Cyberlytic

Cyberlytic’s web application security software applies machine learning.

Connect on

Company profile

Cyberlytic’s web application security software applies machine learning to classify attack data, identify threat patterns and detect anomalies

Cyberlytic’s advanced web application security software uses AI to deliver advanced threat detection and prioritisation of web-injection attacks.

Originally developed for the UK Ministry of Defence and GCHQ, Cyberlytic’s software uses machine learning to classify attack data, identify threat patterns and detect anomalies. By analysing web server traffic in real-time, the Cyber Threat Profiler (“Profiler”) detects and immediately determines the sophistication, capability and effectiveness of each attack. This information is translated into a risk score to prioritise incident response.

Cyberlytic’s patented classification approach is more effective at detecting sophisticated attacks than traditional, signature-based security solutions and adapts to new or evolving threats without requiring any manual intervention.

Locations

Location info - Cyberlytic

Ideal
69 Wilson Street
London
EC2A 2BB
United Kingdom

Tel: 020 3290 0111

Open in google maps

You might also be interested in

Join the Cambridge Wireless network

Become part of our successful community of world-leading
companies, partnerships and individuals

Join today

Subscribe to the CW newsletter

This site uses cookies.

We use cookies to help us to improve our site and they enable us to deliver the best possible service and customer experience. By clicking accept or continuing to use this site you are agreeing to our cookies policy. Learn more

Start typing and press enter or the magnifying glass to search

Sign up to our newsletter
Stay in touch with CW

Choosing to join an existing organisation means that you'll need to be approved before your registration is complete. You'll be notified by email when your request has been accepted.

i
Your password must be at least 8 characters long and contain at least 1 uppercase character, 1 lowercase character and at least 1 number.

I would like to subscribe to

Select at least one option*