Top cybersecurity concerns for every board of directors, part two: people

whitePaper | August 16, 2022

Another half-year through unprecedented times has passed. But as unique as these times may feel, we continue to see familiar exploits, names, and attacks taking up space. To help you and your business feel confident in your ability to protect yourself against the threats that continue to come our way, this report looks back on the cyber threat landscape of the first half of 2022 using our global array of sensors monitored by FortiGuard Labs. Here’s what we learned:

whitePaper | December 10, 2019

Advanced application attacks that weaponize at runtime (WRT) are increasingly putting businesses at risk. These attacks challenge application security by leveraging fileless malware, memory corruption and uncommon vulnerabilities to evade traditional security solutions. WRTs manipulate legitimate processes and enable stealthy execution of malicious code, resulting in data breaches, damaged infrastructure, and financial losses.

whitePaper | October 27, 2022

In many ways, the cloud1 is more secure than a traditional data center. Asset management, inventory, audit logging, two-factor access controls, connectivity redundancy and firewalls are built into the cloud provider platform. Servers are easier to patch and won’t become outdated within a few years; there aren’t any forgotten boxes sitting in a dark corner with a note reading, “DO NOT TURN OFF.” However, assets on the cloud continue to be compromised, just as those stored in traditional data centers.

whitePaper | March 2, 2023

Cloud-based management from Hewlett Packard Enterprise offers many advantages for both data infrastructure and the data itself. Data Services Cloud Console (DSCC) is the HPE cloud-based application for current and future data and storage management.

whitePaper | January 18, 2023

In the past few years, major cloud providers are improving their security controls for customers and increasing visibility into their security solutions. Emerging trends such as endpoint detection and response and Zero Trust have focused the security community on the capabilities and services of both cloud and solution providers.

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.