Seamless and secure
Voice and Data|December 2020
Network security infrastructure should have features that can enable enhanced data security along with unhindered access to data. Here is how to achieve it
SONIT JAIN
Seamless and secure

COVID-19 has pushed a huge number of organizations towards work-from-home (WFH), resulting in a sudden increase in the number of such users. The remote workforce provides various benefits to both employers and employees, but they also lead to some critical security issues since they access enterprise data through their personal networks, devices, and from remote locations. This increases the potholes in network security through which cybercriminals can pilfer critical business data. To address these security concerns, companies need to have network security with advanced features that can prevent data leak and enhance data security for these roaming and remote working users.

A remote workforce requires seamless access to enterprise applications and data for optimal performance. Hence, a security infrastructure should have features that can enable enhanced data security along with seamless access to data for employees.

Data-first security approach

Organizations usually deploy firewalls to secure the network. This becomes ineffective to protect data due to its approach towards security. While the data-first security approach enables businesses to deploy datacentric security. It allows companies to monitor every bit of data leaving the organization.

The present-day network or device-centric cybersecurity alone won’t be a foolproof solution against data exploitations, as data itself needs to be secured. By following a data-first approach, businesses can ensure that they stay well ahead of cyberattackers in the fight with them. And to do that, they need cybersecurity devices that can help them seamlessly integrate a datacentric strategy with their existing enterprise networks.

This story is from the December 2020 edition of Voice and Data.

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This story is from the December 2020 edition of Voice and Data.

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