Loss prevention through Purview, so that sensitive data stops leaving by routes nobody intended.
This stops data leaving, whether somebody meant it to or not. A Social Security number typed into an email. Patient records uploaded to a consumer cloud account. Source code sent to a personal address. Financial data shared with somebody outside. We deploy Purview loss prevention across mail, the Microsoft applications, the endpoints themselves and your other subscription software, with policies tuned to whichever regulations actually apply to you, whether HIPAA, GLBA, NYDFS Part 500, PCI, or the state privacy laws. Delivered remotely.

- Purview DLPNative Microsoft platform
- Email + endpointMulti-channel coverage
- US-tunedHIPAA, GLBA, CCPA context
- TunedLow false-positive rate
Six channels DLP monitors and controls.
Email DLP
Outbound email scanned for sensitive patterns: payment card numbers, Social Security numbers, patient identifiers, financial figures, source code. Block, encrypt, or warn based on policy. Email is the most common data-leakage vector.
M365 apps DLP (SharePoint, OneDrive, Teams)
Sensitive files sitting in SharePoint and OneDrive either flagged or prevented from being shared outside. Teams messages and the files inside them scanned. Notifications when something goes external. Labels inherited properly rather than lost along the way.
Endpoint DLP
Purview Endpoint DLP watches sensitive data being copied to USB, printed, uploaded through the browser to consumer cloud services, pasted to unallowed destinations, or accessed by restricted apps. Block or warn based on policy, with the device onboarding piggybacking on Defender for Endpoint.
SaaS app DLP
The cloud application controls extend this out to software from other vendors, covering Salesforce, Box, Dropbox, Google Workspace, ServiceNow and Slack. Sensitive data being uploaded, downloaded or shared all gets flagged.
Sensitivity labeling
Labels applied by hand and applied automatically, running from public through confidential to highly confidential. Each label travels with the document itself, carrying the encryption, the watermark and the access restrictions with it. Classification handled automatically through Purview.
Insider risk monitoring
The insider risk side detects the behavior patterns that matter: somebody hoarding data, access that looks unlike them, and the pattern that appears when a person has already decided to leave. There is an investigation workflow so HR and security can work the same case together rather than separately.
Four reasons clients pick our DLP work.
US-regulation-tuned policies
Purview ships built-in sensitive information types for the identifiers US policies turn on: Social Security numbers, ITINs, ABA routing numbers, US bank account and driver's license numbers, and payment card data. We map those to your actual obligations, HIPAA for patient data, GLBA and FTC Safeguards for customer financial data, PCI DSS for card scope, CCPA/CPRA and state privacy laws for consumer personal information, so the policy reflects what your regulators actually ask about.
Low false-positive operating model
This fails when the noise buries the team. Every policy gets piloted before it enforces anything, the thresholds get tuned, the patterns known to be fine get suppressed, and people are educated before anything starts blocking them outright. What you end up with are alerts that mean something and blocks that were warranted.
Integrated with Sentinel and security operations
The alerts feed into Sentinel like everything else. Analysts triage them inside the agreed response time. False positives loop back into tuning the policy rather than being ignored. This becomes part of how security actually operates rather than a parallel system nobody opens.
Phased rollout: detect, warn, block
These rollouts succeed in three phases and fail when anybody skips one. First watch only, establishing what is actually happening. Then warn people, educating without blocking anything. Then enforce. The sequencing is deliberate so that nobody has their work interrupted on the first morning.
Six business profiles where DLP is essential.
Financial services
Customer financial data, transaction records, KYC documents. GLBA, FTC Safeguards and NYDFS Part 500 data-handling controls.
Healthcare
Patient records, medical history, clinical data. HIPAA Privacy and Security Rule safeguards, state health privacy laws.
Retail (PCI scope)
Card data, customer records and transaction logs. Reducing what falls inside PCI scope in the first place.
Professional services
Confidential client documents, deal material and intellectual property. Reducing exposure both to business email compromise and to somebody sharing the wrong thing by accident.
Manufacturing
Proprietary designs, formulations, customer lists. IP protection from insider exfiltration, CMMC where defense contracts apply.
Education
Student records, exam content, research data. FERPA data-handling, state privacy law alignment.
Four DLP platforms / approaches.
| Feature | Microsoft Purview DLP | Symantec DLP / DLP-only vendor | Forcepoint DLP | No DLP / ad-hoc rules |
|---|---|---|---|---|
M365 native (email, OneDrive, Teams) | Connectors | Connectors | Native to M365 | |
Endpoint DLP | Separate agent | Separate agent | ||
SaaS app coverage (CASB) | Add-on | Add-on | ||
Sensitivity labeling integration | Separate tool | Separate tool | ||
Insider Risk Management | Separate product | Separate product | ||
Single console for security operations | Multiple panes | Multiple panes | N/A | |
M365 license inclusion | E5 / Compliance add-on | Separate licensing | Separate licensing | None, high risk |
US-specific pattern tuning | Built-in SITs, configurable | Configurable | Configurable | No |
Four phases from policy design to enforced DLP in 8-12 weeks.
- 1
Sensitive data discovery and policy design
2-3 weeks
Workshops to identify sensitive data categories. Sample-data classification scan. Policy design: what to detect, what to do (audit, warn, block). Output: written DLP policy framework.
- 2
Monitor-only pilot
2-3 weeks
DLP policies deployed in audit-only mode. Real traffic monitored without user-facing impact. Baseline false-positive rate measured. Policies tuned before user-facing rollout.
- 3
Warn-mode rollout
2-3 weeks
User-facing warnings activated. Users see "this looks sensitive, are you sure?" prompts. User education campaign rolled out. Adoption and behavior change measured.
- 4
Block-mode and ongoing
2-3 weeks plus continuous
Block enforcement for highest-sensitivity policies. Continuous tuning. Quarterly review of false-positive rate. Annual policy refresh as the data landscape evolves.
What buyers ask before adopting.
Services that pair with DLP.
Book a DLP scoping call and get a phased rollout proposal in 5 days.
A scoping call covers your sensitive-data categories, current data-leakage risk, regulatory obligations, and enforcement appetite. Output: written DLP rollout proposal with phasing and policy framework.
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