Security Solutions

HUNTER Platform serves as a comprehensive threat hunting solution designed to enhance organizations' proactive security capabilities. The platform provides security teams with structured approaches to identify potential threats before they cause significant damage. It focuses on transforming reactive security operations into proactive hunting initiatives.The platform's core strength lies in its extensive library of pre-built queries and hypotheses that guide security analysts through systematic threat hunting processes. These ready-made components eliminate the need for teams to develop hunting strategies from scratch. The queries target common attack patterns, suspicious behaviors, and indicators of compromise across various threat vectors.HUNTER Platform integrates with existing security infrastructure to analyze data from multiple sources including endpoints, networks, and cloud environments. The solution supports various data formats and security tools commonly found in enterprise environments. This integration capability allows organizations to leverage their current security investments while enhancing hunting capabilities.The platform distinguishes itself through its hypothesis-driven approach to threat hunting. Rather than relying solely on automated detection, it empowers analysts to test specific theories about potential threats. This methodology helps security teams develop deeper understanding of their environment and potential attack vectors.Enterprise security teams, managed security service providers, and security operations centers utilize HUNTER Platform to strengthen their threat detection programs. Organizations with mature security operations often deploy the solution to enhance their existing capabilities. The platform proves particularly valuable for teams seeking to move beyond traditional signature-based detection methods.The solution addresses the growing need for proactive security measures in today's threat landscape. As attackers become more sophisticated and evasive, traditional reactive approaches often prove insufficient. HUNTER Platform enables organizations to stay ahead of threats through systematic hunting methodologies.Within the broader cybersecurity ecosystem, HUNTER Platform complements SIEM systems, threat intelligence platforms, and incident response tools. The platform enhances overall security posture by providing structured approaches to threat discovery and investigation. It serves as a bridge between automated detection systems and human analytical capabilities.

HUNTER Platform is a threat hunting solution that provides security teams with pre-built queries and hypotheses for proactive threat detection and investigation.

HUNTER Platform offers threat hunting tools with pre-built queries and hypotheses for proactive cybersecurity detection and investigation.

HUNTER Platform

Sigma HQ serves as the central hub for the Sigma project, an open-source initiative that has established a generic signature format for Security Information and Event Management (SIEM) systems. The platform addresses one of the most persistent challenges in cybersecurity: the lack of standardization in detection rules across different SIEM platforms and security tools.The Sigma format functions as a universal language for describing detection methods, allowing security teams to write rules once and deploy them across multiple platforms. This approach eliminates the need to rewrite detection logic for each specific SIEM system, significantly reducing development time and potential errors. The format supports complex detection scenarios while maintaining readability for human analysts.Sigma HQ maintains an extensive library of detection rules covering various attack techniques, malware families, and suspicious behaviors. These rules are continuously updated by a global community of security researchers and practitioners. The platform categorizes rules according to the MITRE ATT&CK framework, providing structured coverage of known adversary tactics and techniques.Organizations using Sigma benefit from vendor-agnostic detection capabilities that can be translated into native query languages for platforms including Splunk, Elastic, QRadar, ArcSight, and many others. This flexibility prevents vendor lock-in and enables security teams to maintain consistent detection coverage even when changing SIEM platforms. The format also supports automated rule conversion through various translation tools.Security operations centers, threat hunters, and incident response teams rely on Sigma rules for standardized detection across their environments. The format proves particularly valuable for organizations operating hybrid security stacks or those seeking to implement detection-as-code practices. Many commercial security vendors have adopted Sigma as a standard format for sharing threat intelligence and detection content.The Sigma project represents a significant step toward democratizing threat detection capabilities. By providing a common framework for expressing detection logic, Sigma HQ enables smaller organizations to benefit from enterprise-grade detection rules while allowing larger organizations to share knowledge more effectively across the cybersecurity community.

Sigma HQ provides a generic signature format for SIEM systems that enables cross-platform detection rules and standardized threat hunting across diverse security environments.

Sigma HQ offers generic signature format for SIEM systems, enabling cross-platform detection rules and standardized threat hunting across security tools.

