AI Security White Paper

whitePaper | July 11, 2023

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whitePaper | March 14, 2023

Security automation cannot replace the creativity of humans. In fact, 92% of ethical hackers say they can find vulnerabilities scanners can’t. For the past six years, we’ve been surveying hackers to learn more about how they see the evolving security testing industry. We combine these insights with the world’s largest dataset of vulnerabilities to identify trends that inform our customers how to build an impactful security strategy.

whitePaper | January 9, 2020

The malicious programs known as ransomware have attracted a significant amount of coverage in the mainstream media over the last few years, as major companies and organizations announced that their operations had been affected by the threat. Examples of affected businesses include hospitals, universities and major international corporations [2, 3]. Despite the alarming nature of the threat, the way ransomware gains entry onto a user’s device is actually no different from the methods used by other threats. Ransomware is most commonly spread by two methods.

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 | December 3, 2019

Healthcare information is unique and personal to us all.Indeed,the patient is at the center of healthcare, as it would not exist if the patient did not exist. Bits and bytes in today’s digital world have real significance when it come to patient care lives are on the line.

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.