Adversarial Threats on a Penetration Testing Solution

Malicious adversaries are increasingly aiming to bypass security controls. There is a race to “owning” vulnerable machines and it is advantageous to malicious adversaries if the existing vulnerabilities are not patched. The research will be performed on a vulnerability assessment and management platform, specifically designed to assist organizations in identifying and mitigating cyber risks. It […]

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Monitoring and optimizing environmental conditions for improved CEA productivity

Consistent plant production is critical for plant product quality and marketability. Plant quality (leafy greens, cannabis or other plants) is influenced by the plant species/cultivar and environmental conditions (temperature, relative humidity, light level, light quality, CO2 levels, water quality and quantity, nutrient levels and air movement). Understanding existing variability of the environmental conditions is critical […]

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Optimizing Security Orchestration, Automation, and Response for Incident response

This research project aims to develop cost-effective solutions to aid organizations in defending against cyber-attacks. With limited resources, security operations centers are struggling to defend against the vast volume of cyber-attacks. The project proposes reducing the work effort and amount of labor needed to perform tasks such as manual inspection and incident responses. By enhancing […]

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Automating Insider Threat monitoring and detection

Insider threat involves individuals who have access to company resources and causes harm to the institution. These insiders can be employees, consultants, contractors, and third-party companies. Different types of insiders include people who intentionally harm the company, those to masquerade as a trusted entity, and those who unintentionally cause harm. Insider threats can lead to […]

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Command and Control Automation and Reporting

A red team is a group of cybersecurity experts who are tasked with simulating real-world attacks on an organization’s systems and networks. They do this by using a variety of tools and techniques to identify vulnerabilities and weaknesses in an organization’s defenses. This project implements command-and-control infrastructure, which is critical for the red team or […]

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Application of Machine Learning and Data Science for classification of BDD (Behavior Driven Development) Test Development and Execution

Continuous integration (CI) and continuous delivery (CD) are practices that help software development teams deliver code changes more often and with fewer issues. To ensure that code changes are working as they should, developers use Behavior Driven Development (BDD) tests. But running all these tests against every code change can be time-consuming and costly. This […]

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Cloud Hosting Cost Optimization

The proposed research project will focus on analyzing and optimizing the cloud infrastructure used by SOTI to manage mobile devices globally. The intern will analyze the current cloud architecture and hosting costs, identify areas for improvement, and propose and implement optimizations to reduce system requirements and minimize costs. The expected benefit to SOTI is a […]

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Mining Event Tracing for Windows (ETW)

As cyber adversaries are becoming more creative, analysts are required to figure out more innovative ways to detect them to be able to respond before it’s too late. To detect any underlying threat inside a system, data logs are collected showing events and activities occurring inside the system. Adversaries nowadays are capable of evading detection […]

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Simulation of Remote Control on a Mobile Device

Mobile devices have become a crucial tool for businesses, and SOTI MobiControl is a leading mobile device management solution that provides remote control capabilities. However, to ensure proper product functionality and scalability of SOTI MobiControl, the company is looking to research the simulation of remote controlling a mobile device for automation testing. By testing the […]

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Smart Battery Research

The proposed project seeks to develop a Machine Learning-based software solution that accurately measures the capacity, State of Health (SoH), State of Charge (SoC), and cycle count of non-smart batteries utilized in mobile fleets. The project’s primary objective is to bridge the gap between smart and non-smart batteries by monitoring non-smart battery capacity and other […]

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Emerging Event Classification System

The goal is to develop a system that can rapidly detect and report emerging disease outbreaks worldwide by analyzing clusters of news articles using Large Language Models. The objective is to create an efficient and effective way of identifying “disease events” that can alert public health officials to take prompt action.

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