waf-engine

WAF & SOAR Engine A cloud-native Web Application Firewall and...

WireDown

WireDown Autonomous AI-Driven Honeypot in a Zero-Gravity Physi...

How Can MSSPs Scale Threat Detection Without Burning Out Their Analysts?

Disclosure: This article was provided by ANY.RUN. The information and analysis presented are based on their research and findings...

cve-honeypot

🪤 CVE Honeypot Farm Emulates vulnerable services based on rea...

Advance_WAF_project_CS

WAFinity - Infinite Protection, Intelligent Detection WAFin...

When Prompts Become Payloads: A Framework for Mitigating SQL Injection Attacks in Large Language Model-Driven Applications

Natural language interfaces to structured databases are becoming increasingly common, largely due to advances in large language models LLMs that enable users to query data using conversational input rather than formal query languages such as SQL. While this paradigm significantly improves usabili...

What’s new, updated, or recently released in Microsoft Security

New capabilities in Microsoft Agent 365; new Microsoft Defender and GitHub integration At Microsoft, security innovations are purpose-built to help every organization protect end-to-end with the speed and scale of AI. Our vision is simple: security should be ambient and autonomous, just like the ...

What’s new, updated, or recently released in Microsoft Security

New capabilities in Microsoft Agent 365; new Microsoft Defender and GitHub integration At Microsoft, security innovations are purpose-built to help every organization protect end-to-end with the speed and scale of AI. Our vision is simple: security should be ambient and autonomous, just like the ...

CTEM for Telecom Companies

Protect Network Infrastructure. Prevent Service Disruption. Secure 5G, IoT, and Subscriber Data. Telecommunications companies operate the most interconnected infrastructure on the planet. Your networks carry voice, data, and critical services for millions of subscribers, enterprises, and governme...

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,...

AI-powered defense for an AI-accelerated threat landscape

We are at an inflection point in cybersecurity. Recent advances in AI model capabilities are changing how vulnerabilities are discovered and exploited. AI models can autonomously discover weaknesses, chain multiple lower-severity issues into working end-to-end exploits, and produce working...

Threat Detection and Resilience Techniques in PRS-Assisted OTDOA 5G Positioning Systems

Precise positioning is a key enabler for emerging 5G applications, from autonomous transport to industrial automation. Yet the open physical layer PL leaves standard positioning reference signals PRSs vulnerable to manipulation. This work addresses the security of downlink observed time differenc...

SentinelSphere: Integrating AI-Powered Real-Time Threat Detection with Cybersecurity Awareness Training

The field of cybersecurity is confronted with two interrelated challenges: a worldwide deficit of qualified practitioners and ongoing human-factor weaknesses that account for the bulk of security incidents. To tackle these issues, we present SentinelSphere, a platform driven by artificial...

Graph Neural Network-Based DDoS Protection for Data Center Infrastructure

In light of rising cybersecurity threats, data center providers face growing pressure to protect their own management infrastructure from Distributed Denial-of-Service DDoS attacks. While tenant-managed cages generally fall outside the data center's direct security purview, a successful DDoS...

SoK: Harmonizing Attack Graphs and Intrusion Detection Systems

Detecting and responding to cyber attacks is increasingly difficult as high-volume, complex network traffic allows threats to remain concealed. While Intrusion Detection Systems IDSs identify anomalous behavior, Attack Graphs AGs serve as the primary threat model for analyzing attacker strategies...

5 Best Next Gen Endpoint Protection Platforms in 2026

Discover the best next-gen endpoint protection platforms in 2026, built to detect modern threats, stop credential abuse, and secure enterprise devices...

honeypot-server

ReportedIP Honeypot Server !License: BSL 1.1https://img.s...

Empowering Future Cybersecurity Leaders: Advancing Students through FINDS Education for Digital Forensic Excellence

The Forensics Investigations Network in Digital Sciences FINDS Research Center of Excellence CoE, funded by the U.S. Army Research Laboratory, advances Digital Forensic Engineering Education DFEE through an integrated research education framework for AI enabled cybersecurity workforce development...

LLM Scalability Risk for Agentic-AI and Model Supply Chain Security

Large Language Models LLMs & Generative AI are transforming cybersecurity, enabling both advanced defenses and new attacks. Organizations now use LLMs for threat detection, code review, and DevSecOps automation, while adversaries leverage them to produce malwares and run targeted social-engineeri...

Cloud-native Security for your Windows environment: Announcing the Wiz Runtime Sensor for Windows

Secure your Windows fleet without sacrificing performance. Wiz pairs real-time threat detection with a memory-safe architecture that scales efficiently to protect your essential cloud infrastructure...