Cyberlytic Case Studies & Use Cases

Overview

  • Detects web injection attacks without the creation or maintenance of firewall rules
  • Cuts through large volumes of data and immediately prioritises high-risk web attacks
  • Protects against critical data loss and increases the efficiency of IT
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Use Cases | Simple, effective FINTECH application protection

 

Challenge

The fintech industry is continuing to grow exponentially as people and businesses search for alternative ways to manage money. The disruptive nature of mixing finance with cutting edge technology has changed the way financial services are now offered, providing more flexibility and a better customer experience.

With this comes a new, rising challenge: cybersecurity. Fast growing fintech companies focus on driving technology improvements to gain competitive edge. Often working within fast-paced devops environments, teams may not have the appropriate skills or time to implement an effective information security defence. However, Fintechs are a perfect target for cyberattacks as they collect and process large amounts of valuable data. Web applications remain the hottest attack vector for hackers who can inject malicious code via a company’s website or ‘secure’ portal to extract data. If web applications are not adequately protected and customer data is breached, the implications will be devastating for their integrity and reputation.

With the GDPR and PSD2 coming into place shortly, compliance is a big driver for fintechs to ensure cybersecurity is a high priority. Positively, it’s going to be easier for these newly formed businesses to comply as they are not traditionally complex, with legacy systems in place. Having cybersecurity and technological innovations intertwined into the core business is essential to gain competitive advantage.

Solution

Cyberlytic has developed a revolutionary approach to detecting and preventing web-based attacks, such as SQL injection(SQLi), cross-site scripting (XSS) and bash 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 incident response.

By cutting through the noise of thousands of events, the Cyber Threat Profiler reduces your security team’s dwell time on the attacks that matter most from days to seconds. Our patented classification approach is far more effective at identifying attacks than traditional signature-based security solutions and adapts to new or evolving threats without requiring any manual intervention.

Benefits

Advanced Detection: Machine learning classifies web traffic based on threat characteristics, to effectively detect web injection attacks

Risk-based Prioritisation: Immediately cuts through large volumes of data and prioritises high-risk attacks targeting sensitive information

Protection and compliance: Dynamic risk-based reporting demonstrates web threat protection and supports compliance requirements

Other Case Studies

Our Work with the MoD

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Protecting an Automotive E-Commerce Website from Online Threats

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Protection for RETAILERS with web applications

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