Blockchain in Intellectual Property: Ownership, Provenance, and Licensing in 2026
Learn how blockchain in intellectual property improves ownership proof, provenance, anti-counterfeiting, and smart licensing, plus what to expect in 2026.
Browse the latest blockchain articles, tutorials, and research from Blockchain Council.(1536 articles)
Learn how blockchain in intellectual property improves ownership proof, provenance, anti-counterfeiting, and smart licensing, plus what to expect in 2026.
Learn how a blockchain private key QR code workflow supports air-gapped signing, reduces phishing risk, and improves self-custody security in 2026.
Learn how security teams can map NIST AI RMF and ISO 27001 into practical AI controls for inventory, data governance, SecDevOps, vendors, and auditability.
Interoperability for AI agents uses blockchain standards like ERC-4337 and ERC-8004 to enable cross-platform payments, permissions, and secure agent coordination.
Explore case studies of blockchain in AI across healthcare, finance, and supply chains, including secure EHRs, automated claims, traceability, and forecasting.
Learn how model IP protection with blockchain enables licensing automation, royalty tracking, usage metering, and ownership proof using timestamps and smart contracts.
Explore AI-driven blockchain analytics for real-time anomaly detection, fraud prevention, and smart contract exploit monitoring with privacy-preserving governance.
Learn how preventing deepfake fraud with blockchain enables content provenance, cryptographic signing, and verification workflows to reduce impersonation and media tampering.
Learn how building an AI-driven SOC modernizes SOAR with autonomous triage, alert prioritization, and governed incident response to reduce fatigue and improve MTTR.
Compute coordination for AI uses blockchain-based DePIN to orchestrate decentralized GPU networks, verify outputs, and reduce inference costs amid global GPU shortages.
Proof-of-Contribution in AI uses blockchain, ZK proofs, and tokenized assets to verify datasets and compute, then reward contributors based on measurable usage.
Learn how model theft and extraction attacks target AI APIs, key 2025-2026 trends, and practical controls to protect AI IP, data, and API integrity.