DNS Monitoring System with HTTP Dashboard

This Python script implements a small Security Operations Center Mini SOC that focuses on DNS traffic monitoring...

How to Scale Phishing Detection in Your SOC: 3 Steps for CISOs

Phishing has quietly turned into one of the hardest enterprise threats to expose early. Instead of crude lures and obvious payloads, modern campaigns rely on trusted infrastructure, legitimate-looking authentication flows, and encrypted traffic that conceals malicious behavior from traditional...

Attackers Don't Just Send Phishing Emails. They Weaponize Your SOC's Workload

The most dangerous phishing campaigns aren’t just designed to fool employees. Many are designed to exhaust the analysts investigating them. When a phishing investigation takes 12 hours instead of five minutes, the outcome can shift from a contained incident to a breach. For years, the cybersecuri...

AgenticCyOps: Securing Multi-Agentic AI Integration in Enterprise Cyber Operations

Multi-agent systems MAS powered by LLMs promise adaptive, reasoning-driven enterprise workflows, yet granting agents autonomous control over tools, memory, and communication introduces attack surfaces absent from deterministic pipelines. While current research largely addresses prompt-level...

Offensive-Security-KnowledgeBase

Offensive-Security-KnowledgeBase Str...

Scaling security operations with Microsoft Defender autonomous defense and expert-led services

Today’s security leaders are operating in an environment of truncated cyberattack timelines with aging defenses built for slower, linear cyberthreats that can no longer keep pace with advanced cyberthreats. AI-powered threat actors now use social engineering and malware that adapt in real time,...

Alert Fatigue Isn’t Going Away. Here’s How Modern SOCs Are Fighting Back

Security teams have been talking about alert fatigue for years. And yet, for many SOCs, the problem isn’t getting better. It’s getting worse. As environments expand across cloud, SaaS, identity, and legacy systems, analysts are flooded with signals that all demand attention but rarely arrive with...

From arcades to Azure: Felix’s security research journey

When you talk with Felix, you quickly get the sense that he has always been propelled by curiosity and by a need for something that truly challenges him. Today, he is a successful independent security researcher who uncovers vulnerabilities across Microsoft cloud services. However, his path into...

Webinar: How Modern SOC Teams Use AI and Context to Investigate Cloud Breaches Faster

Cloud attacks move fast — faster than most incident response teams. In data centers, investigations had time. Teams could collect disk images, review logs, and build timelines over days. In the cloud, infrastructure is short-lived. A compromised instance can disappear in minutes. Identities rotat...

Mate Security Introduces the Security Context Graph, an Approach to Smarter SOCs

New York, USA, 17th February 2026, CyberNewswire...

My Day Getting My Hands Dirty with an NDR System

My objective As someone relatively inexperienced with network threat hunting, I wanted to get some hands-on experience using a network detection and response NDR system. My goal was to understand how NDR is used in hunting and incident response, and how it fits into the daily workflow of a Securi...

KOREX

⚡ KOREX FRAMEWORK ⚡ Advanced Security Operations Framework "Kore...

The strategic SIEM buyer’s guide: Choosing an AI-ready platform for the agentic era

As the agentic era reshapes security operations, leaders face a strategic inflection point: legacy security information and event management SIEM solutions and fragmented toolchains can no longer keep pace with the scale, speed, and complexity of modern cyberthreats. Organizations can choose to...

Human-Centered Explainability in AI-Enhanced UI Security Interfaces: Designing Trustworthy Copilots for Cybersecurity Analysts

Artificial intelligence AI copilots are increasingly integrated into enterprise cybersecurity platforms to assist analysts in threat detection, triage, and remediation. However, the effectiveness of these systems depends not only on the accuracy of underlying models but also on the degree to whic...

From Triage to Threat Hunts: How AI Accelerates SecOps

If you work in security operations, the concept of the AI SOC agent is likely familiar. Early narratives promised total autonomy. Vendors seized on the idea of the "Autonomous SOC" and suggested a future where algorithms replaced analysts. That future has not arrived. We have not seen mass layoff...

Exploit for Code Injection in Vmware Spring_Framework

CVE-2022-22965-Spring4Shell-Security-Operations-Analysis A com...

Introducing the Microsoft Defender Experts Suite: Elevate your security with expert-led services

Security teams are being pushed to their limits as AI‑powered cyberattacks grow in speed, scale, and sophistication—and only 14% of organizations surveyed by the World Economic Forum report they feel confident they have the right people and skills needed to meet their cybersecurity objectives.1 A...

Protecting Against Zero-Day Vulnerabilities with SOC-Level ASM Alert

Outpacing React2Shell using pre-breach alerts from Wiz ASM to eliminate exploitable risk before attackers find them...

How to Integrate AI into Modern SOC Workflows

Artificial intelligence AI is making its way into security operations quickly, but many practitioners are still struggling to turn early experimentation into consistent operational value. This is because SOCs are adopting AI without an intentional approach to operational integration. Some teams...

PROVEX: Enhancing SOC Analyst Trust with Explainable Provenance-Based IDS

Modern intrusion detection systems IDS leverage graph neural networks GNNs to detect malicious activity in system provenance data, but their decisions often remain a black box to analysts. This paper presents a comprehensive XAI framework designed to bridge the trust gap in Security Operations...