A SaaS? tool that turns threat intelligence and security telemetry into prioritized detection-rule improvements for security teams.
Added Jun 8, 2026
Last signal 2d 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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Presenting technical findings and recommendations to improve customers’ cybersecurity posture and performing threat intelligence knowledge transfer to prepare customers to defend against today’s threat landscape for and assisting in the development of production threat hunting tools, automations, and new capabilities.
Recommendation Engine: Partner with engineering to turn a diagnosis into action. Surface a suggested code fix. Confirm whether the customer’s logging can even detect the issue. Deliver a ready-to-use detection rule (e.g., Splunk) and a threat hunting query to check for past abuse. Cross-Functional Intelligence: Work closely with our Agentic Products PM team. Feed new attack vectors and data sources back into agent training. Help our agents learn to “look for the new thing.”
• Building proof-of-concept and prototype threat hunting tools, automations, and new capabilities • Driving product and tooling improvements by conveying learnings from threat hunting and incident response at scale to engineering partner teams
• Driving product and tooling improvements by conveying learnings from threat hunting and incident response at scale to engineering partner teams • Identifying, prioritizing, and targeting complex security issues that cause negative impact to customers. Creating and driving adoption of relevant mitigations and providing proactive guidance
Drive automation of triage and enrichment in Python (or similar) so alert volume scales without proportional headcount. Partner directly with leadership on security strategy, translating threat landscape and detection gaps into a prioritized roadmap with clear tradeoffs.
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