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Die neue Ära des Finanzsystems: AI, Blockchain und Tokenisierung
The new era of the financial system: AI, blockchain and tokenization
Event by: ⭐Web3 Hub Vienna · AI & Crypto
Location: Expat Center of the Vienna Business Agency, Schmerlingplatz 3, Wien - Innere Stadt
About event
The new era of the financial system: AI, blockchain and Tokenization
(As part of FINTECHWEEK 2025)
From autonomous agents to tokenized assets to regulatory and security issues, the event examines how the interaction of these technologies impacts market structures, institutional players and the future of finance.
Event information
Date: Wednesday, 19. November 2025
Location: Expat Center of the Vienna Business Agency
3 Schmerlingplatz 1010 Vienna
Entrance: 4:00 p.m. Start: 5:00 p.m.
Networking & conclusion: approx. from 8:00 p.m Clock
End: 10:00 p.m. at the latest
Number of participants: Maximum 100 people
Language: German
Host: Vienna Business Agency, Banking Association
Organization: DLT Austria
Presenters:
- 21base
- Ververica
- CRIF
- Venionaire Capital
- Black Manta Capital
- 21shares
- llb banking
- Cybertrap
- EY
Focus (DRAFT)
1. Artificial intelligence in the financial sector
Artificial intelligence is increasingly becoming a central element in finance. Autonomous agents analyze data, make decisions and act directly on the blockchain. This creates new models of automation, market analysis and governance. The following are highlighted:
- Autonomous AI agents on the blockchain
- Decentralized decision models and smart contract automation
- On-chain data analysis, predictive models and market sentiment
- Regulatory and ethical implications of self-learning systems
2. Tokenization and digital assets
In parallel with AI development, the tokenization of classic financial instruments is taking place. Stocks, bonds, funds and real-world assets are digitally mapped, tradable and programmable. The focus is on:
- Practical examples such as BlackRock BUIDL, JPMorgan Kinexys, Franklin Templeton BENJI Fund
- Tokenized government bonds, collateral networks and instant settlement
- Integration with DeFi mechanisms and smart contract-based ones Financial products
- Opportunities and risks for banks, investors and supervisory authorities
3. Security, fraud and cyber risks
As the use of AI in finance and crypto increases, so do the threats. Generative AI enables new forms of fraud, deepfakes and “fraud-as-a-service” models. At the same time, blockchain systems are becoming the target of complex attacks. The following will be discussed:
- AI-based fraud models and forgery detection
- Cybersecurity on the Web3 – protection of wallets, DeFi platforms and smart contracts
- Data integrity, identity verification and prevention through AI-based systems
4. Compliance, regulation and responsibility
The fusion of AI, blockchain and tokenization challenges existing legal frameworks. Who is liable for autonomous systems? How can regulation be combined with innovation? The following are covered:
- European requirements (MiCAR, DLT Pilot Regime, AI Act)
- Supervision of AI-supported financial systems
- New roles of banks, intermediaries and technology providers
- Governance and transparency in an increasingly automated financial world
5. Data, analysis and decision intelligence
Data will become the currency of the new financial economy. Platforms like Moonboard and Moonlytics show how AI-powered systems process market sentiment, transaction flows and risk indicators in real-time to enable better decisions. Focus:
- Sentiment analysis across various platforms such as You give your consent in accordance with Section 78 of the Copyright Act to images of yourself being taken as part of the event and acknowledge that this consent is given free of charge. Furthermore, by participating in the event, you give your consent in accordance with Section 78 of the Copyright Act that images of you can be used for follow-up reporting by the DLT Austria team and published in DLT Austria's media such as the website, LinkedIn, Instagram, newsletter and acknowledge that the publication is free of charge.