Retail and ECommerce
Protect your systems, your brand reputation and keep your operations running smoothly
THREATWATCH FOR ECOMMERCE & RETAIL
In the retail world, your consistent operations and brand reputation are everything. It will always be less expensive to put preventative security measures in place rather than the devastating costs of rebuilding after a cyber attack.
We recommend adding our powerful Advanced Threat and Log Analysis, 24×7 threat monitoring services for round-the-clock care of your systems.
Know where the threats are, when they occur more effectively than other SIEM technology in the industry. We analyze all your data faster, using behavioral analytics to find threats and indicators that would otherwise be dropped from the data set based on the overwhelming volume of data.
THREAT DETECTION FOR YOUR ENTIRE RETAIL SYSTEM
When it comes to finding threats – speed to detection is key – that’s where AQ TechnologyTM leads the way.
A NEW, PATENTED APPROACH TO THREAT ANALYTICS
Patented AQ TechnologyTM powers AI breakthroughs in advanced threat detection
RAPID ANALYSIS OF THREAT DATA
We can find advanced threats 10 to 100 times faster and more accurately than a SIEM or 3rd Generation system
CASE STUDY: HOW SOD DETECTED THREATS COMING FROM MOBILE DEVICES ON AN ECOMMERCE SYSTEM
Security On-Demand’s ThreatWatch behavioral analytics service detected a Command and Control malware with “botnet” indicators that connected to a China-based control server. SOD’s Threat Reconnaissance Unit analyzed the alert and confirmed that the traffic pattern was identifiable as Command and Control (“C and C”).
- Threat indicators from our ThreatWatch platform helped SOD identify the C and C attack.
- The alert then went to the SOC analyst for further investigation and client notification.
- The ecommerce organization validated the threat and blocked the IP addresses from gaining any access to their website and system.
- By comparison, querying the same indicators on a normal database would have taken over approximately 3.5 days for a single indicator, but SOD performed the query in just under 20 min.
