Druva debuts technology integration with Palo Alto Networks to boost visibility, security for joint users

Data protection company Druva announced on Tuesday a technological integration with the Palo Alto Networks next-generation firewall. The integration allows joint customers to use Druva inSync and Phoenix with Palo Alto Networks firewalls to enhance visibility, increase security and shape traffic for inSync and Phoenix in their networks.

Through the technology integration, Druva customers can manage inSync and Phoenix traffic by configuring their Palo Alto Networks next-generation firewalls using Druva-specific App-IDs. This enables Palo Alto Networks next-generation firewalls to identify Druva traffic when it traverses the network, allowing customers to get direct visibility and apply security policies over Druva applications (inSync and Phoenix) through their firewalls.

For example, customers can view and track events associated with Druva using Palo Alto Networks App-ID, helping them to quickly investigate and analyze incidents and profile Druva usage. In addition, customers can also define policies that would allow them to make granular access decisions based on user identity, ensuring that the right people have access to Druva. Previously, administrators had to rely on conventional methods like port or IP-based traffic shaping.

Palo Alto Networks App-ID technology gives customers better visibility into the applications on the network and provides the security needed for organizations to safely enable those applications. With a single dashboard for backup, availability and governance, Druva’s inSync and Phoenix solutions are not only designed for existing distributed and mobile enterprises, but dramatically reduce the risk, effort and cost of protecting and managing structured and unstructured data.

The combination of Druva’s technologies with the Palo Alto Networks next-generation firewall can provide a new level of data security to strengthen joint customers’ critical infrastructures against targeted cyber attacks.

The usage of App-ID also minimizes the potential impact of application upgrades on firewall rules, enabling the network and security management of both inSync and Phoenix to be seamless. Under this technology alliance, Palo Alto Networks and Druva will continue to work closely to ensure that the App-IDs are kept up-to-date as Druva continues to update its applications.

“Managing daily data protection priorities and business needs is nothing short of an imperative for today’s global enterprises,” said Scott Siragusa, Druva’s vice president of channels. “The Druva solution allows organizations to operate in a secure cloud environment, and by bringing together the capabilities of Druva with that of Palo Alto Networks, our mutual customers benefit from a notable increased level of data protection and reduce the ever-growing risk of cyber threats.”

“Until now, this combination of visibility and control hasn’t existed for mutual customers of Palo Alto Networks and Druva,” said Terry Ramos, vice president of business development at Palo Alto Networks. “With this new level of control now available, organizations can reduce the risk of data exposure within their networks.”

Recently, Druva announced a joint offering with DISCO, vendor of software as a service eDiscovery solutions, today announced a new joint solution that reduces the overall time taken to conduct discovery in half. Together, the companies announced they have expanded their respective data protection and discovery platforms to move the end-to-end eDiscovery process entirely to the public cloud.

Specifically, the two providers built and certified direct transfer of cloud-to-cloud data captured from mobile devices, endpoints and cloud applications by Druva inSync for direct ingestion into DISCO’s eDiscovery platform.

This new process solves several customer pain points by ensuring no data on legal hold travels over unprotected networks, all data hand-offs are eliminated, chain of custody is safeguarded and the risk of data spoliation is greatly reduced – a common, and often costly, mishap in eDiscovery.

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