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a16z invests in AI agent security company Runta

Venture capital firm Andreessen Horowitz (a16z) announced an investment in AI Agent security startup Runta, which aims to help businesses manage and constrain AI agents like "raising children." The specific investment amount has not been disclosed.Runta founder Guanlan Dai previously worked on the technical team at Cloudflare and was a founding engineer at API connection startup Kong. He stated that AI agents share similarities with growing children: they have the ability to perform tasks autonomously but also require boundaries, supervision, and permission management. Dai believes that just as parents provide home safety protection for children and limit their access to credit cards, businesses also need to restrict the important documents that AI agents can access, the range of operations they are allowed to perform, and the amount of disposable funds available at one time.Runta is developing a set of "AI Agent guardianship" infrastructure to help businesses manage AI agents' permissions, security risks, and behavioral boundaries, preventing autonomous AI systems from causing data leaks, erroneous operations, or financial losses during task execution. As businesses increasingly deploy AI agents with autonomous decision-making capabilities, establishing a trustworthy and secure agent management system is becoming a new infrastructure requirement. Runta aims to become the "parental control layer" of the AI Agent era, providing capabilities such as agent identity management, permission control, risk limitation, and operational supervision for businesses. Industry insiders believe that as AI agents evolve from simple assistants to autonomous entities capable of operating business systems, handling transactions, and executing complex tasks, the infrastructure market surrounding agent security, governance, and compliance may experience rapid growth.

a16z: TradFi is not embracing the DeFi model, but rather accelerating the adoption of blockchain technology

a16z published a blog post stating that as traditional financial institutions accelerate their exploration of blockchain technology, the market generally believes that the future will see a comprehensive integration of DeFi (Decentralized Finance) and TradFi (Traditional Finance), forming a new financial model through the combination of decentralized finance and institutional distribution systems.However, the reality may not be so. The core motivation for traditional financial institutions to adopt blockchain is not to embrace decentralization, but to value its commercial benefits in reducing costs, improving settlement efficiency, expanding distribution channels, and optimizing customer relationship management.What is more likely to emerge in the future is a new type of "programmable financial infrastructure" based on underlying blockchain technology, optimized for institutional needs, rather than a simple integration of traditional finance and DeFi. Institutions are selectively absorbing certain technological capabilities from DeFi and modifying them according to their own regulatory, risk management, and operational requirements.For example, atomic settlement can reduce counterparty risk, shared ledgers can lower back-office reconciliation costs, programmable funds can automatically execute processes such as interest payments, margin management, and corporate actions, and automated market-making models are also being applied to on-chain foreign exchange and tokenized asset pricing.At the same time, the native DeFi features of open access, anonymity, and trustless execution often conflict with institutional requirements for compliance, control, and accountability. Therefore, cases such as JPMorgan's institutional blockchain project, BlackRock's and Franklin Templeton's tokenized funds, are essentially not traditional finance entering DeFi, but rather using blockchain technology to improve existing financial business processes.In the future, the blockchain industry will have two development paths: on one hand, enterprises and financial institutions will continue to promote the implementation of blockchain infrastructure that meets regulatory requirements, expanding the industry scale through applications such as stablecoins, tokenized assets, and on-chain settlements; on the other hand, open networks will continue to play the role of a source of innovation, continuously generating new financial primitives and market mechanisms, providing technical reserves for future institutional infrastructure.TradFi and DeFi are not in competition but are developing together in different directions. Traditional finance may not fully adopt the DeFi model but will gradually adopt parts that suit its own needs. The true integration may ultimately occur at the underlying blockchain network level, rather than one side replacing the other.For developers, the key is not to chase all markets simultaneously but to clarify the target audience: for institutions, products need to be built around compliance, risk control, and long-term business processes; for open networks, there is a need to continue exploring innovation, liquidity, and network effects. The future financial system may operate on blockchain infrastructure, but the most important innovations may still come first from open networks.

The computing power market infrastructure company Ornn has completed a $33 million seed round financing, led by a16z Crypto

According to official news, the computing power market infrastructure company Ornn announced the completion of a $33 million seed round financing, led by a16z Crypto, with participation from Galaxy Ventures, Nordstar, and SV Angel, while Vine Ventures, Crucible Capital, Link Ventures, and Box Group continue to support.Ornn stated that a mature commodity market first requires reliable pricing data, which leads to price discovery, and price discovery then supports risk transfer, which in turn enables more efficient capacity allocation. The OCPI it launched is a transaction-based computing power index aimed at providing a unified and trustworthy price benchmark for settlement in the computing power market. Partners like ICE can promote risk transfer by directly referencing OCPI's futures and options contracts.Additionally, Ornn announced the launch of Ornn Compute, a physical capacity layer for the computing power market that can aggregate dedicated GPU capacity from multiple neoclouds onto a single platform, providing a unified access process, a secondary transfer market, and on-demand subleasing capabilities. Operators can obtain diversified demand from multiple tenants through a single underwriting contract, while buyers can view the sites, hardware configurations, and terms of the reserved clusters. This platform will make dedicated GPU capacity a liquid asset and allow previously idle capacity to be utilized.
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