UK start-up Cyberlytic is making innovative web application security technology, originally developed for the UK Ministry of Defence (MoD) and now available to SMEs to help them counter increasingly complex cyber threats.
Cyberlytic’s new ‘Cyber Threat Profiler’ uses artificial intelligence (AI) techniques, including machine learning, to detect and prevent web attacks targeting websites, in a way that is both faster and more sophisticated than ever before.
Until now, signature-based detection has proved insufficient to protect against Zero Day and polymorphic attacks. As cyber-attacks evolve and become more sophisticated, so too must the security controls.
Through AI and machine learning technologies, the ‘Cyber Threat Profiler’ detects and prioritises attacks based on the risk they pose to a company’s IP and data. It can, therefore, detect attacks that may have been overlooked by other systems, and learns over time how attacks evolve and mutate.
Using machine learning in itself is not a new concept, but it’s a concept that only a small number of security players are implementing. The majority of these companies are only using AI to perform anomaly detection. However, the ‘Cyber Threat Profiler’ implements both anomaly detection and a patented classification approach to detect and effectively triage cyber-attacks.
Stuart Laidlaw, co-founder and CEO of Cyberlytic, adds: “We created this solution to help security teams identify and evaluate the risks posed by advanced cyber-attacks. Based on research we completed for the UK MoD, we’ve developed an effective way of using AI to detect and prioritise web attacks.
"Our data science approach evaluates the risk posed by an attack by looking at the sophistication and the capability of the attacker. Importantly, our software also assesses the effectiveness of each attack, combining these characteristics to create a risk score. This is achieved through real-time deep packet inspection of all HTTP traffic – something that no-one else out there is doing.”
As a cyber security supplier to HM Government, Cyberlytic works with a number of departments to understand how the use of AI can perform human functions when it comes to cyber security. Laidlaw’s background includes experience working for Fujitsu, BAE Systems and government agencies.
Cyberlytic’s co-founder and CTO, St John Harold, has also worked with several FTSE 100 companies as a security consultant and more recently, has provided expert security advice to UK government departments and agencies.
The company’s exploration of advanced analytical technologies has also attracted the attention of Amadeus Capital Partners, a renowned IT security VC investor, VASCO, a global leader in identity and security, and the likes of Cisco where the company is engaged in a programme to exploit opportunities for growth.
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