Detect the undetected

Blue divider

SightLabs prevents cyberattacks by detecting anomalies in your network. With our DNS ninja, clustering and anomaly detection you can detect the undetected and increase your cybersecurity.

Detect your undetected breaches SightLabs
Our promise
SightLabs anomaly detected

Signal anomalies within your network before it becomes a cyberattack

Blue divider

With SightLabs you’ll get better and faster detection of malicious software that is already in the company network. We signal threats that cannot be detected by the current anomaly based detection technology. Unique in its handling of large amounts of data, SightLabs offers innovative detection tools developed to analyse traffic patterns in a network.

Learn more

all the tools you need to detect anomalies and prevent cyberattacks

Blue divider

The SightLabs platform collects, detects and prioritizes high-fidelity alerts in real time. It responds with automated actions or alerts to security personnel. Security teams use this information for threat discovery and retrospective research. To build custom security analytics, SightLabs enriches and streams the data to SIEMs, SOAR and other types of infrastructure equipped to interpret these new signals.

rightslider
DNS Ninja

DNS Ninja

Detect anomalies in the DNS data of an internal network​.

Learn more
Anomaly Detection

Anomaly Detection

Detecting anomalies in data streams.

Learn more
Clustering

Clustering

Apply clustering to algorithms on communication patterns. Group entities and detect anomalies within and between clusters.​

Learn more
Behaviour Analysis​

Behaviour Analysis​

Protocol and application-specific analyzer modules to detect specific (malicious) communication patterns.

Learn more
Classification​

Classification​

Identification of entities in the network like business services, network services, clients, or IoT devices.

Learn more
rightslider

Talk to one of SightLabs’ trusted experts!

All the tools, one platform

Blue divider

Combined onto one platform, our tools are easy to install, non-intrusive and easy to integrate into existing operating center infrastructure. Download what you need, and prevent the next cyber attack by letting it find and analyse events that were previously undetected.

SightLabs all the tools one platform

Detect undetected anomalies in your network

SightLabs, in continuous co-operation with TNO

Blue divider

Combined onto one platform, our tools are easy to install, non-intrusive and easy to integrate into existing operating center infrastructure. Get the modules that you need, and prevent the next cyber attack by letting it find and analyse events that were previously undetected.

About us 

SightLabs, in continuous cooperation with TNO

As pure-play company, providing NDR solutions

SightLabs is a pure-play Network Detection & Response company. A best of breed specialty company whose platform provides NDR solutions. We are part of a network-centric group of companies which has historically targeted network use cases, such as network performance monitoring and diagnostics. In continuous co-operation with TNO (The Netherlands Organisation for applied scientific research) we research and develop solutions to address security use cases. Our network-centric solutions already monitor network traffic and in addition to that, we apply analytical techniques such as machine learning, to detect anomalous traffic.

Our values

Fundamentals we build on

Transparency

Transparency

Reliabilty

Reliability

Integrity

Integrity

Transparency is in our DNA. We are open and reliable. Our methods let you gain insights, and help you see.

Learn more

You can rely on us. We are trustworthy, responsive and easy to work with. We will say what we do, and do as we say. 

Learn more

Our services require deep insight into you company, so we make sure you’re comfortable with us. We promise to handle things the appropriate way.

Learn more

Talk to one of SightLabs’ trusted experts!

Toestemming*
This field is for validation purposes and should be left unchanged.