Veritas NetBackup 9 is intended for multi-cloud deployments, and Fortnite's OpenStack and FortiXDR are designed to automate the response to cyber attacks. Veracity Technologies and Fortinet announce new initiatives to better secure and safeguard multi-cloud deployments and robotize threat detection.
Veracity Technologies launches Veritas NetBackup 9, which is designed to secure edge, data center, and cloud deployments. The company says NetBackup 9 includes Flex Scale, a scaled deployment option that works well with multi-cloud deployments. The construction of NetBackup 9 brings a cloud experience to on-premises data centers and the ability to add nodes as needed.
Veritas is also adding new deployment modes to NetBackup, including options for the cloud, appliances, and building your own server, containerization options, and hyper-converged offering.
Some of the new features in NetBackup 9:
• Policy automation to manage deployment, provisioning, scaling, load balancing, recovery, and cloud
• Automatic workload discovery as well as more API integrations;
• OpenStack-based corporate data protection via native OpenStack APIs.
Doug Matthews, vice president of corporate data protection and compliance at Veritas Technologies, says less than 10% of customers use OpenStack technologies, but the company's largest customers do. “Multicloud is more universal in business, mostly in large companies,” he says.
Using artificial intelligence to improve responses to cyber attacks
Fortinet is rolling out a new Extended Detection and Response (XDR) offering that aims to use artificial intelligence to improve responses to cyber attacks. FortiXDR is cloud-native and spans the fabric of Fortinet's security, services, and automation tools.
Fortinet says FortiXDR is designed to cut the clutter of security data. The argument is that security teams face multiple vendors and an information overflow. FortiXDR's AI engine is continually being trained and informed by research from FortiGuard Labs.
The characteristics of FortiXDR are as follows:• Contextual responses and filtering that reduces the number of product alerts by 77% on average;
• Automation of complex tasks to save time and minimize human error;
• Automation of incident investigations.