MyDLP vs OpenDLP vs Suricata: Best Self-Hosted DLP Solution 2026

Data Loss Prevention (DLP) is no longer optional for organizations handling sensitive data. Whether you’re protecting customer PII, financial records, intellectual property, or healthcare data, knowing where your information goes and who accesses it is critical. Commercial DLP suites from Symantec, McAfee, and Forcepoint can cost tens of thousands per year. But open-source alternatives offer real protection without the price tag.

In this guide, we compare three self-hosted DLP approaches: MyDLP (a full-featured enterprise DLP platform), OpenDLP (agent-based data discovery and classification), and Suricata (network-based DLP through IDS rule matching). Each serves a different layer of the DLP stack — endpoint, discovery, and network — and we’ll show you exactly how to deploy and configure all three.

Why Self-Host DLP?

Self-hosting your DLP infrastructure gives you several advantages over cloud-based solutions:

• Data never leaves your infrastructure — DLP systems inspect sensitive content. Keeping inspection engines on-premises eliminates the risk of exposing confidential data to third-party vendors.
• Full rule customization — unlike SaaS DLP with fixed rule sets, self-hosted tools let you write custom regex patterns, keyword lists, and contextual rules specific to your business.
• No per-user licensing — commercial DLP charges per endpoint or per user. Open-source tools scale to unlimited endpoints at the cost of your hardware.
• Audit compliance — for HIPAA, PCI-DSS, and GDPR, demonstrating that data inspection occurs within your controlled infrastructure simplifies compliance audits.
• Integration flexibility — self-hosted DLP connects directly to your SIEM, log aggregation, and incident response tools without API limitations.

Overview of DLP Layers

A complete DLP strategy covers three layers:

No single tool covers all three layers effectively. That’s why many organizations deploy a combination. Below, we examine each tool in detail.

MyDLP — Full-Stack Self-Hosted DLP Platform

MyDLP is the most comprehensive open-source DLP solution available. It provides endpoint monitoring, network inspection, and data discovery in a unified platform. MyDLP uses content analysis engines that support keyword matching, regular expressions, file fingerprinting, and machine learning-based classification.

Key Features

• Endpoint agent — monitors file access, USB transfers, clipboard operations, and print jobs on Windows, Linux, and macOS
• Network inspection — integrates with proxy servers and email gateways to scan outbound traffic
• Document fingerprinting — creates unique fingerprints of sensitive documents to detect partial copies
• Centralized management console — web-based UI for policy creation, alert review, and reporting
• Compliance templates — pre-built policies for GDPR, HIPAA, PCI-DSS, and SOX
• Active Directory integration — syncs user and group policies from existing directory infrastructure

GitHub Stats

Docker Compose Deployment

MyDLP ships with Docker Compose support for the server components. Here’s a production-ready deployment:

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version: "3.8"

services:
  mydlp-server:
    image: mydlp/mydlp-server:latest
    container_name: mydlp-server
    restart: unless-stopped
    ports:
      - "8080:8080"
      - "8443:8443"
    environment:
      - MYDLP_DB_HOST=mydlp-db
      - MYDLP_DB_PORT=5432
      - MYDLP_DB_NAME=mydlp
      - MYDLP_DB_USER=mydlp
      - MYDLP_DB_PASSWORD=${MYDLP_DB_PASSWORD:-changeme}
      - MYDLP_LICENSE_SECRET=${MYDLP_LICENSE_SECRET}
    volumes:
      - mydlp-data:/var/lib/mydlp
      - /etc/mydlp/policies:/etc/mydlp/policies:ro
    depends_on:
      - mydlp-db
    networks:
      - mydlp-net

  mydlp-db:
    image: postgres:16-alpine
    container_name: mydlp-db
    restart: unless-stopped
    environment:
      - POSTGRES_DB=mydlp
      - POSTGRES_USER=mydlp
      - POSTGRES_PASSWORD=${MYDLP_DB_PASSWORD:-changeme}
    volumes:
      - postgres-data:/var/lib/postgresql/data
    networks:
      - mydlp-net

  mydlp-endpoint-manager:
    image: mydlp/mydlp-endpoint:latest
    container_name: mydlp-endpoint-mgr
    restart: unless-stopped
    ports:
      - "9090:9090"
    environment:
      - MYDLP_SERVER_URL=https://mydlp-server:8443
    depends_on:
      - mydlp-server
    networks:
      - mydlp-net

volumes:
  mydlp-data:
  postgres-data:

networks:
  mydlp-net:
    driver: bridge

Deploy with:

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export MYDLP_DB_PASSWORD=$(openssl rand -base64 32)
export MYDLP_LICENSE_SECRET=$(openssl rand -base64 32)
docker compose up -d

After deployment, access the management console at https://your-server:8443. The initial setup wizard will guide you through policy configuration and endpoint enrollment.

