Security Solutions

Threat hunting platform with pre-built queries and hypotheses for proactive detection.

HUNTER Platform

Generic signature format for SIEM systems enabling cross-platform detection rules.

Sigma HQ

Community-driven repository of YARA rules for malware detection and classification.

Yara-Rules Project

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

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