It’s common today for encryption to make it more difficult to detect evidence of data being stolen or to assess what part of the organization or network has been compromised –failing to actually protect the…
Trying to secure today’s Atomized Networks with network security architectures designed decades ago and pieced together is like bringing a knife to a gunfight.
As the use of social media expands, so does the risk of having it used on devices that touch your network, making social media traffic monitoring an important endeavor for security teams.
Unleash a superpower for threat hunters with Atomized Visibility and Control Platforms (AVCP), which provide real-time visibility of all flow records, plus retrospective searches, enabling teams to search millions of flow records in just seconds…
There are a number of good reasons why organizations choose multi-cloud, but these also can create pain for security teams needing consistent visibility into network traffic moving to, from, between, and within clouds.
A big challenge with developing enterprise software fast and deploying quickly is drift – when the infrastructure does not match what was designed and tested.
Given how enterprise networks have become atomized, and how traditional network security technologies have been engineered, we’re dealing with far too many blind spots.
We live in a multi-cloud world. Data, applications, and systems now span corporate data centers, colocation cages, multiple clouds, edge locations, and IoT. The need for enterprises to have security policies that meet compliance requirements…
Netography Fusion shows the who, what, and where as important data points for enrichment to create true, high-fidelity, actionable alerts worthy of an outcome.
The Netography Fusion platform was built from the start with the approach of deeply understanding customers’ unique problems and designing around providing the specific answers needed to focus on the problems they actually want to…
The Netography Threat Research Team was formed with automation, proactive research, and machine learning in mind. The team is constantly questioning how they can develop new detections and proactively defend customers without having to dedicate…
