A security analytics tool that uses machine learning to surface emerging threats, anomaly patterns, and detection gaps before incidents escalate.
Added May 29, 2026
Security teams struggle to keep detection logic current as threat tactics, fraud patterns, and attack vectors change quickly. Threat hunters and detection engineers need actionable signals from telemetry and threat intelligence, but manual analysis is slow and often reactive.
The product ingests security telemetry, threat intelligence, and incident response data to detect anomalies, score emerging risks, and suggest plausible threat scenarios. It prioritizes findings for triage, recommends detection improvements, and provides incident-response-ready context for security operations teams.
Multiple companies are hiring for proactive threat hunting, AI/ML?-driven anomaly detection, predictive risk scoring, and detection automation. This suggests growing demand for tools that operationalize machine learning inside security detection and response workflows.
Showing 1-20 of 20 signals
Leverage AI and machine learning capabilities to accelerate hypothesis generation, anomaly detection, and the analysis of large, complex datasets during hunts. Translate hunt findings into production-ready detections, collaborating closely with Detection Engineering to ensure durable coverage.
Transform raw intelligence from sensors and incident response into reports, leveraging industry AI/Large Language Models (LLMs) resources to mitigate critical threats and address emerging vulnerabilities in the environment. Conduct in-depth investigations into converging digital, cyber, and physical risks while fostering collaboration across internal teams, third parties, and Mandiant stakeholders to ensure holistic security.
AI-Leveraged Analysis: Utilize AI-powered security platforms to synthesize massive telemetry sets, automate log summarization, and accelerate the identification of emerging threat patterns during active customer engagements.
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).
+17 more signals