Author: Anamika Pandey

Shai-Hulud 2.0: The NPM Worm That’s Eating the Software Supply Chain

Shai-Hulud 2.0: The NPM Worm That’s Eating the Software Supply Chain

Executive Summary In what security experts are calling one of the most severe JavaScript supply chain attacks in history, a self-propagating worm dubbed “Shai-Hulud 2.0” has compromised over 25,000 GitHub repositories and 700+ npm packages with a combined download count exceeding 100 million. The attack, which began on November 21, 2025, represents a dangerous evolution

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State of Cybersecurity 2025 for USA MSPs/MSSPs: Challenges, Threats, and the Seceon Platform Solution

State of Cybersecurity 2025 for USA MSPs/MSSPs: Challenges, Threats, and the Seceon Platform Solution

Introduction: The Cybersecurity Crisis for Service Providers The landscape of cybersecurity for USA Managed Service Providers (MSPs) and Managed Security Service Providers (MSSPs) in 2025 is defined by unprecedented complexity, operational frustration, and rapidly escalating threats. The “Best of Breed” tool stack, the evolution of nation-state APT groups, and the explosion in ransomware require a

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Why Network Monitoring Matters: How Seceon Enables Proactive, Intelligent Cyber Defence

Why Network Monitoring Matters: How Seceon Enables Proactive, Intelligent Cyber Defence

In today’s fast-evolving digital world, organizations increasingly rely on hybrid workforces, cloud-first strategies, and distributed infrastructures to gain agility and scalability. This transformation has expanded the network into a complex ecosystem spanning on-premises, cloud, and remote endpoints, vastly increasing the attack surface. Cyber adversaries exploit this complexity using stealth techniques like encrypted tunnels, credential misuse,

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ML-Powered Anomaly Detection: The New Backbone of Modern SOCs

ML-Powered Anomaly Detection: The New Backbone of Modern SOCs

In today’s digital-first world, cyber threats are evolving faster than ever. Traditional, rule-based detection tools can no longer keep pace with the sophistication of modern attacks. Organizations need a smarter, adaptive, and automated approach — this is where Machine Learning (ML)-powered anomaly detection comes in. This technology lies at the heart of next-generation Security Operations

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