Evidence at the Moment of Attack. Answers at AI Speed.

Wiz Sensor Forensics is now generally available - automatically capturing forensic artifacts at the moment of detection and using AI to accelerate investigation for SOC and IR teams...

3 SOC Steps that Shut Down Incident Risks Early

Most organizations still picture cyber defense as a fortress problem: build stronger walls, add more guards, buy another detection engine. But modern incidents rarely crash through the front gate. They drift in disguised as routine activity, hide inside legitimate processes, and quietly accumulat...

The Alert Firehose Finally Meets Its Match

Ask a cybersecurity pro about Network Detection and Response NDR and you might still hear "Noisy," "Too much data." But ask the teams running NDR that includes agentic AI capabilities and you'll hear they're actually using it to catch threats earlier, triage faster, and chase fewer false positive...

FALCON-C: Flow-Based Analysis and Labeling for Connected Vehicular Network Cybersecurity

Along with the recent rise in popularity of Electric Vehicles EVs, Electric Vehicle Supply Equipment EVSE has emerged as a new target for cyber attacks. Therefore, ensuring the security and integrity of network communication between EVSE components and vehicular clients is a significant challenge...

SOC-Alert-Investigation-Portfolio

SOC Alert Investigation Portfolio This repository contains pr...

How to Reduce Phishing Exposure Before It Turns into Business Disruption

What happens when a phishing email looks clean enough to pass through security, but dangerous enough to expose the business after one click? That is the gap many SOCs still struggle with: the attacks that leave teams unsure what was exposed, who else was targeted, and how far the risk has spread...

Continuous Detection, Continuous Response: Mate Security Redefines the Modern SOC

New York, USA, 18th May 2026, CyberNewswire...

LITE-SOC: Lightweight Security Operations Center Simulator for Cybersecurity Education

This innovative practice WIP paper describes LITE-SOC, a lightweight web-based Security Operations Center SOC simulator designed for instructor-led cybersecurity education. SOC analysts must triage large volumes of alerts, separate genuine threats from false positives, and communicate decisions...

Webinar: What the Riskiest SOC Alerts Go Unanswered - and How Radiant Security Can Help

Why do the Riskiest SOC Alerts Go Unanswered? Security operations teams are drowning in alerts. But the real problem isn't always alert volume; it's the blind spots. The most dangerous alerts are the ones no one is investigating. A recent report from The Hacker News examined why certain high-risk...

Governing AI-Assisted Security Operations: A Design Science Framework for Operational Decision Support

Engineering managers increasingly must decide how to introduce generative artificial intelligence AI, retrieval-augmented generation, and coding agents into high-risk operational functions without weakening accountability, privacy, cost discipline, or auditability. The central message of this stu...

One Missed Threat Per Week: What 25M Alerts Reveal About Low-Severity Risk

The dark secret of enterprise security operations is that defenders have quietly institutionalized the practice of not looking. This is not just anecdotal, but rather backed by a recent report investigating more than 25 million security alerts, including informational and low-severity, across liv...

OT Cybersecurity Challenges for ICS in 2026

OT Cybersecurity Challenges for ICS in 2026 OT cybersecurity has become a board-level risk because industrial control systems are no longer isolated, predictable, or invisible to attackers. In 2026, security teams protecting manufacturing plants, utilities, transportation systems, energy...

AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Comprehensive Survey

Security alert screening is the downstream task of filtering, prioritizing, correlating, and contextualizing alerts for analyst attention in Security Operations Centers. This survey reviews artificial-intelligence-driven alert screening and alert-fatigue mitigation from 2015 to 2026. We synthesiz...

​​Microsoft named an overall leader in KuppingerCole Analyst’s 2026 Emerging AI Security Operations Center (SOC) report ​​

Security operations are entering a new phase. As attack techniques grow faster and more complex, the effectiveness of a SOC depends less on collecting more data and more on how well platforms can turn context into action at scale. KuppingerCole Analysts’ 2026 Emerging AI Security Operations Cente...

Exploit for SQL Injection in Progress Moveit_Cloud

CVE-2023-34362 MOVEit Transfer Vulnerability Analysis Proj...

SOCpilot: Verifying Policy Compliance for LLM-Assisted Incident Response

Security operations centers SOCs are beginning to use large language models LLMs as copilots to draft incident-response plans. These plans may include actions that are valid per the catalog but still violate mandatory steps, required ordering, or approval gates before analyst review. SOCpilot mak...

Toward Autonomous SOC Operations: End-To-End LLM Framework for Threat Detection, Query Generation, and Resolution in Security Operations

Security Operations Centers SOCs face mounting operational challenges. These challenges come from increasing threat volumes, heterogeneous SIEM platforms, and time-consuming manual triage workflows. We present an end-to-end threat management framework that integrates ensemble-based detection,...

AsmRAG: LLM-Driven Malware Detection by Retrieving Functionally Similar Assembly Code

Deep learning malware detectors achieve high classification accuracy but suffer from severe interpretability limitations, typically returning probabilistic verdicts that lack forensic context. We introduce AsmRAG, a framework performing malware analysis through Assembly-Level Retrieval-Augmented...

A Sociotechnical, Practitioner-Centered Approach to Technology Adoption in Cybersecurity Operations: An LLM Case

Technology for security operations centers SOCs has a storied history of slow adoption due to concerns about trust and reliability. These concerns are amplified with artificial intelligence, particularly large language models LLMs, which exhibit issues such as hallucinations and inconsistent...

Can SOC Operators Explain Their Decisions While Triaging Alarms? A Real-World Study

Security Operations Centers SOCs are pivotal in modern enterprises. Tasked to monitor complex network environments constantly under attack, SOCs can be active 24/7 and can include hundreds of operators supported by state-of-the-art technologies. Abundant research has studied the internal processe...