Keep Your Sensitive Data From Walking Out the Door
Your customer PII, PHI, financials, source code, and IP leak out through email, cloud apps, USB drives — and now AI tools. Managed DLP discovers, classifies, monitors, and blocks it across every channel.
Sensitive Data Leaks Through Everyday Channels
Most data loss isn't a dramatic hack — it's ordinary work going sideways. The same channels your team uses every day are the ones your data leaves through.
A spreadsheet of customer records forwarded to the wrong address, or PHI sent unencrypted. Email is still the most common accidental-leak channel.
Cloud & SaaS
Files shared "anyone with the link," sync to personal Dropbox/Drive, and unsanctioned SaaS apps quietly move data outside your control.
Endpoints & USB
Confidential files copied to USB drives, personal laptops, or printed — the offline path that perimeter tools never see.
GenAI / Shadow AI
Employees paste source code, contracts, and customer data into ChatGPT, Copilot, and other AI tools — confidential data leaving in plain sight.
The New One: Shadow AI
Employees paste confidential data — source code, contracts, customer records, draft financials — into ChatGPT, Copilot, and dozens of other AI tools to get work done faster. It feels harmless and it's nearly invisible to traditional security. That data has now left your boundary, and you have no record it happened. Managed DLP is how you let your team use AI and keep your secrets in-house.
What Managed DLP Does
Four stages, run for you end-to-end — from finding where your data lives to stopping it leaving improperly.
Discover
Scan email, endpoints, cloud drives, and SaaS to find where sensitive data actually lives — PII, PHI, cardholder data, source code, and IP, including the copies nobody knew about.
Classify
Label data by sensitivity and regulation using built-in and custom classifiers, so policies act on what matters instead of flagging everything.
Monitor
Watch how classified data moves across every channel and surface risky behavior — oversharing, unusual exfiltration, and shadow-AI pastes — with alerts your team actually reviews.
Block
Enforce policy at the point of egress: warn, encrypt, or hard-block the risky action, tuned so legitimate work keeps flowing and only genuine leaks get stopped.
New to DLP? Read our plain-English guide to what DLP is and how to roll it out without breaking how your team works.
One Policy Set, Every Channel
DLP only works if it covers the way data actually leaves. We extend the same classification and policy across all of it.
Built on Tooling That Fits Your Stack
We're vendor-pragmatic. We match the DLP platform to where your data and your existing licenses already are — then deploy, tune, and run it.
Microsoft Purview DLP
Best for Microsoft 365 shopsNative DLP and data classification across Exchange, SharePoint, OneDrive, Teams, and endpoints — including Purview controls that govern what employees can paste into Microsoft Copilot. If you already run M365, this is the most cost-effective foundation.
Check Point Harmony Data / DLP
Endpoint + email + browserPart of the same Check Point stack behind our managed email and endpoint services — DLP across email, endpoints, and the browser, with controls aimed squarely at the GenAI data-leak path.
CASB & Cloud DLP
SaaS and multi-cloudA cloud access security broker extends DLP and shadow-IT discovery to the SaaS apps and cloud storage your team adopts faster than IT can track — closing the gap perimeter tools miss.
Already a customer of our managed email security or Microsoft 365 services? DLP slots into the same managed stack — same team, same console, one bill.
DLP Is How You Prove Data Protection
Every major framework expects controls that keep sensitive data from leaving improperly. DLP gives you the enforcement — and the audit-ready evidence.
HIPAA
PHI must be protected against impermissible disclosure — DLP enforces it on email, endpoints, and cloud.
PCI-DSS
Cardholder data has strict storage and transmission rules; DLP finds stray PAN data and blocks it leaving.
SOC 2
Confidentiality and privacy criteria expect controls that prevent unauthorized data movement.
GDPR
Personal data needs protection by design and by default — classification and DLP demonstrate it.
Running a broader program? See our compliance services — DLP is one control inside the full picture.
Frequently Asked Questions
What exactly is Data Loss Prevention (DLP)?
DLP is a set of controls that finds your sensitive data (customer PII, PHI, financials, source code, IP), classifies it by sensitivity, then monitors and controls how it moves — across email, endpoints, cloud storage, SaaS apps, and increasingly GenAI tools. Managed DLP means we deploy, tune, and run those controls for you instead of handing you a console.
How does DLP stop data leaking into ChatGPT and Copilot?
This is the fastest-growing leak channel — employees pasting confidential data into AI tools ("shadow AI"). DLP policies can detect sensitive content heading into AI prompts and browser uploads, then warn or block the action. Microsoft Purview governs what Copilot can surface, and endpoint/browser DLP covers third-party tools like ChatGPT. We tune these so AI stays useful without becoming an exfiltration path.
Will DLP block legitimate work and frustrate employees?
Only if it is rolled out badly. We start in monitor-only mode to learn how your data actually moves, tune policies to your real workflows, then phase in blocking on the highest-risk actions. Most policies warn or encrypt rather than hard-block, so people stay productive and only genuine leaks get stopped.
Which vendors do you use?
We match the tooling to your stack. Microsoft 365 shops usually start with Microsoft Purview DLP. We also deploy Check Point Harmony Data for email, endpoint, and browser DLP, and add a CASB / cloud-DLP layer for SaaS and multi-cloud environments. You get one managed service across whichever combination fits.
Do we need DLP for compliance?
HIPAA, PCI-DSS, SOC 2, and GDPR all expect controls that protect sensitive data from unauthorized disclosure. DLP is one of the clearest ways to demonstrate that PHI, cardholder data, and personal data are discovered, classified, and prevented from leaving improperly — with audit-ready logging.
How long does it take to roll out?
Discovery and classification can start within days, and monitor-only policies follow quickly. Moving to enforced blocking is deliberately phased over a few weeks so we can tune to your workflows. You see where your sensitive data lives early — often the most valuable finding of the engagement.
Find Out Where Your Data Is Leaking
Take the 2-minute Data Risk Check for an instant exposure score, or talk to a CISSP-led team about deploying managed DLP across your email, endpoints, cloud, and AI tools.