Sigma HQ

The Yara-Rules Project stands as one of the most comprehensive community-driven repositories of YARA rules available to security professionals worldwide. This open-source initiative aggregates detection rules from security researchers, malware analysts, and threat hunters to create an extensive database for identifying malicious software and suspicious activities.The repository contains thousands of YARA rules organized into categories covering major malware families, exploit kits, webshells, and emerging threats. Rules are continuously updated by contributors who analyze new samples and develop signatures for detecting variants of known threats. The project maintains strict quality standards through peer review processes and testing protocols.What distinguishes this repository is its collaborative nature and comprehensive coverage of the threat landscape. Contributors include researchers from major security vendors, independent analysts, and academic institutions. The project provides rules for both common malware families and sophisticated advanced persistent threat campaigns, making it valuable for organizations of all sizes.Security teams integrate these rules into their YARA scanning infrastructure to enhance malware detection capabilities across endpoints, network traffic, and file repositories. Incident response teams rely on the rules for forensic analysis and threat classification during security investigations. Malware researchers use the repository as a reference for understanding attack patterns and developing new detection methodologies.The project serves multiple use cases within enterprise security operations:<ul><li>Endpoint protection - Integration with antivirus and EDR solutions for real-time scanning</li><li>Network security - Detection of malicious payloads in network traffic and email attachments</li><li>Threat hunting - Proactive searching for indicators of compromise across enterprise environments</li><li>Malware analysis - Classification and family attribution during reverse engineering processes</li></ul>The Yara-Rules Project represents a critical resource in the cybersecurity community's collective defense efforts. Its open-source model enables rapid response to emerging threats while providing organizations with production-ready detection capabilities. The repository continues to evolve as new contributors join and threat landscapes shift, maintaining its position as an essential tool for modern security operations.

Community-driven repository providing open-source YARA rules for malware detection, threat hunting, and security research across diverse threat landscapes.

Open-source YARA rules repository for malware detection & threat hunting. Community-driven security research platform with comprehensive rule sets.

Yara-Rules Project

Comprehensive cybersecurity services, tools, and threat intelligence for modern enterprises

The NIST Cybersecurity Framework stands as one of the most widely adopted cybersecurity standards globally. Developed by the National Institute of Standards and Technology, this voluntary framework provides organizations with a structured approach to identifying, protecting against, detecting, responding to, and recovering from cybersecurity incidents.The framework organizes cybersecurity activities into five core functions that work together to create a comprehensive security posture. Identify helps organizations understand their systems, assets, and risks. Protect focuses on implementing safeguards to limit or contain potential cybersecurity events. Detect enables timely discovery of cybersecurity incidents.Respond provides guidance for taking action when cybersecurity incidents occur, including detailed incident response playbooks. Recover outlines activities for restoring capabilities and services impaired by cybersecurity incidents. Each function contains categories and subcategories that break down into specific, actionable security controls.What distinguishes the NIST Framework is its flexibility and risk-based approach. Organizations can tailor the framework to their specific industry, size, and risk tolerance. The framework references established standards and guidelines from organizations like ISO, COBIT, and SANS, creating a unified approach that builds on existing best practices.The framework serves organizations across all sectors, from small businesses to large enterprises and government agencies. Critical infrastructure sectors particularly benefit from its comprehensive guidance. Many organizations use it as a foundation for security program development, risk assessment, and compliance reporting.Implementation typically involves creating a current profile of existing cybersecurity practices, developing a target profile based on business requirements, and identifying gaps between current and desired states. The framework's three implementation tiers help organizations understand their risk management processes and external participation levels.The NIST Cybersecurity Framework has become a cornerstone of modern cybersecurity governance. Its influence extends beyond individual organizations, shaping industry standards and regulatory expectations. Regular updates ensure the framework remains relevant as threats and technologies evolve, making it an essential reference for cybersecurity professionals worldwide.

The NIST Cybersecurity Framework provides a comprehensive approach to managing cybersecurity risks through five core functions and implementation guidance.

NIST Cybersecurity Framework offers incident response playbooks and cybersecurity best practices for organizations to manage and reduce cyber risks.

