A UNIQUE APPROACH TO DETECTING AND PREVENTING WEB-BASED ATTACKS
Our software uses machine learning to classify attack data, identify threat patterns and detect anomalies.
By analysing web server traffic in real-time, our software detects and immediately determines the sophistication, capability and effectiveness of each attack. This information is translated into a risk score to prioritise and initiate incident response.
Our classification approach is more effective at identifying sophisticated attacks than traditional signature-based security solutions and adapts to new or evolving threats without intervention.
Gain the upper hand over attackers
Machine learning analytics reduces the demand on security teams, pin-points high-risk attacks and for the first time, keeps you one step ahead of the attacker.
No Firewall Rules
Risk Based Triage
CYBER SUPPLIER TO
CYBER THREAT PROFILER
Patented classification approach that provides a proactive, real-time risk assessment of web-based cyber-attacks. Enables security teams to detect, prioritise and respond immediately to high-risk attacks.
CYBER THREAT DEFENDER
An intelligent, self-learning web application firewall that does not require human intervention or rule management to prevent the most sophisticated web-based attacks.
BOOK A DEMO OR ASK A QUESTION
Use the form below to get in touch, we're looking forward to hearing from you.
Telephone (US): +1 289 707 3242
Telephone (UK):+44(0) 203 290 0011