IoT Cybersecurity vision 2018-2019

whitePaper | February 6, 2023

All encryption/decryption operations are only performed by RoboForm locally on user’s devices and never on the RoboForm Server. RoboForm Data Objects and other user data is never sent to the Server in an unencrypted form. All communication between RoboForm Clients and Server are conducted over encrypted channels only.

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 | September 30, 2022

As organizations become more digital in nature, securing the data becomes a top-of-mind priority given the cybersecurity challenges. ScienceLogic is committed to making the necessary investments in security and providing the transparency to gain the trust of our customer and partners.

whitePaper | October 29, 2021

Telecommunications equipment and systems, as critical infrastructure for a nation, have been widely valued by governments, operators, and users worldwide. Currently, the deployment of 5G has begun. Featuring faster speed, greater network capacity, and ultra-low latency, 5G will redefine the operation of critical infrastructure from the factory floor to the cloud. Its new technologies including Software-Defined Networking (SDN), Network Function Virtualization (NFV), Multi-access Edge Computing (MEC), and network slicing are paving the way for smart cities, remote surgery, autonomous vehicles, and large-scale Internet of Things (IoT) connectivity.

whitePaper | December 12, 2019

Most of the Small to medium-sized companies are unaware about the ways in which they’re vulnerable. More than 45% mistakenly believe they’re not a viable victim. They are just too small a target in comparison to larger organizations and tend to have a blind eye towards the cyber threats they face, which is in sharp contrast to what attackers think.

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.