Admin User

NIST Cybersecurity Framework

Dragos operates as a specialized industrial cybersecurity company focused exclusively on protecting operational technology (OT) environments and critical infrastructure systems. The platform addresses the unique security challenges faced by industrial control systems, SCADA networks, and manufacturing operations that traditional IT security solutions often cannot adequately protect.The company's core offering centers around the Dragos Platform, which provides comprehensive visibility into industrial networks and assets. This platform combines asset discovery, network monitoring, and threat detection capabilities specifically designed for OT environments. The solution identifies unauthorized changes, suspicious communications, and potential security incidents within industrial systems.Threat intelligence services represent another key component of Dragos' offerings. The company maintains dedicated research teams that track industrial-focused threat actors and attack campaigns targeting critical infrastructure. This intelligence feeds directly into the platform's detection capabilities and helps organizations understand emerging threats to their specific industry sectors.Dragos distinguishes itself through its exclusive focus on industrial cybersecurity rather than attempting to adapt general IT security tools for OT use. The platform understands industrial protocols, recognizes normal operational patterns, and can differentiate between legitimate operational activities and potential security threats. This specialization extends to the company's incident response services, which include teams trained specifically in industrial system recovery and forensics.The platform serves electric utilities, oil and gas companies, water treatment facilities, manufacturing organizations, and other critical infrastructure operators. These organizations typically deploy Dragos to gain visibility into previously unmonitored OT networks, detect advanced persistent threats, and maintain compliance with industrial security regulations.In the broader cybersecurity landscape, Dragos fills a critical gap between traditional network security solutions and the specialized requirements of industrial environments. The platform integrates with existing security operations centers while providing the industrial-specific context and expertise that general cybersecurity tools typically lack. This positioning makes Dragos particularly valuable for organizations operating critical infrastructure that requires both robust security and uninterrupted operational availability.

Dragos is an industrial cybersecurity platform specializing in operational technology (OT) and critical infrastructure protection through threat detection, vulnerability management, and incident response services.

Dragos industrial cybersecurity platform protects critical infrastructure and OT environments with threat detection, vulnerability management, and response.

Dragos

Threat Care

Services

Tools

Threat intelligence and security research

Intelligence

Indicators of Compromise (IOC) feeds provide structured, machine-readable threat indicators including file hashes, IP addresses, domain names, URLs, registry keys, and other technical artifacts that can be used to detect and block known threats across security tools and platforms. These feeds enable automated threat detection, real-time blocking of malicious infrastructure, and rapid identification of compromise indicators within organizational environments through systematic threat indicator distribution and integration.

IOC feeds typically include current and historical threat indicators in standardized formats (STIX/TAXII, CSV, JSON), confidence and reliability ratings for each indicator, context and attribution information, indicator type classification and categorization, temporal validity periods, and integration APIs for automated security tool consumption. Advanced feeds provide custom indicator filtering, threat campaign correlation, and priority scoring based on organizational threat profiles and risk factors.

Organizations integrate IOC feeds into firewalls, intrusion detection systems, endpoint protection platforms, SIEM solutions, and threat hunting tools to automatically detect and block known malicious indicators, reduce time-to-detection for current threats, improve incident response through rapid compromise identification, validate security controls against current threat indicators, and enhance threat hunting effectiveness through proven compromise indicators. This automated approach enables faster threat detection, more effective prevention controls, and improved security operations efficiency.

IOC feeds providing file hashes, IPs, domains, and other threat indicators.

Indicators of Compromise (IOCs)

YARA rule repositories provide comprehensive collections of pattern-matching rules for malware detection, classification, and analysis, enabling organizations to implement advanced file-based threat detection capabilities across endpoints, email systems, and file analysis platforms. These rule sets combine expert malware analysis with community-driven development to deliver high-quality detection content that identifies malware families, suspicious file characteristics, and known attack tools through sophisticated pattern matching algorithms.

YARA rule collections typically include malware family detection rules, generic suspicious behavior patterns, exploit kit identification rules, APT group attribution rules, file format analysis patterns, and custom rule development frameworks. Advanced repositories provide rule quality ratings, false positive optimization, automatic rule updates, performance optimization guidance, and integration support for various security platforms and analysis tools.

