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Retailers Must Use SaaS Safely to Protect their Bottom Line

Solutions Review

In this feature, Zerto ‘s Global Director of Technical Product Marketing Kevin Cole offers commentary on why retailers must use SaaS safely to protect the bottom line. The retail industry is one of the largest users of business-to-business technologies like SaaS. For retailers in particular, a data breach can be extremely costly.

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How AI Can Transform Integrated Security

Security Industry Association

From health care to retail to education to manufacturing, AI has already affected nearly every industry, so it is no wonder that security would quickly seek to adopt the capabilities that it offers. Endpoint Protection Machine learning can identify and block malware, ransomware and other malicious software.

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Strategies for Digital Risk Protection

Reciprocity

Digital risk protection (DRP) refers to cybersecurity measures that aim to prevent data breaches, malware, identity theft, and other forms of cyber crime. Restrict employees from downloading non-approved applications (also known as “shadow IT”) to organizational devices. Vulnerabilities.

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Guest Post: Cybersecurity Incidents Lead to New Standards, Requirements

Security Industry Association

Because the traditional security industry relies on a multitiered model where many products go from manufacturer to distributor to security integrator to end user, manufacturers often are unaware of the final destinations of – and applications for – their products. Many cybersecurity standards in the U.S. and parts of Europe.

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Risk Assessment vs Risk Analysis

Reciprocity

This includes potential threats to information systems, devices, applications, and networks. A ransomware attack, in which malicious actors use malware to lock you out of your systems and demand payment to restore your access, would fall under this category. ” High Priority. Medium Priority.

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33 Data Privacy Week Comments from Industry Experts in 2023

Solutions Review

New systems will be a collection of smaller applications working harmoniously for better risk management and future outlook. As these dynamic applications based on Kubernetes move into production and generate business-critical data, the data generated by these workloads needs to be backed up for business continuity and compliance purposes.