Cyberlytic

Subtitle: 
AI for Web Security

Information

Company Name:
Cyberlytic
Sector(s): 
Cyber security
Membership type: 
Alumni
Year founded: 
2013
Founding members: 
Stuart
Laidlaw
St. John
Harold
Number of staff: 
6 - 10

Introduction

Full description: 

Advanced web-application security using artificial intelligence to detect and classify attack data, providing maintenance-free and continuous protection against web-injection attacks.

Cyberlytic’s advanced web application security software, the Profiler, uses AI to detect and prioritise web attacks. The Profiler protects against some of the most common cyberattacks, including cross-site scripting and SQL injection attacks, which devastated Equifax in 2017. The Profiler detects anomalies in web traffic and determines the risk of each attack in real-time. Cutting through web ‘noise’ and only notifying users when a predetermined risk threshold is reached. Simple deployment and system setup, combined with self-learning algorithms, means security teams can leave the Profiler unattended knowing it will only alert when a significant threat is detected. The Profiler’s intuitive interface and reporting features have been designed to minimise user interaction, whilst providing unrivalled visibility of malicious activity targeted protected websites.

Number of pilots

400+