Data Leakage Prevention Services

Sapphire: Data Leakage Prevention Service.

With intellectual property and data now forming a substantial part of company value, losing control of this information can seriously impact share price and brand reputation. However, with the combination of remote mass working and the increasing embrace of cloud applications, data leakage is often only a few clicks away.

Sapphire provides best-of-breed Data Loss Prevention (DLP) tools that help organisations ensure critical data control and compliance. Applied across endpoints and networks, it ensures controls on the distribution of information against a set of agreed policies to track insider threats and malicious actions.


Alert: Reduce the risk from social engineering and malware attacks exfiltrating data in targeted attacks

Protective: Stop Insider threats and accidental data sharing with a tight set of policies around crucial information while also gathering data for education and official action

Governing: Oversee flows and policies of all critical data in your organization for governance and compliance purposes

Frequently Asked Questions

Data leakage is the unauthorised exfiltration of information from within a network to an external recipient.

To understand data leakage prevention, you must first understand the different types:

  • Accidental Breach- For instance, an employee may unintentionally leak sensitive data by accidentally choosing the wrong recipient and sending an email containing confidential data.
  • Data exfiltration/Insider Threat – An employee may leak confidential information maliciously on purpose.
  • Malware – Malicious software is often purpose-designed to exfiltrate data from high-value targets within the organisation.

Data loss prevention (DLP) ensures a tight set of rules and policies regarding data use, particularly extraction, in an organisation. Specialised software then enforces these policies.

Best practices for minimising data leakage on your network include:

i. Classify data according to value and the sensitivity

Know how structured or unstructured data can be shared and who should access the data you store and use this to form policies.

ii. Proactively identify and mitigate using DLP solutions

Proactively identify and mitigate risks effectively by automating progressive DLP solutions.

  • For basic individual Data Leakage Prevention, tools such as an Intrusion Detection System (IDS) alert when an attacker attempts to access sensitive data.
  • Another primary data loss prevention tool is Antivirus software, which prevents attackers from compromising sensitive environments that hold data.
  • Alternatively, a firewall blocks unauthorised access to systems storing sensitive data.

a). Customer Information

One of the most significant data breaches will include customer data leaks which involve Personally Identifiable Information (PII). Each business’s customer information is unique. Any of the following could be considered for protecting sensitive data such as:

  • Customer names
  • Email addresses
  • Phone number
  • Usernames
  • Passwords
  • Credit card numbers
  • Product browsing habits

b). Company Information

Such data dumps sometimes come under fire from dishonest companies trying to copy their rivals’ marketing strategies.

Some of the company data leaks include:

  • Marketing strategies
  • Internal communications
  • Performance metrics
  • Financial data

c). Trade Secrets

This type of data breach poses the greatest threat to a company. Intellectual property theft ruins a company’s potential and runs it to the ground. Trade secret leakages could have different data types, including:

  • Software coding
  • Upcoming product plans
  • Proprietary technology information

d). Analytics

cyber criminals are drawn to substantial data pools, and large data sets feed analytics dashboards. Monitoring analytics software is necessary because it is an attack vector.

Analytic data leaks could include:

  • Customer behaviour data
  • Modelled data
  • Psychographic data

A data breach results from a planned cyber attack, while a data leak is an organisation’s accidental exposure of sensitive data. Cyber criminals don’t create data leaks. Instead, they find them and use them to execute data breach attacks.

Poor security practices often lead to data leaks. Unfortunately, these vulnerabilities are difficult to detect and fix since they occur throughout a broad attack landscape.

Data loss prevention (DLP) is a protection strategy with data leak prevention as a core component. Data loss prevention solutions automate its key features. Thus, software providers can assist organisations in streamlining their DLP strategies.

The components of DLP include:

a) Data Identification

Many organisations use automation techniques, such as machine learning and artificial intelligence (AI), to speed up data identification.

b) Secure Data in Motion

Companies can install DLP software at the network’s edge to filter traffic for false positives and detect sensitive data being sent in violation of security policies.

c) Secure Endpoints

Endpoint DLP agents can monitor user activity in real time and manage data transfers between specified parties, such as through instant messaging apps.

d) Securing Data at Rest

DLP products enforce encryption algorithms, access control, data storage policies and regulatory compliance requirements to protect archived data.

e) Secure the Data in Use

The comprehensive DLP tools monitor and flag any unauthorised behaviour, such as unauthorised users’ privilege escalation on an app.

f) Data Leak Detection

Rapid remediation is essential to prevent a data breach if data leak prevention techniques fail. Practical strategies for finding data leaks can search the deep and open web for data exposures, including S3 buckets and GitHub repositories, allowing quicker removal of possible breach vectors.

Data loss prevention addresses three primary goals that are typical problems for many organisations:

a) Personal Information Protection / Compliance

Do you gather and keep Personally Identifiable Information (PII), Protected Health Information (PHI), or Payment Card Information (PCI) in your organisation? If so, you are subject to compliance laws that require you to safeguard your clients’ sensitive data, such as HIPAA (for PHI) and GDPR (for personal data of EU citizens).

A DLP program can recognise, categorise, and tag sensitive data and monitor the actions and events surrounding it. Furthermore, reporting capabilities can provide the information required for compliance audits.

b) Data Visibility

Do you want more insight into how data is moving within your organisation? A complete business DLP solution lets you view and monitor your data on endpoints, networks, and the cloud.

Your organisation’s users’ interactions with data will be visible to you.

c) IP Protection

Does your organisation possess valuable intellectual property, trade secrets, or state secrets that, if lost or stolen, could jeopardise its financial stability and reputation?

DLP tools that employ context-based classification can categorise organised and unstructured intellectual property types. You can prevent the unintentional exfiltration of this data by putting policies and controls in place.