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.

Uploads: 
Cyberlytic - AI for Web Security - Profiler Introduction Video

Number of pilots

400+