Organizations implement YARA rules in endpoint protection systems, email security platforms, sandbox analysis environments, incident response investigations, and threat hunting operations to detect known malware variants, identify suspicious file characteristics, classify unknown samples, attribute malware to threat actors, and enhance file analysis capabilities. This pattern-based detection enables more effective malware identification, better threat attribution, and improved security analysis through proven detection patterns and expert-developed rule sets.

YARA rule repositories for malware detection and classification.

YARA Rules

SIGMA rule collections provide platform-agnostic detection rules that can be translated and implemented across different SIEM platforms, log analysis tools, and security monitoring systems to detect specific attack techniques, suspicious behaviors, and threat actor activities. These standardized rule formats enable organizations to implement consistent threat detection capabilities regardless of their underlying security technology stack while benefiting from community-driven detection content development and validation.

SIGMA rule repositories include attack technique detection rules mapped to MITRE ATT&CK, suspicious behavior patterns, threat actor TTP detection, log source-specific detection content, generic anomaly detection rules, and automated rule translation tools for various SIEM platforms. Advanced collections provide rule quality assessment, false positive optimization, performance tuning guidance, and custom rule development frameworks for organization-specific detection requirements.

Organizations leverage SIGMA rules to implement consistent detection capabilities across heterogeneous security tool environments, accelerate SIEM content development through proven detection rules, improve threat detection coverage through community-validated content, standardize detection logic across multiple platforms, and reduce detection content development overhead. This standardized approach enables more effective threat detection, better detection content portability, and improved security monitoring through platform-independent detection rules and proven threat detection methodologies.

SIGMA rule collections for SIEM-agnostic threat detection.

SIGMA Rules

Threat hunting query collections provide pre-built search queries, analysis techniques, and hunting hypotheses that enable security teams to proactively search for threats, suspicious activities, and compromise indicators within their environments. These query sets combine expert threat hunting knowledge with proven methodologies to deliver actionable hunting content that can be immediately implemented across various data sources and security platforms to improve threat detection capabilities.

Threat hunting resources typically include platform-specific hunting queries for SIEM systems, endpoint detection platforms, and log analysis tools, hypothesis-driven hunting methodologies, attack technique-focused hunting guides, threat actor-specific hunting content, and custom query development frameworks. Advanced collections provide hunting automation capabilities, result analysis guidance, false positive reduction techniques, and integration with threat intelligence for context-driven hunting activities.

Organizations implement threat hunting queries to proactively search for undetected threats in their environments, validate security control effectiveness through active threat searching, improve analyst skills through proven hunting methodologies, reduce time-to-detection for sophisticated threats, and enhance overall security posture through systematic threat discovery. This proactive approach enables earlier threat detection, better security team capabilities, and improved threat visibility through structured hunting activities and expert-developed search methodologies.

Threat hunting queries and hypotheses for proactive threat discovery.

Threat Hunting Queries

Incident response playbooks and runbooks provide standardized procedures, decision frameworks, and operational guidance for responding to cybersecurity incidents, enabling organizations to implement consistent, effective response processes that reduce incident impact, accelerate recovery, and ensure comprehensive incident handling. These procedural documents combine industry best practices with lessons learned from real-world incidents to deliver actionable response guidance for various incident types and scenarios.

Response procedure collections typically include incident type-specific playbooks, escalation and communication procedures, evidence collection and preservation guidance, containment and eradication strategies, recovery and post-incident activities, and automation integration for response orchestration. Advanced playbook collections provide customization frameworks, training materials, tabletop exercise scenarios, and integration guidance for security orchestration platforms and incident management systems.

Organizations implement incident response playbooks to standardize response procedures across security teams, reduce response time and improve response effectiveness, ensure compliance with incident response requirements, provide training resources for security personnel, and continuously improve response capabilities through structured procedures and lessons learned integration. This systematic approach enables more effective incident response, better team coordination, and improved organizational resilience through proven response methodologies and standardized operational procedures.

Incident response playbooks and runbooks for standardized response procedures.

Tactical Intelligence

Filter Security Solutions

HUNTER Platform

Sigma HQ

Yara-Rules Project