Dagobert vs Grail

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.

Grail is a cloud incident-response pipeline from Grail Forensics, Inc. Six AI agents handle intake, endpoint evidence collection, analysis, validation, and reporting. The workflow uses Velociraptor on demand, reconstructs timelines from process, network, registry, and filesystem events, and maps suspicious behavior to MITRE ATT&CK. A validation agent checks findings against raw evidence and rejects claims not anchored to hashed artifacts. Reports contain an executive summary, technical appendix, and evidence index, with claims linked to source artifacts, lines, and SHA-256 hashes and chain of custody sealed end to end. Grail lists alert intake from Sentinel, Splunk, CrowdStrike, SentinelOne, and Elastic, with outputs to Jira, ServiceNow, carrier claims APIs, and custom webhooks. Evidence is tenant-isolated, encrypted with a customer-held KMS key, purged after delivery, and not used to train models. Pricing is capped per case and available on request.