ThreatScout is a federated security operations platform that connects to existing SIEMs, EDRs, and data lakes, enabling analysts to query multiple security tools simultaneously without duplicating logs or ingesting data to a central location. The platform translates queries written in a single language (KQL) into each connected platform's native syntax, allowing analysts to hunt across Microsoft Sentinel, Splunk, CrowdStrike, SentinelOne, and other tools from one interface. Core capabilities include: - Federated Threat Hunting: Query across 20+ connected backends simultaneously. ThreatScout auto-detects the target backend by table name and normalizes data using OCSF. - Detection Engineering: Convert hunt queries into scheduled detection rules that run against any connected backend. Tracks true positive rates, false positive rates, and detection efficacy over time. - Case Management: Manage alerts, incidents, and hunt workspaces with automated forensic timelines, entity tracking, artifact storage, MITRE ATT&CK mapping, team collaboration, and audit trails. - Automated Enrichment: 11+ built-in threat intelligence enrichment integrations (VirusTotal, AbuseIPDB, GreyNoise, Shodan, OTX, etc.) with confidence scoring, attribution, and campaign linking applied automatically to IOCs. - Scout AI: An AI assistant that generates queries from natural language, performs alert triage with 9-section threat analysis reports, maps MITRE ATT&CK techniques, auto-escalates alerts with case notes, correlates 14 entity types for campaign detection, and assists with investigation steps. PII/PCI sanitization is applied before data leaves the environment. The platform targets enterprises, MSSPs, and MDR/incident response teams. It is described as pre-launch and currently accepting waitlist registrations. SOC 2 compliance and full audit trails are noted.