HP Cyber Risk Report 2015: Executive Summary

whitePaper | November 24, 2022

This white paper provides an overview of “Cybersecurity for Industry.” It describes the threats and hazards to which industrial automation systems and production plants are exposed and introduces concepts for minimizing these risks and instituting a level of protection that’s acceptable on economic as well as security grounds.

whitePaper | July 12, 2023

FortiClient’s Fortinet Security Fabric integration provides endpoint visibility through telemetry and ensures that all Security Fabric components – FortiGate, FortiAnalyzer, EMS, managed APs, managed Switches, and FortiSandbox – have a unified view of endpoints in order to provide tracking and awareness, compliance enforcement, and reporting. Traditional virtual private network (VPN) tunnels or new, automatic ZTNA tunnels provide secure remote connectivity. Provide security and protection for endpoints when local or remote.

whitePaper | May 22, 2022

Hackers have made healthcare a top target. As a result, the healthcare industry experienced the highest number of ransomware attacks during Q3 2022, with one in 42 healthcare organizations suffering an attack – in spite of an 8 percent drop in ransomware attacks in Q3.

whitePaper | April 19, 2021

This guide presents an opinionated view of Google Cloud security best practices, organized to allow users to adopt or adapt them and then automatically deploy them for their estates on Google Cloud. This document can be useful to you if you are a CISO, security practitioner, risk or compliance officer.

whitePaper | October 6, 2022

Sophos' annual study of the real-world ransomware experiences of IT professionals in the manufacturing and production sector has revealed an ever more challenging attack environment. Together with the growing financial and operational burden ransomware places on its victims, it also shines new light on the relationship between ransomware and cyber insurance - including how insurance drives changes to cyber defenses.

whitePaper | January 23, 2020

With the accumulation of big data, dramatic improvements in computing power, and continuous innovation in Machine Learning (ML) methods, Artificial Intelligence (AI) technologies such as image recognition, voice recognition, and natural language processing have become ubiquitous. Meanwhile, AI poses a significant impact on computer security: on the one hand, AI can be used to build defensive systems such as malware and network attack detection; on the other hand, AI might be exploited to launch more effective attacks.