Data Security

Structured and unstructured data — the asset every other control exists to protect. Discovery, DLP implementation, DSPM, and continuous policy enforcement.

Common challenges

  • Unclear data classification and ownership
  • DLP rules that generate noise instead of signal
  • No DSPM — limited posture visibility across cloud stores
  • Overprivileged access to sensitive stores
  • No consistent encryption or retention policy
  • Sensitive data crossing boundaries without controls

Business risk

Data exposure is usually the headline outcome of a breach — and the hardest to fully remediate after the fact. Untuned DLP and absent DSPM mean risk you cannot measure.

How Mitigence helps

  1. 1Discovery — locate sensitive data across structured and unstructured stores
  2. 2Classification — define labels, handling policies, and ownership
  3. 3Data Flow Analysis — map movement, identify uncontrolled paths
  4. 4DLP Implementation — deploy and configure Data Loss Prevention controls
  5. 5DSPM — establish continuous data security posture management
  6. 6Access Review — reduce overprivileged access to sensitive stores
  7. 7Policy Fine-Tuning — optimise rules, reduce false positives, enforce continuously

DLP Implementation

Data Loss Prevention controls are only as effective as the policies behind them. Mitigence designs and implements DLP across endpoint, network, and cloud channels — with policies calibrated to your data classification framework rather than vendor defaults.

  • Endpoint DLP — block exfiltration via USB, print, and local transfer
  • Network DLP — inspect and control data in transit
  • Cloud DLP — protect data in SaaS and cloud storage environments
  • Policy fine-tuning — reduce alert fatigue, improve rule precision over time

DSPM — Data Security Posture Management

DSPM gives continuous visibility into your data security posture — where sensitive data lives, how it is protected, who can access it, and where posture has drifted from policy. Unlike point-in-time assessments, DSPM keeps your data risk picture current as environments change.

  • Discover and classify data across cloud, SaaS, and on-prem stores continuously
  • Identify misconfigured permissions, exposed buckets, and over-shared data
  • Track posture drift and remediate before it becomes a compliance gap
  • Feed findings into DLP and access governance workflows

Data Flow Analysis

Most organisations know where their sensitive data is stored. Few know where it goes. Data Flow Analysis maps how sensitive data moves — across internal systems, third-party services, APIs, and business processes — and identifies flows that violate policy, bypass controls, or create unacknowledged exposure.

  • Map data movement across systems, services, and third parties
  • Identify uncontrolled or unmonitored data paths
  • Validate flows against classification and handling policies
  • Surface regulatory exposure before an audit does
DF

Mitigence Product

DFAnalyzer

Data Flow Analysis has traditionally been a manual, time-intensive process — workshops, interviews, and spreadsheets that go stale the moment something changes. DFAnalyzer automates it.

  • Continuously maps data flows across your environment without manual effort
  • Validates flows in real time against your data security and DLP policies
  • Flags policy violations and newly detected flows as they emerge
  • Feeds actionable data into DSPM and compliance workflows

DFAnalyzer complements the full data security program — DLP keeps data in, DSPM keeps posture visible, and DFAnalyzer ensures the policies governing both stay accurate as your environment evolves.

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