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
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:
Data loss prevention (DLP) ensures a tight set of rules and policies around data use, particularly extraction, in an organisation. These policies are then enforced by specialised software.
Best practice for minimising data leakage on your network includes:
i. Classify data according to value and the sensitivity
Know the 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.
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:
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:
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:
Cybercriminals are drawn to substantial data pools, and large data sets feed analytics dashboards. The necessity to monitor analytics software arises from its role as an attack vector.
Analytic data leaks could include:
A data breach results from a planned cyber attack, while a data leak is an accidental exposure of sensitive data by an organisation. Cybercriminals 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 strategy.
The components of DLP include:
a). Data Identification
Many organisations use automation techniques to speed up data identification, including machine learning and artificial intelligence (AI).
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 monitors 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 recognises, categorise, and tag sensitive data and keep an eye on 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? Then, you can view and keep tabs on your data on endpoints, networks, and the cloud with a complete business DLP solution.
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.
Contact our team to learn more about our service today.