Custom DLP Rule Example

MyDLP rules are defined in XML. Here’s an example rule that detects credit card numbers in outbound emails:

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<rule name="Credit Card Detection" severity="high">
  <condition>
    <regex pattern="\b(?:\d{4}[-\s]?){3}\d{4}\b" />
    <context type="email" direction="outbound" />
  </condition>
  <action type="block">
    <notification template="cc_violation" />
    <log level="alert" />
  </action>
</rule>

OpenDLP — Agent-Based Data Discovery and Classification

OpenDLP is an agent-based DLP tool focused on discovering and classifying sensitive data at rest across your infrastructure. Unlike MyDLP’s real-time monitoring, OpenDLP performs periodic scans of file systems, databases, and cloud storage to identify where sensitive data resides.

Key Features

• Agent-based scanning — deploys lightweight agents to endpoints for deep file system inspection
• Database scanning — connects to MySQL, PostgreSQL, SQL Server, and Oracle to discover sensitive columns
• Classification engine — uses regex, checksum matching, and entropy analysis to classify data types
• Risk scoring — assigns risk scores to discovered data based on sensitivity, location, and access controls
• Reporting dashboard — generates compliance-ready reports showing where sensitive data exists
• Scheduled scanning — automated recurring scans to track data movement over time

GitHub Stats

Docker Compose Deployment

OpenDLP uses a server-agent architecture. The server coordinates scanning jobs while agents perform the actual data inspection:

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version: "3.8"

services:
  opendlp-server:
    image: opendlp/opendlp-server:latest
    container_name: opendlp-server
    restart: unless-stopped
    ports:
      - "443:443"
      - "8080:8080"
    environment:
      - OPEN_DLP_DB_TYPE=postgresql
      - OPEN_DLP_DB_HOST=opendlp-db
      - OPEN_DLP_DB_USER=opendlp
      - OPEN_DLP_DB_PASSWORD=${OPEN_DLP_DB_PASSWORD:-changeme}
      - OPEN_DLP_JWT_SECRET=${OPEN_DLP_JWT_SECRET:-changeme}
    volumes:
      - opendlp-config:/etc/opendlp
      - opendlp-reports:/var/lib/opendlp/reports
    depends_on:
      - opendlp-db
    networks:
      - opendlp-net

  opendlp-db:
    image: postgres:16-alpine
    container_name: opendlp-db
    restart: unless-stopped
    environment:
      - POSTGRES_DB=opendlp
      - POSTGRES_USER=opendlp
      - POSTGRES_PASSWORD=${OPEN_DLP_DB_PASSWORD:-changeme}
    volumes:
      - opendlp-db-data:/var/lib/postgresql/data
    networks:
      - opendlp-net

volumes:
  opendlp-config:
  opendlp-reports:
  opendlp-db-data:

networks:
  opendlp-net:
    driver: bridge

Deploy the server:

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export OPEN_DLP_DB_PASSWORD=$(openssl rand -base64 32)
export OPEN_DLP_JWT_SECRET=$(openssl rand -base64 32)
docker compose up -d

Then install agents on target systems:

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# Linux agent installation
curl -fsSL https://your-server:443/agent/linux/install.sh | sudo bash
sudo opendlp-agent register --server https://your-server:443 --token $AGENT_TOKEN

# Windows agent (PowerShell)
Invoke-WebRequest -Uri "https://your-server:443/agent/windows/Setup.exe" -OutFile "Setup.exe"
.\Setup.exe /S /SERVER=https://your-server:443 /TOKEN=$AGENT_TOKEN

Scan Configuration Example

Configure a file system scan via the OpenDLP API:

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curl -X POST https://your-server:443/api/v1/scans \
  -H "Authorization: Bearer $API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "PII Discovery Scan",
    "type": "filesystem",
    "targets": ["/data", "/home", "/var/www"],
    "patterns": [
      "ssn", "credit_card", "email", "phone_number",
      "passport_number", "drivers_license"
    ],
    "schedule": "0 2 * * 0",
    "exclude_paths": ["/tmp", "/var/cache"]
  }'

Suricata — Network-Based DLP with IDS Rules

While not traditionally classified as a DLP tool, Suricata is a powerful open-source IDS/IPS that can be configured for network-level data loss prevention. By writing custom rules that inspect packet payloads for sensitive data patterns, Suricata catches data exfiltration over the network that endpoint and discovery tools might miss.

Key Features

• Deep packet inspection — examines full packet payloads across all protocols (HTTP, SMTP, FTP, DNS, TLS)
• Multi-threaded performance — handles 10+ Gbps traffic with proper hardware tuning
• Custom DLP rules — write regex-based rules to detect SSNs, credit cards, custom keywords in transit
• TLS inspection — decrypt and inspect HTTPS traffic with managed certificates
• File extraction — extract and analyze files transferred over the network
• Eve JSON logging — structured JSON output integrates with any SIEM or log aggregation system

GitHub Stats

Docker Compose Deployment

Suricata’s Docker deployment with DLP rules:

