Network Detection and Response
Real-time Advanced Cyber Attack Detection and Response
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Network Detection and Response

Continually Discovering, Preventing & Responding

Whilst the majority of cyber security related solutions protect you from threats currently attacking your network, you need a Network Detection and Response (NDR) solution to discover hidden malicious actors and initiate a counterattack to remove and repair any damage.

Our NDR Solution detects and prevents malicious network activity, investigates and performs forensics to determine the cause, and then responds accordingly.

The ability to detect, prevent and address zero-day threats increases steadily over time as the solution learns from attacks entering your network.

Quicker Analysis = Quicker Response

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How Network Detection and Response works …

Capture Data

Sensors extract relevant metadata traffic or logs from cloud, SaaS, data centre and enterprise environments.

Normalise Data

Traffic flows are deduplicated and attack behaviours detected.
The characteristics of every flow are recorded and then attributed to a host.

Enrich Data

Self-learning behavioural models are continually tuned and enriched with machine learning security information.

Detect

Threats are detected automatically and in real time, triaged, prioritised and correlated with compromised host devices before they do damage.

Respond

Machine learning attributes provide vital context that reveals the broader scale and scope of an attack, eliminating the endless hunt and search for threats.

Machine learning can have a real impact on the security of your business.
Our Network Detection and Response solution follows patterns and learns from them so that attacks can be prevented and responded to in real time.

Improving your network security …

As a breach detection platform, our Network Detection and Response solution continuously monitors network traffic to automatically detect any phase of an ongoing cyber attack. The solution provides visually intuitive reports of hosts under attack and context about what the attacker is doing.

Automatic and real-time prioritisation of attacks that pose the greatest business risks are assured, enabling organisations to quickly make decisions on where to focus their time and resources.

The platform is used for detecting automated malware, targeted and insider attacks. It’s particularly effective for identifying East-West network traffic threats. Machine Learning is utilised with no dependence on signatures or reputation feeds.