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Understanding the New Cyber Threat: Autonomous LLMs as Hackers

The rapid advancement of Large Language Models (LLMs) like GPT-4 has ushered in a new era of cybersecurity concerns. Recent research (Fang et Al., 2024), found here, highlights a newly emerging threat: LLMs can autonomously hack websites, performing intricate tasks such as blind database schema extraction and SQL injections without prior knowledge of specific vulnerabilities. […]

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Vulcan Cyber – New ML Capability for Predictive Risk Prioritization

In today’s digital landscape, businesses face numerous cybersecurity challenges that can jeopardize their sensitive data and infrastructure. One such challenge is ensuring that vulnerabilities are assessed and prioritized effectively to prevent attacks and minimize potential risks. To address this, Vulcan Cyber has introduced a new machine learning (ML) capability that enables predictive risk prioritization. This article will summarize the content and highlight the lessons learned that businesses can consider in addressing their own similar challenges.

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New SEC Rules and the Impact on Enhanced Cybersecurity Disclosure

Introduction: The U.S. Securities and Exchange Commission (SEC) has recently approved new rules that require publicly traded companies to disclose details of cybersecurity attacks within four days of identifying their “material” impact on their finances. This development marks a significant change in the way organizations disclose computer breaches, aiming to provide consistency and comparability in […]

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