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version: "3.8"

services:
  suricata:
    image: jasonish/suricata:latest
    container_name: suricata
    restart: unless-stopped
    network_mode: host
    cap_add:
      - NET_ADMIN
      - NET_RAW
    volumes:
      - ./suricata/etc:/etc/suricata:ro
      - ./suricata/rules:/var/lib/suricata/rules:ro
      - ./suricata/logs:/var/log/suricata
      - /var/run/suricata:/var/run/suricata
    command: >
      --af-packet=eth0
      -c /etc/suricata/suricata.yaml
      --set outputs.0 eve-log.filepath=/var/log/suricata/eve.json
    environment:
      - SURICATA_HOME=/etc/suricata

Suricata DLP Rule Configuration

Create a custom DLP rules file at suricata/rules/dlp.rules:

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# Detect SSN in HTTP POST requests
alert http any any -> any any (
  msg:"DLP: SSN detected in HTTP POST";
  flow:to_server,established;
  content:"POST"; http_method;
  pcre:"/\b\d{3}-\d{2}-\d{4}\b/";
  classtype:policy-violation;
  sid:1000001;
  rev:1;
)

# Detect credit card numbers in SMTP
alert smtp any any -> any any (
  msg:"DLP: Credit card number in email";
  flow:to_server,established;
  pcre:"/\b(?:\d{4}[-\s]?){3}\d{4}\b/";
  classtype:policy-violation;
  sid:1000002;
  rev:1;
)

# Detect proprietary keyword in FTP uploads
alert ftp any any -> any any (
  msg:"DLP: Confidential keyword in FTP transfer";
  flow:to_server,established;
  content:"CONFIDENTIAL";
  nocase;
  classtype:policy-violation;
  sid:1000003;
  rev:1;
)

Reference the rules in suricata.yaml:

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default-rule-path: /var/lib/suricata/rules

rule-files:
  - suricata.rules
  - dlp.rules

Start Suricata:

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docker compose up -d
tail -f ./suricata/logs/eve.json | jq '.alert'

Feature Comparison

Which Tool Should You Choose?

Choose MyDLP if you need a comprehensive, all-in-one DLP platform with endpoint agents, network inspection, and compliance templates. It’s the closest open-source equivalent to commercial DLP suites like Symantec DLP or Forcepoint.

Choose OpenDLP if your primary need is discovering where sensitive data exists across file systems and databases. It excels at building a data inventory for compliance audits and risk assessments.

Choose Suricata if you need network-level DLP as a complementary layer to endpoint protection. Suricata’s deep packet inspection catches data exfiltration that endpoint agents might miss, especially on unmanaged devices.

For maximum coverage, deploy all three: OpenDLP for data discovery, MyDLP for endpoint and email monitoring, and Suricata for network-level inspection. This three-layer approach matches the defense-in-depth strategy recommended by NIST SP 800-53.

FAQ

What is the difference between endpoint DLP and network DLP?

Endpoint DLP monitors data at the device level — file access, USB transfers, clipboard operations, and print jobs. Network DLP inspects data as it travels across the network — email attachments, web uploads, FTP transfers. Endpoint DLP protects managed devices; network DLP protects the data pipeline regardless of the source device.

Can open-source DLP tools meet compliance requirements like HIPAA or PCI-DSS?

Yes, open-source DLP tools can satisfy technical control requirements for HIPAA, PCI-DSS, and GDPR. These regulations specify what controls must exist (data encryption, access monitoring, audit logging) but do not mandate specific vendors. The key is documenting your DLP policies, configurations, and monitoring procedures for auditors.

How does document fingerprinting work in DLP?

Document fingerprinting creates a compressed representation (hash) of a sensitive document’s content. The DLP engine then scans outgoing data for partial matches against these fingerprints. This detects when someone copies portions of a confidential document — even if the file is renamed, reformatted, or partially edited.

Is Suricata suitable for production DLP, or only for testing?

Suricata is production-grade network inspection software used by enterprises and ISPs worldwide. When configured with custom DLP rules, it provides real-time protection against data exfiltration. However, Suricata alone does not provide endpoint coverage, so it should be paired with endpoint DLP for complete protection.

How do I handle false positives in DLP rule matching?

Fine-tune your regex patterns to reduce false positives. Use context-aware rules that check the surrounding content (e.g., “SSN:” prefix before a number pattern). Implement a triage workflow where alerts are reviewed before enforcement actions. Start with alert-only mode, analyze patterns for 2-4 weeks, then enable blocking for high-confidence rules.

Can these DLP tools scale to large organizations (1000+ endpoints)?

MyDLP supports enterprise-scale deployments with distributed architecture and database clustering. OpenDLP scales through agent deployment across unlimited endpoints. Suricata scales based on network hardware — a properly tuned Suricata instance can inspect 10-40 Gbps of traffic. For 1000+ endpoints, plan for dedicated DLP server hardware with sufficient CPU, RAM, and storage.

For related reading, see our Suricata vs Snort vs Zeek IDS/IPS guide and complete container security hardening guide. We also cover endpoint management with Fleet, OSQuery, and Wazuh for complementary endpoint visibility.