Category: aiMSSP

Fighting AI with AI: The Rise of Multi-LLM Orchestrated Cyber Attacks

Fighting AI with AI: The Rise of Multi-LLM Orchestrated Cyber Attacks

The cybersecurity landscape has entered a dangerous new phase. Nation-state actors and sophisticated cybercriminals are orchestrating five to eight different Large Language Models simultaneously, creating adaptive breach campaigns that operate at machine speed. This represents the most dramatic transformation in cyber warfare since ransomware and it is rendering traditional defenses obsolete. The Multi-LLM Attack Arsenal

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The State of U.S. Manufacturing Cybersecurity in 2025 and Why Seceon’s Unified Platform Is Becoming Essential

The State of U.S. Manufacturing Cybersecurity in 2025 and Why Seceon’s Unified Platform Is Becoming Essential

The United States manufacturing sector is undergoing one of the most significant transformations in its history. As factories adopt Industry 4.0 technologies, decades-old production lines are being woven into modern digital ecosystems. Industrial control systems, robotics, sensors, and cloud analytics are now interconnected in ways that improve efficiency but also create unprecedented exposure to cyber

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Zero Trust AI Security: The Comprehensive Guide to Next-Generation Cybersecurity in 2026

Zero Trust AI Security: The Comprehensive Guide to Next-Generation Cybersecurity in 2026

The traditional perimeter-based security model has become obsolete in today’s distributed digital environment. With 82% of organizations now operating in hybrid or multi-cloud infrastructures and remote work becoming the standard, the concept of a secure network boundary no longer exists. Zero Trust AI Security represents the evolution of cybersecurity strategy-combining the principles of zero trust

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From Alert Fatigue to Autonomous Defense: The Next-Gen SOC Automation Platform

From Alert Fatigue to Autonomous Defense: The Next-Gen SOC Automation Platform

Introduction: The SOC Is at a Breaking Point Security Operations Centers (SOCs) were never designed for today’s threat landscape. Cloud sprawl, hybrid workforces, encrypted traffic, and AI-driven adversaries have pushed traditional SOC models beyond their limits. Analysts are inundated with alerts, investigations are manual and time-consuming, and response often comes too late. Despite investments in

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