Belkasoft X Forensic vs Grail

Belkasoft X Forensic acquires, analyzes, and reports digital evidence from computers, mobile devices, RAM, cars, drones, and cloud sources. Its acquisition options include DD/E01 imaging, iOS checkm8 and agent-based acquisition, and several Android methods. Analysis features include timeline and connection graph views, SQLite recovery, hash-set analysis, file carving, and picture and video analysis. The software can examine UFED and GrayKey images, virtual machines, Amazon S3-based images, Berla car exports, and data from services including Google Drive, iCloud, Microsoft 365, WhatsApp, and Telegram. Reports can be produced in formats such as HTML, XML, CSV, PDF, Excel, Word, ProjectVIC JSON, and Relativity Short Message Format. Colleagues can view shared findings with the free Evidence Reader, whether or not X Forensic is installed. The product is self-hosted and offered to government customers only. Its license is perpetual, with optional annual software maintenance and support; pricing is provided by quote. A 30-day trial requires internet access. Trial reports contain half of randomly selected artifacts, and several acquisition, decryption, virtual-machine, and command-line automation features are excluded. The company describes it as suited to digital forensic laboratories at federal and state-level law-enforcement agencies.

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.