#INGRESS EGRESS REGRESS HOW TO#

Burney, Wilmington, for defendant appellee.Īt all times pertinent to a decision of this case Robin Hood Drive was not a public road. The combination of data discovery, classification, and DLP enable organizations to know what sensitive data they hold and where while ensuring that it's protected against unauthorized loss or exposure.*139 Poisson, Marshall, Barnhill & Williams, Wilmington, for plaintiff appellant.Īaron Goldberg and John J. Data loss prevention solutions apply policy-based protections to sensitive data, such as encryption or blocking unauthorized actions, based on data classification and contextual factors including file type, user, intended recipient/destination, applications, and more. Data discovery and data classification solutions help to identify sensitive data and assign classification tags dictating the level of protection required.

Identify, classify, and apply protective measures to sensitive data.

This is a starting point where you can ensure that data egress does not occur without explicit permission.

A network firewall is one of several lines of defense against threats.

Implement firewall rules to block egress to malicious or unauthorized destinations.

It should be a thorough policy that protects your company's resources, including a list of approved Internet-accessible services and guidelines for accessing and handling sensitive data. Include stakeholders to define your acceptable use policy.

Create an acceptable use and data egress traffic enforcement policy.

Both of these actions are necessary for securing the data egress points in your systems. Part of data egress management is finding out where sensitive data is located and where it is leaving the network, also known as data discovery and network monitoring.

Best Practices for Data Egress Management and Preventing Sensitive Data Loss Others may incorporate stealthier methods for sensitive data egress, such as encrypting or modifying the data prior to exfiltration, or using services to mask location and traffic. Some threat actors try to steal sensitive data through the same methods many employees use every day, such as email, USB, or cloud uploads. The release of sensitive or proprietary information to the public or competing organizations is a real concern for enterprises, governments, and organizations of all kinds. There are various data exfiltration techniques that can result in the loss, theft, or exposure of sensitive data. Sensitive, proprietary, or easily monetizable information is highly targeted by cyber criminals, competitors, nation states, and malicious insiders, and all share an ultimate goal of data egress. Egress filtering can also limit egress traffic and block attempts at high volume data egress. If malicious activity is suspected or detected, transfers can be blocked to prevent sensitive data loss. Egress traffic is a term used to describe the volume and substance of traffic transferred from a host network to an outside network.Įgress filtering involves monitoring egress traffic to detect signs of malicious activity. While data egress describes the outbound traffic originating from within a network, data ingress, in contrast, refers to the reverse: traffic that originates outside the network that is traveling into the network. Removable media (USB, CD/DVD, external hard drives).Data egress is a regular part of network activity, but can pose a threat to organizations when sensitive data is egressed to unauthorized recipients.Įxamples of common channels for data egress include: Outbound email messages, cloud uploads, or files being moved to external storage are simple examples of data egress. Data Egress Meaningĭata egress refers to data leaving a network in transit to an external location.

#INGRESS EGRESS REGRESS HOW TO#

Learn about common data egress channels and how to prevent unauthorized data egress in Data Protection 101, our series on the fundamentals of information security.

Ingress egress regress