cloud-sniper

Cloud Sniper : Detection-as-code platform Cloud Sniper is a comprehensive platform meticulously designed to streamline Cloud Security Operations. It swiftly responds to security incidents by analyzing and correlating cloud artifacts, ensuring a holistic view of the company's cloud security postur...

Can Risk-Based Alerting Mitigate Cybersecurity Alert Fatigue?

Security operations centers SOCs face large numbers of false alerts, making detection of cyberattacks difficult under typical resource constraints. Risk-based alerting RBA has been proposed as a means to reduce false alerts and has reportedly succeeded in doing so in various enterprise deployment...

Microsoft named a Leader in the 2026 IDC MarketScape for MDR/MXDR for the Enterprise

Security teams are being asked to defend a growing attack surface with fewer people and around the clock, against threat actors who never take a night off. As cyberattackers increasingly use AI to launch and scale campaigns, the volume, speed, and sophistication of threats continue to rise. Closi...

From Chasing Ghosts to Missed Attacks: Perspectives and Perceptions of SOC Practitioners on LLM Integration, Risks, and Readiness

Security Operations Centers SOCs process large volumes of security events, requiring analysts to accurately detect and assess ongoing cyberattacks under time pressure. Recent advances in Large Language Models LLMs suggest potential benefits for security operations, yet their practical suitability...

A SecOps Practitioner's View of Project Glasswing and the Halcyon Imperative

This paper is written from the ground level, from the perspective of someone running a Security Operations Center SOC and an Attack Surface Management program day to day. It is not a strategic overview for the boardroom. It is a practitioner's assessment of what Glasswing changes functionally, wh...

Thinking Fast and Slow in the SOC: The Case for Combining Autonomous AI with Analyst Copilots

A few days ago, I was sitting with the CISO of a Fortune 50 company, walking through how his security team was thinking about AI agents in the SOC. Smart team. Serious program. They had already connected Claude to a few detection tools and were seeing real value in specific investigations. But as...

Explaining Intrusion Alert Decisions of Deep Learning-Based Network Intrusion Detection Systems for Security Analysts

In this paper, we present EXP-SEC, a novel framework which can explain the intrusion detection decisions of DL-based NIDS which lead to security alerts in a way that is aligned with the domain knowledge of analysts working in Security Operations Center SOC. We highlight the following features of...

ai-soc-simulator

AI SOC Simulator 🛡️ A React-based web application designed to...

Your Automated Pentest Looks Clean. See What It Missed in This Expert Webinar

Your pentest report looks clean. That might be the problem. Run automated pentesting long enough, and the new findings start to dry up. By the third or fourth run, fewer issues appear. The report looks stable. Leadership reads "stable" as "secure." It usually isn't. The work slows down. The risk...

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...

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...

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...

​​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...

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,...

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...