DLP Program

COMPREHENSIVE DATA LOSS PREVENTION PROGRAM

There has been much confusion in the marketplace regarding data protection and data loss prevention controls. There are numerous contributing factors, most notably a general lack of understanding in how data security works or what communicates risk to a business.

Challenge

Over time, impractical processes were established, operational bottlenecks ensued, and the ongoing threat of data loss and theft persisted followed by poor experiences directly related to the lack of clarity in program goals, insufficient planning, and unsuccessful DLP technology implementations.

As a result, organizations that want to protect their confidential data, secure access as well as their increasingly hybrid workforce, and comply with laws and regulations are often skeptical and unsure where to turn.

The important thing to realize is that the technology behind DLP controls is not the most critical factor that determines your success—it’s the methodology and execution strategy of your vendor that governs both your experience and results.

Engagement

Forecight’s effective Data Protection program methodology and execution strategy leverages the “human-centric cybersecurity” approach focused on understanding Client’s intent to prevent data loss before it occurs. The execution strategy provides the best time-to-value between implementing DLP controls and measurable risk reduction results. focused on data-in-motion and data-at-rest using risk-adaptive technology in the background. Our framework provides the following DLP controls and objectives.

DLP PROGRAM PHASES

Effective data loss prevention requires a broad and comprehensive approach. It’s important not to select a single software or platform. The data you’re protecting is too important and the potential fallout from its loss is too severe.

Forecight’s 9 phased DLP program establishes processes and policies for storing and handling critical data, as well as detailed response plans for data leaks and other security incidents. The proven best practices handles critical / sensitive data and the adequate procedures to seamlessly implement.

Phase 1

Information Risk

Profiling

Phase 2

Impact Severity &

Response Chart

Phase 3

Determine Incident Response

Based On Severity & Channel

Phase 4

Develop An Incident

Workflow Diagram

Phase 5

Assign Roles &

Responsibilities

Phase 6

Establish The Technical

Framework

Phase 7

Expand DLP Controls

Coverage

Phase 8

Enterprise-Wide

DLP Integration

Phase 9

Track Risk Reduction

Results

Process

The data protection services are a component of the our data practice, which also includes Data Governance and Data Privacy. Our team of seasoned experts applies a strategy-first approach to define the requirements for and implement measures that protect the information in your care.

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: Out-of-box classifiers and policy templates help identify types of data. Supports content content search such as personal identifiable information (PII).

→ Registered: Data is registered with the system to create a “fingerprint,” which allows full or partial matching of specific information such as intellectual property (IP).

Risk-Adaptive Approach

→ Derived from Gartner’s CARTA approach, this sets advanced data loss prevention processes apart from the other DLP tool sets.

→ Risk-adaptive adds flexibility and pro-activity to DLP to autonomously adjusts and enforces DLP policy based on the risk an individual to increases user productivity while reducing false positives and incident risk ranking.

Risk Matrix

Risk = Impact x Likelihood

The risk formula allows risk to be measured and mitigated to a level that your organization is comfortable with. Therefore, the metric used for tracking reduction in data risk and ROI of DLP controls is the rate of occurrence (RO).

Risk = Impact x Rate of Occurrence (RO)

The RO indicates how often, over a set period of time, data is being used or transmitted in a manner that puts it at risk of being lost, stolen, or compromised. The RO is measured before and after the execution of DLP controls to demonstrate by how much risk was reduced.

Time-to-Value

Time-to-value is the difference in time between implementing DLP controls and seeing measurable results in risk reduction. You get the best time-to-value with DLP that is focused on data-in-motion and data-at-rest using risk-adaptive technology in the background.

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

Data Protection 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.

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