Data breaches are no more once in a while events. A high number of data breaches are observed every year as an outcome new data regulations have been introduced such as GDPR, which is redefining the data storage and collection methodologies. Cyber hacks result in data loss. Often, people believe that blue-chip companies are only on the radar, whereas the reality is that retailers also face a similar number of data breaches. Cybersecurity has become a major concern and businesses strive to gain a robust stand to combat data threats. The retail industry is looking for options to secure their network.
Retailers can optimize the available resources for securing their data.
• Determine the sensitive data and networks to veer your most security assets towards them. Identifying the security section with most breaches will leverage organizations to divert their security efforts and optimize them accordingly.
• Strong passwords are key to secure networks. Once a security system is deployed default passwords must be changed immediately. Access to the system should also be restricted to minimal as it refrains unnecessary logins, reducing the chances of internal cyber attacks.
• Vendors of cybersecurity services provide security patches that add an extra layer against threats. These patches must be updated timely as the threats are evolving with time. Having a strong patch management process will ensure faster implementation of critical security patches.
• Next Generation Anti-Virus (NGAV) are a step ahead of traditional anti-viruses with capabilities to combat even the unprecedented attacks. Effective NGAVs do not rely on manual signature updates, instead, it is done automatically permitting businesses to detect and stop attacks.
Integrating Artificial Intelligence
Retailers can go an extra mile by integrating artificial intelligence (AI) in their security framework. AI powers systems to detect and stop data breaches in real-time without human intervention. The technology automatically builds a security algorithm for the future by analyzing the patterns of threats. It also distributes the available resources across the network according to the requirements. AI can perform efficiently even when no supervision is available making 24/7 security possible without humans.