A SaaS tool that turns threat intelligence and security telemetry into prioritized detection-rule improvements for security teams.
Added Jun 8, 2026
Last signal 1d ago
Security teams are expected to continuously analyze threat intelligence, telemetry, anomalies, and emerging attack vectors, then translate those findings into better detection and response coverage. This work is data-heavy, repetitive, and often depends on scarce analysts who can connect threat research with actionable detection engineering.
The product ingests threat intelligence feeds, security telemetry, detection rules, and incident data to identify emerging patterns and coverage gaps. It recommends prioritized detection improvements, ML-backed anomaly hypotheses, and risk-ranked rule updates that analysts can review and push into existing SIEM, EDR, or cloud security workflows.
Job postings repeatedly show companies investing in large-scale telemetry analysis, ML-based threat detection, anomaly detection, and proactive threat hunting. The threat landscape is changing quickly enough that manual detection tuning is becoming a bottleneck.
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IntelGraph is an open-source threat intelligence platform that correlates IOCs across multiple intelligence feeds, resolves conflicting data, and explains why every alert was generated. It automatically ingests data from URLhaus, CISA KEV, OTX, Shodan, and VirusTotal, builds a knowledge graph of relationships between IPs, domains, and CVEs, supports STIX 2.1/TAXII 2.1 export for SIEM integration, and includes automated response playbooks.. Product Hunt launch with 6 votes and 5 comments.
Ground detection logic in factual threat data by leveraging proven exploit paths from Red teams, Orange teams, and the Vulnerability Reward Program (VRP). Reduce manual triage toil and operational burden by optimizing feedback loops between prevention, detection, and response.
Partner with program teams to deploy agentic detection engineering workflows, shifting defenses from "Detect and Respond" to machine-speed "Infer and Interrupt." Ground detection logic in factual threat data by leveraging proven exploit paths from Red teams, Orange teams, and the Vulnerability Reward Program (VRP).
Drive product, detection, and engineering improvements by translating investigation findings into actionable changes across Microsoft security platforms and services. Providing recommendations to improve customers’ cybersecurity posture going forward and performing threat intelligence knowledge transfer to prepare customers to defend against today’s threat landscape
- Build Threat-Informed Detections: Design, implement, and maintain detection logic based on threat intelligence, attacker behaviors, fraud patterns, and abuse trends. - Develop Production-Grade Pipelines & Tooling: Write clean, maintainable code to collect, ingest, normalize, enrich, and serve data used for detections and investigations.
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