Supermarket retailer goes ‘deep’ to combat cyberattacks
Kings Food Markets has deployed a deep-learning model for cybersecurity to safeguard its digital infrastructure and POS systems and protect its customers.
Deep Instinct announced it will provide the upscale regional grocer with multiple layers of protection – from the servers down to the registers – to detect and prevent known and unknown malware in real time. Deep Instinct worked closely with Kings to develop a unique solution to keep shoppers’ credit card information and transactions safe.
Once deployed in a test environment, the results showed that the servers running in a preventative state blocked malicious, Java-based executable malware on all of Kings’ POS systems — malware that had previously been missed by other security tools. Had the malware gone undetected, Kings would have seen a significant spike in CPU usage that could have shut down its POS systems nationwide and resulted in a loss of business and customer trust, according to Deep Instinct.
Deep Instinct’s technology is location agnostic and protects Kings’ servers as well as the company’s POS systems embedded with Windows OS. It leverages the power of deep learning’s predictive capabilities to create a zero-time threat prevention platform and network involving multi-layer protection across all endpoints, servers, mobile devices and operation systems (Windows, macOS, Android, iOS and ChromeOS).
“We know that the security threat landscape is constantly evolving, and we wanted a reliable solution to ensure customer data was protected every step of the way in the purchase process,” said Bruno Mariano, director of technical support and services, Kings Food Markets, which operates 25 stores in New Jersey, New York and Connecticut. “Deep Instinct checked all the right boxes and proved itself as the only technology capable of adapting to our unique environment, without disrupting our everyday business operations. The technology has surpassed our expectations, ensuring our customers remain safe and helped mitigate risks for attacks we might not even be aware of.”