Category: aiXDR

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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Beyond Rules and Alerts: How Behavioral Threat Analytics Redefines Modern Cyber Defense

Beyond Rules and Alerts: How Behavioral Threat Analytics Redefines Modern Cyber Defense

Executive Summary Modern cyber adversaries no longer depend on loud malware, obvious exploits, or easily identifiable indicators of compromise. Instead, they leverage legitimate credentials, trusted tools, and native system functions to operate silently within enterprise environments. These attacks are deliberately designed to resemble normal business activity, rendering traditional detection methods ineffective. Behavioral Threat Analytics (BTA)

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Defending Against Kimsuky: North Korea’s Elite Cyber Espionage Machine

Defending Against Kimsuky: North Korea’s Elite Cyber Espionage Machine

The Wake-Up Call: June 2025’s Unprecedented Breach In June 2025, the cybersecurity world witnessed something extraordinary-a massive data breach that pulled back the curtain on one of North Korea’s most sophisticated intelligence operations. The leaked data from Kimsuky (also known as APT43) revealed thousands of stolen government certificates, complete source code from foreign ministry systems,

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Cybersecurity Crossed the AI Rubicon: Why 2025 Marked a Point of No Return

Cybersecurity Crossed the AI Rubicon: Why 2025 Marked a Point of No Return

For years, artificial intelligence sat at the edges of cybersecurity conversations. It appeared in product roadmaps, marketing claims, and isolated detection use cases, but rarely altered the fundamental dynamics between attackers and defenders. That changed in 2025. This year marked a clear inflection point where AI became operational on both sides of the threat landscape.

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