With the drastic rise of security incidents and data breaches over the years there is an increased demand for secure communications and privacy standards. Enterprises face numerous challenges with the advancement of encrypted traffic, standards compliance, and reducing liability. Advancements in encryption technology, such as TLS 1.3, as well as more personal devices in the workplace, mean there is a potentially growing quantity of encrypted traffic on enterprise networks for which the organization does not have access to the encryption keys and, therefore, has no visibility into.
This needlessly burdens monitoring systems with extra traffic payloads that offer no additional value. Simultaneously, enterprises end up collecting a lot of PII (Personally Identifiable Information), by necessity or otherwise, which, in the event of a data breach, can place employees and customers at risk and increases the liability of the organization. New standards and legislation surrounding the protection of PII places substantial penalties on non-compliance. In addition, the mere loss of PII can lead to severe reputation damage and lawsuits while exposing valued associates and customers to fraud.
The Solution From Cubro
Cubro provides solutions that address both aspects of these increasing, modern challenges. Packet Slicing is a feature that allows the user to discard a portion of a packet past a defined offset. This is useful for removing an encrypted payload from a packet so that the monitoring system still receives the packet headers (the only portion that remains useful) while improving the efficiency of the tool and reducing resource usage (such as storage space). loyees and customers in the event of a breach.
You may also choose to discard the payload of traffic containing unwanted and potentially sensitive information to both reduce the organization’s liability and/or maximize available resources. Data Masking allows the user to obfuscate sensitive information in the payload of a packet which can be necessary for both compliance reasons or, again, reducing liability and protecting employees and customers in the event of a breach.
- Reduce liability by removing sensitive data and PII
- Increased protection against data leaks
- Maintain compliance with security and privacy standards