Belkasoft Evidence Center is a digital forensics and incident response platform that provides a comprehensive solution for law enforcement, corporate, and academic institutions to acquire, examine, and analyze digital evidence from various sources, including mobile devices, computers, drones, cars, and cloud storage. The platform offers a range of tools and features, including remote acquisition, incident response, and triage analysis, to help investigators and analysts uncover and analyze digital evidence.
Developing APIs to access memory on industrial control system devices.
XMLStarlet offers a suite of command line utilities for manipulating and querying XML documents.
A software that collects forensic artifacts on systems for forensic investigations.
Toolkit for post-mortem analysis of Docker runtime environments using forensic HDD copies.
Open source tool for generating YARA rules about installed software from a running OS.
A Python 2.x tool for memory analysis on Mac OS X systems with support for various OS versions and memory image export capabilities.
A digital forensics tool that provides read-only access to file-system objects from various storage media types and file formats.
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
Fabric Platform is a cybersecurity reporting solution that automates and standardizes report generation, offering a private-cloud platform, open-source tools, and community-supported templates.
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Wiz Cloud Security Platform is a cloud-native security platform that enables security, dev, and devops to work together in a self-service model, detecting and preventing cloud security threats in real-time.
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
Adversa AI is a cybersecurity company that provides solutions for securing and hardening machine learning, artificial intelligence, and large language models against adversarial attacks, privacy issues, and safety incidents across various industries.