UK-based start-up Cyberlytic has launched Cyber Threat Profile, a web application security technology to help SMEs counter increasingly complex cyber threats.
The technology was originally developed for the UK Ministry of Defence (MoD) and uses artificial intelligence (AI) techniques, including machine learning, to detect and prevent attacks targeting websites more efficiently than previously.
Cyber Threat Profile detects and prioritises attacks based on the risk they pose to a company’s IP and data.
It can therefore, claims Cyberlytic, detect attacks that may have been overlooked by other systems and learns over time how attacks evolve and mutate by implementing both anomaly detection and 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.”
Cyberlytic says its team has extensive experience in cyber operations within highly secure government agencies, where national security is safeguarded.
As a cyber security supplier to HM Government the company also works with a number of departments to understand how the use of AI can perform human functions when it comes to cyber security.