The Evolution of Industrial Cybersecurity and Cyber Risk

whitePaper | November 4, 2022

The Industrial Internet of Things (IIoT) is a relatively new computing paradigm that combines machine learning (ML), artificial intelligence (AI), remote sensors, and device-control applications (or “apps”) to help businesses and industry achieve more efficient and reliable operations. In the oil and gas field, IIoT is used for a variety of purposes—from fully autonomous pump and valve control to remote sensing of security breaches at isolated wellsites.

whitePaper | August 25, 2022

These days, you can’t have a conversation about cybersecurity without talking about zero trust. The security concept requires that all individuals and devices on a network be continuously authenticated, authorized, and monitored. Gone are the days of letting someone in the front door, giving them a role with access privileges and then having them go about their merry way.

whitePaper | December 20, 2022

Organizations are adopting distributed and complex network security due to the changing organizational structure trend. C2 Identity is essential to any business to improve convenience and flexibility in managing identity information and access privileges while protecting corporate resources from unauthorized access, both within and outside the organization's boundaries.

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 | 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 Servers are easier to patch and won’t become outdated within a few years; there aren’t any forgotten boxes sitting in a dark corner with a note reading, “DO NOT TURN OFF.”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 | 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.