Cyber security research—HP Cyber Risk Report 2015

whitePaper | August 26, 2022

As a provider of physical security services, we at Brivo believe that information security is of paramount importance to maintaining the safety and security of your facilities, and the privacy of your data. That’s why information security has been a consideration since day one.

whitePaper | January 25, 2023

Veritas Alta™ SaaS Protection (formerly known as Netbackup SaaS Protection) is a cloud-based secondary storage platform for enterprise organizations to centrally protect, analyze, search, and manage all types of SaaS application data at any scale.

whitePaper | June 28, 2022

The World Economic Forum Centre for Cybersecurity – in collaboration with the Cyber Resilience Index working group and in partnership with Accenture – developed the global Cyber Resilience Index (CRI). The CRI provides public- and private-sector cyber leaders with a common framework of best practice for true cyber resilience, a mechanism to measure organizational performance, and clear language to communicate value.

whitePaper | May 21, 2021

Critical infrastructure owners and operators have managed industrial risk for hundreds of years. This risk is usually measured in impact to health, safety, and reliability. As these industrial systems become increasingly digitized, so does the risk. What were once seen as isolated, manual processes have become reliant on communication networks and digital devices.

whitePaper | March 1, 2023

Outages and data loss are an unfortunate reality for businesses today. These outages can cause big risks to your company’s reputation and revenue, as every minute of downtime means that critical data isn’t accessible to your business. If things weren’t complicated enough, managing a complex, hybrid, multi-cloud environment makes continuity even harder. These challenges increase complexity exponentially, greatly impacting your ability to stay in control.

whitePaper | December 4, 2019

This paper describes a distributed anomaly detection approach designed to accurately track actions performed by adversaries across a network. The illustrated approach involves running multiple machine learning models on both endpoints and the network as well as on a centralized backend, and includes communication and replication of learned states between these models.