DLP prevents accidental and intentional data leakage: credit card numbers in emails, PDPL-regulated personal data uploaded to consumer cloud, source code sent to personal accounts, financial data shared externally. We deploy Microsoft Purview DLP across email, M365 apps, endpoints, and SaaS apps, with policies tuned to your regulatory context (PDPL, DFSA, ADGM, DHA, NESA).

Outbound email scanned for sensitive patterns: credit card numbers, ID numbers, PDPL personal data, financial figures, source code. Block, encrypt, or warn based on policy. Email channel is the most common data-leakage vector.
Sensitive files in SharePoint and OneDrive flagged or restricted from external sharing. Teams messages and shared files scanned. External-sharing notifications. Sensitivity-label inheritance.
Defender for Endpoint scans for sensitive data being copied to USB, printed, uploaded to consumer cloud (Dropbox, Gmail, WhatsApp Web), screen-captured, or copied to unauthorised apps. Block or warn based on policy.
Microsoft Defender for Cloud Apps (formerly MCAS) extends DLP coverage to non-Microsoft SaaS: Salesforce, Box, Dropbox, Google Workspace, ServiceNow, Slack. Sensitive data uploads, downloads, and sharing flagged.
Manual and auto-applied sensitivity labels (Confidential, Highly Confidential, Public). Labels travel with documents: encryption, watermarks, access restrictions. AI-powered auto-classification with Purview.
Insider Risk Management (Purview) detects risky behaviour patterns: data hoarding, unusual access, departing-employee exfiltration. Investigations workflow for HR and security collaboration.
Generic DLP templates miss UAE-specific sensitive-data patterns: Emirates ID, UAE bank account formats, ADCB / Emirates NBD / FAB IBANs, DLD property reference numbers. We tune detection patterns to UAE context.
DLP fails when alert noise overwhelms the SOC. We pilot policies before enforcement, tune thresholds, suppress known-good patterns, and rotate user education before hard-blocking. End-state: alerts that matter, blocks that are warranted.
DLP alerts feed Microsoft Sentinel SIEM. SOC analysts triage within SLA. False-positive feedback loop back to policy tuning. DLP is part of the security operating model, not a parallel system nobody monitors.
DLP rollouts succeed in three phases: monitor-only (detect what is happening), warn users (educate without blocking), block (enforce). We sequence carefully so business operations are not disrupted on day one.
Customer financial data, transaction records, KYC documents. DFSA / ADGM data-handling controls.
Patient records, medical history, clinical data. DHA / DOH data-handling, PDPL alignment.
Payment card data, customer profiles, transaction logs. PCI DSS scope reduction via DLP.
Client confidential documents, M&A material, IP. BEC and accidental-share risk mitigation.
Proprietary designs, formulations, customer lists. IP protection from insider exfiltration.
Student records, exam content, research data. KHDA data-handling, PDPL alignment.
| 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 (Defender for Endpoint) | Separate agent | Separate agent | ||
SaaS app coverage (CASB) | Add-on | Add-on | ||
Sensitivity labelling integration | Separate tool | Separate tool | ||
Insider Risk Management | Separate product | Separate product | ||
Single console for SOC | Multiple panes | Multiple panes | N/A | |
M365 licence inclusion | E5 / Compliance | Separate licensing | Separate licensing | No cost, high risk |
UAE-specific pattern tuning | Configurable | Configurable | Configurable | No |
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.
2-3 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.
2-3 weeks
User-facing warnings activated. Users see "this looks sensitive, are you sure?" prompts. User education campaign rolled out. Adoption and behaviour change measured.
2-3 weeks plus continuous
Block enforcement for highest-sensitivity policies. Continuous tuning. Quarterly review of false-positive rate. Annual policy refresh as data landscape evolves.
“Our compliance team had been raising DLP as a gap for two years. We finally deployed Purview DLP across email, OneDrive, and endpoints. The monitor-only phase showed us 200+ accidental external shares of sensitive data per month, none of which we had visibility on before. Warning-mode reduced that to ~50 per month as users adjusted behaviour. Block-mode now stops the residual. Our annual compliance audit went smoother than the prior year.”
A scoping call covers your sensitive-data categories, current data-leakage risk, regulator obligations, enforcement appetite. Output: written DLP rollout proposal with phasing and policy framework.
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