Lock the doors inside your home, hand out keys sparingly, then turn on an alarm in every room. Your house will get a lot more secure. However, it will also become unlivable.
Tight security policies, access conditions, and subnetting configurations can take away risk but even mature Zero Trust Architecture (ZTA) environments must balance cybersecurity with usability. A core part of this network security balance involves deploying smart security solutions that detect and respond to threats without compromising user experience.
Implementing a Zero Trust strategy means using dynamic controls that adjust based on context, behaviour, and risk. It also means decrypting, inspecting, and re-encrypting traffic without introducing latency or compromising security.
A ZTA environment breaks the traditional flat, perimeter-based network into a series of subnets (separated by firewalls), which, theoretically, do not have a perimeter with the outside web. Security relies on access control and least privilege access management.
This environment forces security solutions to:
ZTA tools need to establish at a granular level which apps and users are connecting to a resource and whether their behaviour, along with the posture of their device, aligns with permissions or indicates a cyberattack. This means going beyond the traditional tool stacks of endpoint detection and response (EDR), network detection and response (NDR), user entity and behaviour analytics (UEBA), etc., and combining security events and analysis into a single data flow.
Specifically, a ZTA security solution needs to be able to:
Learn more: What Zero Trust Vendors Need to Tell You.
A Zero Trust approach means taking the data flows that enable threat detection and response away from silos and into a combined format. Here’s what happens when you try to meet this challenge with traditional EDR and NDR solutions in a ZTA environment.
EDR solutions focus on detecting, investigating, and responding to suspicious activities on endpoints or devices. They log endpoint activity and analyse it based on a “normal” activity baseline.
EDR limitations as a Zero Trust solution:
In comparison, SenseOn hyper automates threat detection and response at endpoints by capturing real-time user, process, and network interaction.
NDR solutions monitor network traffic to detect and respond to anomalies. They provide visibility into east-west traffic (communication within the network). NDR solutions collect network telemetry data like packet captures and activity logs and then analyse them for indicators of compromise (usually with machine learning).
Micro-segmentation creates smaller network segments, making it difficult for NDR solutions to monitor east-west traffic properly.
As a result, an NDR solution might only see a fraction of the traffic within a ZTA environment and miss insider threat behaviour or smaller scope data breaches. They are also not linked to endpoint activity, resulting in siloed security data.
NDR limitations as a Zero Trust Solution:
SenseOn’s Universal Sensor overcomes these challenges by collecting and analysing telemetry data directly from all devices and applications, ensuring continuous visibility even in a network where Zero Trust principles and access policies have been applied.
Cloud-native and available as a stand-alone security operations centre (SOC) tool or a managed service, SenseOn’s machine learning capabilities understand the context of user and device behaviour and automate routine threat investigation, making it a robust solution within a ZTA environment.
The result is that SenseOn overcomes the visibility limitations faced by traditional EDR and NDR solutions.
Used by organisations ranging from government agencies, service businesses and manufacturers to implement Zero Trust, SenseOn provides real-time insights into user, process, and network interactions within the context of your Zero Trust policies.
Contact us to learn more.