Securing the AI Bazaar: How FinChip and CertiK Are Building Trust in Code Assets

HONG KONG and NEW YORK – June 12, 2026 – In the rapidly expanding universe of artificial intelligence, a new form of digital commodity is emerging: the AI 'Skill.' These reusable blocks of code, specialized tools, and automated workflows are the building blocks of the burgeoning AI Agent economy. But as with any valuable asset, the question of trust and security looms large. A strategic partnership announced today between AI infrastructure platform FinChip.AI and Web3 security leader CertiK aims to provide the answer, creating what could be the foundational trust layer for a secure marketplace of AI capabilities.

The collaboration will see CertiK, a firm renowned for securing over $600 billion in digital assets, integrate its AI security scanning technology directly into FinChip's platform. The goal is to establish a rigorous security audit standard for these emerging 'code assets,' transforming abstract AI capabilities into verifiable, trustworthy, and tradable commodities.

The New Marketplace for AI 'Skills'

For years, AI capabilities have been fragmented—scattered across private GitHub repositories, embedded within proprietary software, or existing as complex API calls. FinChip.AI was founded to solve this problem by creating an infrastructure to encapsulate, encrypt, and distribute these skills as on-chain assets, or 'Skill Tokens.'

Imagine a specialized AI trading assistant, a sophisticated data analysis workflow, or a proprietary research method. FinChip’s platform allows the creators of these tools to package them as unique, ownable assets on a blockchain. This 'assetification' enables what was previously impossible: clear ownership, enforceable licensing, and a liquid market where both humans and autonomous AI Agents can discover, purchase, and deploy these skills. The platform leverages smart contracts to manage access rights, usage, and financial settlement, creating a true ownership and transaction layer for AI value.

However, for this digital bazaar to function, buyers need confidence. How can a developer or an enterprise be sure that a purchased AI Skill doesn't contain malicious code, hidden vulnerabilities, or backdoors that could compromise their systems? This is the critical challenge the partnership seeks to address. "When AI Skills can be packaged, owned, and freely traded, the prerequisite for 'assetification' is 'verifiable security,'" a FinChip representative noted. Without a robust verification process, the entire ecosystem would be built on a foundation of sand.

Bridging Web3 Security to the AI Frontier

This is where CertiK enters the picture. Founded by computer science professors from Yale and Columbia University, CertiK has established itself as the dominant force in Web3 security, primarily through its rigorous audits of smart contracts. The firm is now strategically pivoting its deep expertise toward the unique challenges of AI security.

This is more than a simple expansion; it's a necessary evolution. AI systems, particularly autonomous agents, present a vastly more complex and dynamic attack surface than traditional software. CertiK's research has identified a host of new vulnerabilities, including malicious prompt injections that can hijack an agent's behavior, fake software dependencies that introduce malware, and unisolated agents that can leak sensitive local files and credentials. The adaptive, learning nature of AI means a one-time security audit is insufficient.

In response, CertiK has been developing AI-native security tools. Its 'AI Auditor,' for instance, uses specialized AI models and real-time threat intelligence to continuously scan for vulnerabilities. The company is championing a 'Zero Trust' architecture for AI, where every component and interaction is continuously verified. The collaboration with FinChip will embed this capability directly into the skill publication workflow. Every new AI Skill submitted to the FinChip marketplace will undergo a security scan by CertiK. The results, including risk scores and labels, will be transparently displayed, culminating in a joint security certification badge for skills that pass the rigorous assessment.

"AI Skill security is much like smart contract security—standards need to be established early in the circulation phase," said Professor Ronghui Gu, CEO and Co-Founder of CertiK. "We're pleased to bring our security scanning capabilities into FinChip's ecosystem and explore new security practices in the AI era together."

Building Trust in the Agent Economy

The timing of this partnership is no accident. It arrives as the 'AI Agent Economy' transitions from a theoretical concept to a commercial reality. Market projections show the AI agent market exploding from around $10.9 billion in 2026 to over $180 billion by 2033. These agents, designed to automate complex tasks for businesses and individuals, will rely on a rich ecosystem of third-party skills to function effectively.

The primary barrier to enterprise adoption has been the inherent risk. Handing an autonomous agent the keys to corporate data, financial accounts, or critical infrastructure is a non-starter without ironclad security guarantees. By creating a standardized, transparent, and verifiable security process, FinChip and CertiK are directly addressing this fundamental obstacle.

"In the AI Agent era, 'capability' becomes reusable and tradeable, which means security must be foundational design, not an afterthought," said Gary Yang, Incubation Investor of FinChip.AI. "We're thrilled to partner with CertiK, an industry leader, to embed world-class security audit capabilities into every step of Skill publication—this is our most basic commitment to users and developers."

This commitment to security as a design principle could catalyze a virtuous cycle: developers are more willing to build and share valuable skills, and enterprises are more confident in adopting them, driving growth and innovation across the entire ecosystem.

Navigating a New Regulatory and Competitive Landscape

The initiative doesn't exist in a vacuum. A flurry of activity is underway to create standards for the AI world, with groups like the Open Agentic Schema Framework (OASF) and protocols like Agent2Agent (A2A) working to ensure AI agents can communicate and interoperate. The FinChip-CertiK partnership complements these efforts by focusing on the security and integrity of the assets being exchanged within these interoperable networks.

Furthermore, the move preemptively addresses looming regulatory and ethical questions. Issues of intellectual property, liability for an AI's actions, and data privacy are top of mind for regulators globally, as evidenced by measures like the EU AI Act. By establishing a framework for auditing and certifying AI 'code assets,' the partnership provides a tangible mechanism for accountability and transparency.

By wedding the verifiability of blockchain with advanced AI security auditing, FinChip and CertiK are not just launching a new feature; they are laying down a foundational pillar for a future where AI capabilities can be developed, shared, and monetized with confidence.