What is blockchain forensics?

Blockchain forensics is the process of analyzing blockchain transactions to trace cryptocurrency movements, identify suspicious patterns, and gather evidence for legal proceedings. It combines data analysis, pattern recognition, and investigative techniques.

Is ForensicBlock evidence court-admissible?

ForensicBlock provides court-ready reports with cryptographic verification and chain-of-custody tracking designed for evidentiary workflows. Evidence quality and admissibility depend on proper handling, jurisdictional rules, case facts, and expert testimony in each proceeding.

Which blockchains does ForensicBlock support?

ForensicBlock supports 15+ live blockchain networks including Bitcoin, Ethereum, Solana, TRON, XRP Ledger, Polygon, Arbitrum, Optimism, Base, BNB Smart Chain, Avalanche, Cardano, Polkadot, TON, Litecoin, and more. Coverage expansion toward 30+ networks is on our active roadmap.

How does ForensicBlock compare to Chainalysis?

ForensicBlock is an AI-first alternative to Chainalysis. While Chainalysis uses rule-based tools requiring trained analysts and costs $37,000+/year, ForensicBlock uses autonomous AI agents that conduct investigations independently — starting at just $19. Our AI analyzes behavioral patterns rather than relying solely on labeled address databases, enabling detection of novel threats.

Can ForensicBlock trace stolen cryptocurrency?

Yes. ForensicBlock's AI agents trace stolen cryptocurrency across supported networks, following funds through mixers, bridges, DeFi protocols, and cross-chain swaps. Our workflows generate defensible evidence packages with chain-of-custody documentation to support asset recovery and law enforcement investigations.

Does ForensicBlock support AML compliance and sanctions screening?

Yes. ForensicBlock provides comprehensive AML compliance tools including OFAC sanctions screening, Know Your Transaction (KYT) monitoring, Suspicious Activity Report (SAR) support, and continuous address monitoring. Our risk scoring engine combines 13 ML models for accurate threat detection across all supported blockchains.