🎤 Enterprise Adoption

As AI agents gain the ability to act and transact on our behalf, the question of trust becomes critical. Drev Ziga explains that three key elements are essential for agentic systems to scale: - **Verifiability**: Ensuring actions can be confirmed and validated - **Provenance**: Tracking the origin and history of agent decisions - **Privacy**: Protecting user data while maintaining transparency Without these safeguards built in by design, autonomous AI systems operating 24/7 could pose significant risks. The conversation highlights that as agents increasingly navigate the internet and make decisions for us, transparency becomes non-negotiable.

**Europe's construction and cultural heritage sectors struggle with fragmented, unverifiable building data.** The EU-funded BUILDCHAIN project addresses this challenge through a Digital Building Logbook powered by OriginTrail. **Key features:** - Transforms scattered building information into verifiable, interoperable data - Covers the complete building lifecycle - Integrates real-time monitoring and AI agents - Built on verifiable data foundations to protect historical assets The initiative aims to create a standardized system for managing building information across Europe's construction industry and cultural heritage sites.

**The Challenge of AI-Generated Content** As AI-generated content proliferates, the inability to verify information puts vulnerable populations at increased risk. TriniZone from TracVerse highlights the critical importance of verifiability in the age of AI. **Key Questions for Information Verification:** - Where does the content originate? - How was it created? - Is it tamper-proof? **The Solution: Cryptographic Truth** A verifiable web powered by cryptographic proof offers answers to these questions. This infrastructure enables users to authenticate content sources and creation methods, protecting against manipulation and misinformation. The technology aims to establish trust in digital information through transparent, verifiable systems that can confirm content authenticity and provenance.

**GS1 is being encouraged to adopt blockchain technology for product identifiers**, according to Phil Archer from the global standards organization. - OriginTrail is actively supporting GS1's exploration of blockchain integration - The goal is to provide **more secure backgrounds** for product identifiers - This could enhance the security and traceability of products that scan at checkout The collaboration suggests a potential shift toward blockchain-based verification systems for global product standards, which could impact supply chain transparency and consumer trust.

OriginTrail has deployed AI agents compatible with the ERC-8004 standard, utilizing its Decentralized Knowledge Graph (DKG) as a verifiable context layer. **Key Features:** - Agents can anchor and verify their knowledge sources - Tracks data provenance and usage patterns - Records how agent knowledge evolves over time - Provides transparent reasoning and full traceability The DKG framework addresses enterprise AI trust by securing verifiable data and enabling auditable decision-making. Previous implementations include securing training certificates, tracking US imports, rail transportation safety, and supply chain traceability across industries from whisky production to aerospace manufacturing.