Ransomware: How to prevent, predict, detect & respond

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.

Spotlight

Securolytics

Securolytics has created the 1st Holistic Security Platform Designed for Healthcare that Prevents Security Breaches and Manages Compliance Across The Internet of Things (IoT) We identify the symptoms of a data breach, malware infection and criminal activity through behavioral analysis and anomaly detection. And we do it all without the need to deploy additional hardware or software. Securolytics uses advanced statistical modeling and machine learning to independently identify new problems, learn from what it sees, and adapt over time. We reduce the effort needed to secure IoT devices inside your network.

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VIRSEC ® SECURITY PLATFORM

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.

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Unidirectional Security Gateways: Enabling Secure IT-OT Communications

whitePaper | June 28, 2022

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Cyber security considerations 2022

whitePaper | September 12, 2022

The threat landscape is expanding. Cybercriminals are as entrepreneurial as ever and using increasingly sophisticated tools and technologies. In this fluid environment, we believe Chief Information Security Officers (CISOs) and their teams should adopt a mindset of enablement — cyber security is no longer just about prevention.

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2022 Cyber Security Report

whitePaper | July 25, 2022

The past twelve months represents one of the most turbulent and disruptive periods on record, at least as far as security is concerned. As governments and businesses around the world continued to navigate the uncharted waters of a global pandemic, the so-called “new normal” still felt a long way off. Digital transformation efforts were dramatically accelerated as businesses embraced hybrid and remote working arrangements, but the same questions around security maturity that plagued many businesses in 2020 persisted through 2021.

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Cybersecurity Technologies for Cloud Access

whitePaper | September 14, 2022

The enterprises’ network and network security architectures are unable to effectively serve the dynamic secure access requirements of digital business. The enterprise data center is no longer the center of access requirements for users and devices.

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Project Blackfin: Automated Breach Detection Using Intelligent Agents

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.

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Spotlight

Securolytics

Securolytics has created the 1st Holistic Security Platform Designed for Healthcare that Prevents Security Breaches and Manages Compliance Across The Internet of Things (IoT) We identify the symptoms of a data breach, malware infection and criminal activity through behavioral analysis and anomaly detection. And we do it all without the need to deploy additional hardware or software. Securolytics uses advanced statistical modeling and machine learning to independently identify new problems, learn from what it sees, and adapt over time. We reduce the effort needed to secure IoT devices inside your network.

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