Cybersecurity for Mining: Hardening the Core of Extraction The mining sector is fundamental to global industry, but its unique operational environments present formidable cybersecurity challenges. Modern mining relies heavily on interconnected Industrial Control Systems (ICS), vast networks of IoT sensors, remote operations, and highly specialized heavy machinery. A cyberattack here [...]
Welcome to Skuggaheimar — the shadow worlds where threat actors dwell, and malware spreads like mythic poison through unseen paths. In this series, Mjolnir Security unearths the cultural patterns, motivations, and behaviors behind modern cyber adversaries. Through the lens of digital anthropology, we map the stories, tactics, and symbolic codes ...
The ongoing trade tensions between the United States and Canada, fueled by tariffs imposed by both the Trump administration and retaliatory measures from Prime Minister Trudeau, are poised to have far-reaching effects on numerous industries—including cybersecurity. Canadian cybersecurity firms offering Incident Response (IR), Digital Forensics, and SOC-as-a-Service are particularly vulnerable ...
The integration of artificial intelligence (AI) in various sectors has ushered in an era of unprecedented innovation and efficiency. However, as organizations increasingly rely on AI to process and analyze vast amounts of data, concerns about privacy and compliance with regulatory requirements have come to the forefront. This blog post ...
Artificial Intelligence (AI) is transforming industries, enhancing capabilities, and offering unprecedented opportunities for innovation. However, as AI-driven applications become more prevalent, they also bring with them significant privacy and security concerns. These concerns arise from the nature of AI technologies, which often require vast amounts of data, complex algorithms, and ...
In today’s digital age, the protection of sensitive data has become more crucial than ever. With the ever-evolving threat landscape, traditional data loss prevention (DLP) methods often fall short of detecting and mitigating sophisticated cyber threats. This is where Artificial Intelligence (AI) steps in, revolutionizing the way organizations safeguard their ...
Overview: Our AI Tools Usage and Data Leak Prevention Audit service is designed to address the complex challenges organizations face when their employees utilize AI tools in the workplace. This comprehensive service not only audits existing practices but also implements a robust framework for the secure usage and monitoring of ...
Overview: AI Risk Analysis systematically identifies and evaluates the potential risks associated with AI systems, focusing on issues like bias, fairness, and ethical considerations. Key Features: Benefits to the Organization: Why Should an Organization Take the Services: Our Approach: How to Engage Mjolnir (Next Steps):
Cybersecurity for Mining: Hardening the Core of Extraction The mining sector is fundamental to global industry, but its unique operational environments present formidable cybersecurity challenges. Modern mining relies heavily on interconnected Industrial Control Systems (ICS), vast networks of IoT sensors, remote operations, and highly specialized heavy machinery. A cyberattack here [...]
