Anomaly Detection

Network Behaviour & Anomaly Detection

The cyber threat landscape is growing and a cyberattack can result in a huge cost for your organisation, both in terms of financial and reputational damage. Network detection systems, such as our CERNE & Flowprobe solutions, provide continuous monitoring of your network traffic allowing you to identify cyber threats in real-time using an analytics platforms, such as the Telesoft Data Analytics Capability (TDAC), and proactively preventing security threats from resulting in operational issues for your organisation.

As our networks become increasingly data-rich & interconnected there are more opportunities for malicious actors to take advantage of vulnerabilities that exist at the interfaces with your organisation. Network flows are also increasingly, and quite rightly, encrypted to protect the sensitive data stored within. However, this creates a challenge for traditional threat detection to identify threats as malicious traffic can hide behind this encryption. To break the encryption would have data privacy implications and is also difficult to achieve due to the volume of data in high-rate network flows. However as discussed in our latest white paper, it is possible to fingerprint the TLS encryption to identify network behaviour anomalies without interrogating the contents of the network flow.

Our solutions utilise these techniques to deliver network behaviour anomaly detection in real-time protecting our customer’s networks from cyber threats.

  • The average cost of a data breach is $3.92 million as of 2019

  • The average cost of a malware attack on a company is $2.6 million

  • Damage related to cybercrime is projected to hit $6 trillion annually by 2021

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