Cyber Triage vs Dagobert

Cyber Triage is an AI-powered platform for cyber incident and endpoint investigations. It ingests DFIR collections, EDR telemetry and disk images, including targeted collection and memory-image imports. Guided analysis combines heuristics, more than 40 malware-scanning engines, YARA rules and Hayabusa event-log analysis. The workflow scores artifacts, recommends related items and provides timeline views to help scope incidents. Investigators can review automated and generative-AI results with source references and explanations, and the product indicates when generative AI is used. Integrations include CrowdStrike Falcon, Microsoft Defender for Endpoint, SentinelOne, Splunk, IBM QRadar and IRIS; integrations are available with Team Edition. A seven-day evaluation provides a fully featured installer for up to two hosts. Standard Pro costs $3,500 a year for one investigator and 20,000 malware scans per week. Team plans are self-hosted for collaborative investigations.

Dagobert is a free, MIT-licensed workspace for digital forensics and incident response investigations. Teams can keep multiple cases in separate workspaces with role-based, per-case access managed in the interface. Records cover timelines, assets, indicators, evidence, malware, tasks, notes and comments, with CSV import and export. A cross-case dashboard includes a MITRE ATT&CK heatmap, unified timeline, evidence and indicator tracking, and a lateral-movement graph. Reports are generated from supplied Word, Excel or Calc, Writer, and Impress templates in DOCX, ODS, ODT and ODP formats. Background jobs can process evidence with Hayabusa, Zircolite, Chainsaw, Plaso and Dissect. Indicator enrichment can query VirusTotal, AbuseIPDB and Hybrid Analysis, while timelines exchange with Timesketch. Hooks trigger automations on record changes. An authenticated read-only MCP endpoint exposes case data. Local accounts and OIDC are supported. The project is a Go binary backed by SQLite, with Docker self-hosting instructions.