DLP Program

COMPREHENSIVE DATA LOSS PREVENTION PROGRAM

Protect Sensitive data

Reduce Business Risk

Many organizations struggle with Data Loss Prevention due to unclear data protection strategies and limited visibility into sensitive data risks. This often results in ineffective controls, operational friction, and unsuccessful technology deployments.

Successful DLP programs depend less on technology and more on a structured methodology, clear governance, and effective implementation aligned with business and data security requirements.

Challenge

Organizations struggle to protect sensitive data due to limited visibility, fragmented controls, and ineffective DLP implementations.

• Limited visibility into sensitive data locations and movement
• Ineffective DLP tools causing operational disruption
• Inconsistent policies for data handling and protection

Solution

A structured DLP strategy enables organizations to identify sensitive data, enforce protection policies, and reduce data leakage risk.

• Implement risk-based data classification and protection controls
• Establish governance, policies, and incident response procedures
• Deploy adaptive monitoring across endpoints, networks, and cloud

DLP Program Services

A phased DLP program establishes governance, processes, and technical controls to protect sensitive information and reduce data loss risk across the enterprise.

• Identify and classify sensitive data across systems and users
• Implement DLP policies, monitoring, and enforcement controls
• Integrate response workflows and track risk reduction outcomes

PROTECTING CRITICAL ASSETS

Identify Data

→ Data-in-Motion (traveling across the network)

→ Data-in-Use (being used at the endpoint)

→ Data-at-Rest (sitting idle in storage)

→ Data-in-the-Cloud (in use, in motion, at rest)

Described or Registered Data

→ Described Data – Use predefined classifiers and templates to identify sensitive data such as PII.

→ Registered Data – Create data fingerprints to detect full or partial matches of sensitive content, including intellectual property.

Risk-Adaptive Approach

→ Adaptive DLP Enforcement – Dynamically adjust DLP policies based on user behavior, context, and data risk signals.

→ Improved Detection Accuracy – Enhance detection precision while minimizing false positives and maintaining user productivity.

Risk Matrix

Risk = Impact x Likelihood

Risk quantification enables organizations to measure and reduce data exposure to acceptable levels. DLP effectiveness is tracked using measurable risk indicators.

• Quantify data risk based on potential impact and likelihood
• Establish measurable metrics to evaluate DLP effectiveness
• Track risk reduction aligned with security objectives

Risk = Impact x Rate of Occurrence (RO)

Rate of Occurrence measures how frequently sensitive data is exposed, transmitted, or handled in ways that increase compromise risk.

• Measure frequency of risky data activities over defined periods
• Compare RO metrics before and after DLP control deployment
• Demonstrate measurable reduction in data exposure risk

Time-to-Value

Time-to-value measures how quickly DLP controls deliver measurable reductions in data risk.

• Accelerate risk reduction through targeted DLP implementation
• Focus protection on data-in-motion and data-at-rest
• Leverage risk-adaptive technologies to improve detection and response

Program Benefits

A DLP Strategic Roadmap makes your existing setup work better for you. After learning about your organizational structure, business critical data, infrastructure architecture, and policies, we’ll establish a roadmap that matches your people, policies and technologies to your specific requirements.

Reduce Effort

Reduce Cost

Optimize Resources

Risk Reduction

Stakeholder Confidence

Maintained Compliance

Prevent data-related incidents caused by insiders
Comply with cybersecurity requirements, laws, and standards
Improve visibility and control over the organization’s data
Definitively authenticate each user before data is accessed
Improved incident response
Align organizational risk with technical capabilities
Mature DLP Program with consistent compliance reporting
Strategically prioritize next steps
Make informed decisions

DLP Services

Data Protection Strategy

Before enabling data with technology, determine the best use of existing controls, business rules and solutions for data at-rest, in-motion and in-use.

Data Security

Identify, mitigate and remediate user and machine threats recognized in Active Directory and Azure AD. Develop the architecture, install, configure, optimize, and tune data security solutions including encryption, tokenization, obfuscation, redaction and public key infrastructure (PKI).

Data Governance

Create and enforce rules, policies and controls that limit data access to the lowest permissions level possible. Policies cover data ownership, access provisioning, data storage, backup and recovery, data protection and data maintenance.

Data Loss Prevention

Assist in defining and operationalizing a comprehensive DLP approach that leverages tools and processes to limit unauthorized access, use, sharing or other means of data egress.

Cloud Data Protection

Define and implement a solution to manage cloud services, streamline the onboarding process for new cloud services and applications, and minimize the risk of data loss.

Database Monitoring

Use regulatory and compliance standards as a foundation to monitor file activity for breaches and internal threats, analyze and report.

Related Advisory Services

PCI COMPLIANCE

SECURITY AWARENESS

GDPR READINESS