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The latest insights and inspirations from the Vigilocity Intelligence Team.
Illuminating Material Breach Through Empirical Evidence: Facilitating Timely Disclosure, Compliance, and Remediation
Vigilocity has developed the Mythic platform. Mythic sifts through vast amounts of malicious data, identifying and prioritizing confirmed security breaches based on their material impact.
The platform's robust capabilities not only detect breaches but also offer valuable insights into the material impact of these incidents, empowering security, audit, and regulatory teams to make informed decisions and respond swiftly.
The Murky Waters of Materiality: Navigating Cybersecurity Disclosures in the Age of the SEC's New Rules
In the ever-evolving landscape of cybersecurity, the concept of "materiality" has emerged as a critical battleground. With the recent implementation of the SEC's Cybersecurity Disclosure Rules, corporations are now obligated to publicly report "material" cybersecurity incidents within a tight four-day timeframe. However, determining what constitutes a "material" breach remains a complex and nuanced exercise, fraught with legal and practical challenges. This article delves into the murky waters of materiality, dissecting the SEC's framework, analyzing industry practices, and exploring emerging trends in this critical area.
Identifying Malicious Domains to Preempt and Thwart Phishing and Spear-Phishing Attacks
The rising threat of phishing and spear-phishing attacks necessitates robust measures to protect individuals and organizations from falling victim to these malicious activities. This post explores how the identification of malicious domains plays a crucial role in preempting and thwarting such attacks and highlights the significance of promptly taking down these domains as the next generation of proactive defense. By providing an comprehensive overview of phishing and spear-phishing attacks, analyzing the importance of identifying malicious domains, discussing proactive strategies for detection and rapid domain takedown, supplemented by real-world examples and case studies, this post presents a compelling argument for the integration of immediate takedown practices in combating cyber threats.
Unveiling the Intricate World of Adversarial Examples in Neural Networks
In recent years, neural networks have revolutionized the field of artificial intelligence, exhibiting remarkable performance in various complex tasks. However, their susceptibility to adversarial examples has become a pressing concern, challenging the reliability and security of these powerful systems. Adversarial examples, which are specially crafted inputs, can deceive neural networks into generating incorrect outputs while remaining imperceptible to human observers.
Predictive Cyber Intelligence: Pioneering the Next Generation of Cyber Insurance
In the rapidly evolving landscape of cyber threats, insurance companies are continually seeking innovative ways to assess risks and mitigate potential losses. Traditional cyber insurance models have predominantly relied on historical data and reactive measures. However, with the emergence of predictive cyber intelligence, a new era of cyber insurance is on the horizon. This blog post aims to explore how predictive cyber intelligence will revolutionize the field of cyber insurance, providing a comprehensive overview of its potential benefits and real-world applications.
The Imminent Gold Rush for High-Quality Data in AI/ML Model Training
The rapid advancements in artificial intelligence (AI) and machine learning (ML) technologies have transformed numerous industries, paving the way for remarkable breakthroughs in healthcare, finance, autonomous systems, and more. Central to the success of AI/ML models is the availability of high-quality training data, which acts as the lifeblood that fuels their learning and predictive capabilities.
Threat Context Intelligence: A Next Generation Weapon for Cyber Defenders
In an era characterized by the escalating frequency and sophistication of cyber threats, traditional defense mechanisms are proving inadequate to protect sensitive digital assets. To combat these ever-evolving dangers, the cybersecurity community has turned to a cutting-edge approach known as Threat Context Intelligence.