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AI-Powered Malware Analysis: Detecting Persistent Threats on Sensors
An analysis using Gemma4 with Ollama reveals high-volume malware downloads on DShield sensors, indicating persistent actor activity and critical compromise risks.
Navigating the Hunter's Paradox: AI in Threat Hunting
Explore the Hunter's Paradox, where human limits in threat hunting meet AI's trust issues, and redefine hunting for an AI-driven future.
Cyber Threat Hunting: A Strategic Intelligence Guide
Master modern cyber threat hunting by embracing real-time threat intelligence. This guide covers methodologies, tools, and frameworks for proactive adversary detection.
Beacon Security Secures $13M to Scale Security Data Platform
Beacon Security raises $13 million in seed funding to help organizations detect and hunt assets at machine speed by eliminating security data silos.
YARA-X 1.18.0 & 1.19.0 Release: Enhancing Malware Detection
YARA-X versions 1.18.0 and 1.19.0 bring key improvements and bug fixes, enhancing malware analysis and threat hunting capabilities for security professionals.
AI-Native Contextual Security: Nebulock's $25M Funding Impact
Nebulock secures $25M for AI-native contextual security, emphasizing advanced threat hunting, proactive detection, and behavioral analytics capabilities.
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YARA-X 1.17.0 Release: Enhanced Performance for Malware Analysis
YARA-X version 1.17.0 release introduces five performance improvements and a bugfix for the Rust-based malware detection engine. Enhance your scanning speed.
YARA-X 1.16.0 Release: Performance Gains for Malware Detection
YARA-X 1.16.0 introduces key improvements and bugfixes for the Rust-based pattern matching engine. Explore how these updates optimize malware detection.
Detecting Malicious msiexec Remote Payload Execution via SIEM Logs
Analyze how attackers abuse Windows Installer (msiexec.exe) to fetch remote payloads and learn technical strategies for detection and mitigation.
AI Digital Twin Security Implementation for Enterprise Threat Hunting
JPMorgan Chase uses digital twins and fingerprints to model 300,000 users, reducing false positives and automating detection in high-volume environments.
YARA-X 1.14.0 Release: Enhanced Performance and Module Stability
The YARA-X 1.14.0 release introduces critical module improvements and bug fixes to optimize high-performance malware scanning and threat detection.
Hypervisor-Based Persistence: Abusing Virtual Machines for Stealth
Analysis of how threat actors leverage virtualization platforms to host malicious guest OSs, bypassing host-level EDR and maintaining persistent access.
Optimizing Honeypot Log Analysis Using AI and LLM Orchestration
An analysis of how AI-assisted log processing reduces noise in DShield and Cowrie honeypot data, enabling analysts to identify sophisticated threat patterns.