Data Loss Prevention (DLP)

Know where your sensitive data lives, how it moves, and stop it leaving — without breaking how your business works.

Abstract data-flow visual representing data loss prevention controls

What it is

Data Loss Prevention is the discipline of discovering, classifying and controlling sensitive data — customer records, financial data, source code, intellectual property — across endpoints, email, cloud applications and the network. An enterprise-grade DLP program is not a single product: it is policy, data classification, endpoint agents, network inspection and cloud API controls working as one system.

Done well, DLP gives security leadership a defensible answer to the question every regulator, auditor and board eventually asks: where is our sensitive data, and what stops it from walking out the door?

The business case

Why enterprises need it

Regulatory exposure is now personal
India's DPDP Act, GDPR, PCI DSS and sector regulations (RBI, SEBI, HIPAA) all assume you can demonstrate control over sensitive data flows. A single uncontrolled channel — a personal Gmail upload, an unmanaged USB port — can turn an incident into a reportable breach.
Insider risk outpaces malware
Most data loss is not a sophisticated attack. It is a departing employee syncing a customer list to a personal drive, or a well-meaning team sharing a spreadsheet through an unsanctioned SaaS tool. DLP is the control that sees and stops both.
Badly-tuned DLP is worse than none
A DLP rollout that blocks legitimate work gets switched off within a quarter. The real engineering challenge is precision: policies that stop genuine exfiltration while staying invisible to everyday business.

Case study

The DLP rollout three partners couldn't land — and why we could

An enterprise client had engaged three implementation partners across two states to deliver a DLP program. Each attempt stalled the same way: policies looked correct in the DLP console, but in production data still leaked through specific channels, and legitimate workflows kept breaking.

The root cause was never the DLP tool's configuration alone. Several of the client's requirements depended on behaviour beneath the DLP layer — how Windows handled clipboard and print operations, how endpoint agents interacted with browser processes, and how traffic actually routed through the network — details a policy-only engagement never touches.

Cloud Armor's team diagnosed the gaps at the OS and networking level, adjusted the underlying Windows and network configuration alongside the DLP policy set, and validated every requirement against live user workflows. The result: a deployment that met the customer's full requirement list and stayed in enforcing mode — the outcome three prior attempts had not achieved.

Why it worked

Requirements that live below the security tool — in OS behaviour and network fundamentals — need engineers who work at that level. That depth is Cloud Armor's standard, not an escalation.

How we deliver

Cloud Armor's approach

Discovery before policy
We start with data discovery and classification — mapping where regulated and crown-jewel data actually lives — so policies are written against reality, not an org chart's assumptions.
Full-stack implementation, not console-only configuration
DLP behaviour is shaped by the operating system, browser, network path and identity layer underneath it. Our engineers work down the stack — Windows internals, proxy and TLS inspection paths, endpoint agent interplay — because that is where real-world deployments succeed or fail.
Phased enforcement with measured noise
Monitor-only first, then targeted blocking, with false-positive rates tracked as a first-class metric. Enforcement expands as confidence is earned, so the business never experiences DLP as an outage.
Handover with an operations runbook
We leave your team with tuned policies, incident-triage playbooks and integration into your SOC workflow — including Ayati One if we run managed detection for you.