exact mistake.
Twenty-three blocks in a week of 3,962 sensitive moves. That ratio is the design: a control that almost never says no is a control people leave switched on, and the few times it speaks, it is right.
How we build it
Classify, monitor, tune
DLP succeeds or fails on tuning. We build it to catch the real risks and stay quiet on normal work.
01
Classify
Find and label the data that actually matters, so policy protects the sensitive, not everything.
02
Monitor & enforce
Watch the exit channels and apply policy: warn, block, or encrypt, matched to the risk.
03
Tune continuously
Cut the false positives so the controls earn trust and stay switched on.
What you get
Protection that people can live with
Channel coverage
Email, cloud, endpoint, AI tools, and print under one policy.
AI data controls
Watch for sensitive data heading into chatbots, the leak path most teams miss.
Tuned policies
Low-noise enforcement so the controls help rather than get in the way.
Compliance support
Evidence for GDPR, HIPAA, and PCI that sensitive data is controlled.
Incident response
A confirmed leak feeds the iTDC, so loss of data is handled like any incident.
Part of the loop
Where DLP sits in VIGILE
Classify and contain
Guard the data, Implement the controls
GuardData Loss PreventionImplement
DLP is the Guard and Implement motions for your data. We classify what matters and enforce policy on the exit channels, with confirmed losses feeding the iTDC so data leaving is caught and handled.
See Data Security Posture ›FAQ
Top 10 questions, frequently asked
It will if it is badly tuned, which is why so many DLP projects end up switched off. We invest in classification and tuning so the policies act on genuinely sensitive data and real risk, not every file movement. Most normal work flows untouched, and people get a clear prompt only when something actually matters.
Yes, and it is one of the fastest-growing leak paths. Sensitive data pasted into a public chatbot leaves your control entirely. We watch for it and apply policy, warning or blocking, so your teams can use AI tools without quietly handing them your confidential data.
Not all of it, and not before you start. We focus first on the data that carries real risk and regulatory weight, classify that, and protect it. Coverage expands from there. Trying to boil the ocean is how DLP programs stall, so we work from highest risk outward.
DLP watches data in motion, as it tries to leave. Data Security Posture Management, DSPM, looks at data at rest: where sensitive data lives, who can reach it, and whether it is exposed. They are complementary, and many clients run both for full coverage of their data risk.
Monitor-only mode produces a real picture of data movement within weeks. Enforcement turns on path by path once the noise is tuned out, so trust is never spent on false blocks.
Email, browser upload, SaaS sharing, endpoint transfer, and AI tools. Coverage rolls out in risk order rather than all at once.
The iTDC triages DLP signals like any other telemetry: AI correlates, a Security Analyst decides, and genuine incidents route to named owners with context.
A movement picture: where sensitive data flows, what was blocked or coached, and how exposure trends quarter over quarter. Evidence, not raw event counts.
By user count and channels in scope, usually as a managed service after a fixed-scope data movement assessment.
Guard sets the rules, Implement runs the enforcement and triage, and Learn tunes the policies from real events.
Keep your data where it belongs
Book a session with a Principal Engineer. We map how data leaves today and show you where the gaps are.