Cointime

Download App
iOS & Android

Zero-Knowledge Proof: Applications and Use Cases

Zero-knowledge proofs (ZKPs) are an exciting breakthrough in applied cryptography that will unlock new use cases across an array of industries, from Web3 to supply chains to the Internet of Things. By verifying the authenticity of information without revealing it, ZKPs can help enhance the privacy, security, and efficiency of digital systems. In this article, we will explore the basics of ZKPs and potential use cases that are emerging.

What Is a Zero-Knowledge Proof?

Zero-knowledge proofs (ZKPs) are a cryptographic technique that allows one party (the prover) to prove to another party (the verifier) that a statement is true without revealing any additional information. In other words, using a ZKP is a way to prove that you know something without actually revealing what it is that you know.

For example, imagine that you want to prove to someone that you’re a citizen of a country, without giving them your name or passport number. With a ZKP-based identity solution, you could prove that you’re a citizen without revealing your identity.

Beyond identity, ZKPs can be used across various industries to enhance the privacy, security, and efficiency of various systems.

Conceptual example of how a zero-knowledge proof works to prove knowledge about data without revealing the data to another party.

Zero-Knowledge Proof Applications and Use Cases

Decentralized Identity

Zero-knowledge proofs can be used to verify an individual’s identity, without revealing any sensitive personal information. Instead of supplying identity details, users can simply verify that they meet a certain criteria—such as a decentralized identity that verifies that they’re a citizen of a country without having to share their name or passport number. ZKP-based identity protocols can give individuals more control over their personal data.

For example, a DeFi application may be required to check that a user is from a country within a certain group. Traditionally, users would have to provide a passport or driver’s license to verify their identity and location, often taking days to process. Instead, the application could use a third-party ZKP-based identity protocol that enables users to verify that they’re from an allowlisted country without revealing their personal details or even the specific country they’re from.

This enables users to maintain their privacy, protect against identity theft and fraud, and reduce reliance on passwords, which are vulnerable to attacks such as phishing and credential stuffing. It also relieves organizations of the responsibility of holding and securing valuable user data, which can make them the targets of cyberattacks and introduce the need to comply with stringent privacy laws.

Ultimately ZKPs enable more nuanced identity solutions that better protect user privacy while enabling applications to more easily meet the compliance requirements of governing bodies.

Privacy-Preserving Transactions

Zero-knowledge proofs enable blockchain nodes to validate transactions without needing to access transaction data. This means users can shield their transactions on a privacy-preserving blockchain network.

By posting proofs that transactions are valid but not the actual transaction details, ZKPs can obscure sender and recipient addresses, transaction amounts, and smart contract code from both the validator nodes and public blockchain ledger. Neither external third parties or even the peer a user transacts with will see the full details of a transaction.

Anonymous payments have played an important role for users in oppressive regimes where financial transactions are closely monitored, preventing fraud and identity theft by obscuring personal financial details, privately supporting charities that could otherwise bring a user public backlash, and creating a digital financial experience more similar to transacting with cash.

Secure and Scalable Layer-2 Rollups

Examples of ZKP projects using different zero-knowledge solutions.

Scaling blockchain networks to support mainstream adoption has historically been a challenge. As demand for block space on layer 1s increased, it led to network congestion and high transaction costs, which then reduced demand and slowed the growth of Web3.

Zero-knowledge rollups, a form of layer-2 scaling solution, can help overcome these challenges by moving computation and state storage off-chain. Zero-knowledge rollups can batch or “roll-up” thousands of transactions and then publish a zero-knowledge proof validating the correctness of transactions on the underlying layer-1 blockchain. These proofs require far less space than the complete transaction data, helping relieve layer-1 network congestion while creating a highly secure environment with high throughput and low transaction costs.

While other layer-2 solutions, such as optimistic rollups, can also increase scalability, zero-knowledge solutions have faster finality. An optimistic rollup may take weeks to ensure a transaction can’t be reversed or canceled, zero-knowledge rollups are finalized as soon as their validity proof is published on the underlying layer-1 blockchain. This enables users to withdraw funds or NFTs from the layer 2 without delay, improving capital efficiency.

Ultimately, zero-knowledge rollups enable developers to build hyper-scalable applications that serve millions of users at low cost while upholding the security guarantees of Web3.

Voting Systems

Zero-knowledge proofs can be used to create highly secure and verifiable voting mechanisms that enable individuals to cast votes without compromising their identity or revealing who they voted for.

In traditional voting systems, users must provide their identity in order to vote, and the administrators are trusted to keep their identity and vote confidential. With a ZKP-based voting protocol, individuals never need to reveal their identity in the first place. They can simply use a ZKP to demonstrate that they have a valid document, such as a government-issued passport.

The integrity of voting systems can also be enhanced with vote verification using ZKPs. This enables voters to independently verify that their vote was recorded in the election tally without revealing their voting preference to anyone else. ZKP verifications also enable independent auditors to verify that the process was conducted fairly and the election outcomes are accurate.

Internet of Things (IoT)

Combining IoT data and devices as a source of truth with tamper-proof value transfers enables equitable, end-to-end dispute resolution.

The Internet of Things describes an ever-increasing number of devices being connected to the Internet, empowering them to send and receive data and take autonomous actions. Alarm systems can call the police when they sense a break in, cooling systems can turn on when your phone’s GPS nears your home, and wearables can track your health in real-time. Zero-knowledge technology can play a key role in securing these devices and protecting user privacy.

Zero-knowledge-based protocols can help verify that software updates for IoT devices are from the authorized manufacturer, ensure that only authorized devices can access a network or user data, and enable secure communication between devices. By reducing the amount of data that needs to be transmitted and processed, ZKPs can also significantly reduce the energy demands of IoT devices, improving efficiency and reducing costs.

Supply Chains

Proving the origin and authenticity of goods and materials and meeting compliance standards are critical parts of supply chains within modern economies. However, there are inherent conflicts around these goals as corporations simultaneously want to protect their trade secrets and processes, including the identity of their suppliers and customers.

By enabling corporations to keep certain information private while still verifying its authenticity, zero-knowledge proofs can help provide more transparency around supply chains. For example, ZKPs can enable auditors to verify that a shipment of goods was transported and stored correctly without revealing any additional information, corporations can prove to regulators that they’re complying with environmental or labor standards without revealing any sensitive information about their operation, and end users can verify the origin of inputs without knowing the entire supply chain.

Conclusion

Zero-knowledge proofs will redefine how we think about data management, enabling users to meet compliance requirements or verify specific information without exposing their personal details or trade secrets. We’re already seeing rapid adoption within the blockchain space, with zero-knowledge solutions helping scale the ecosystem and improver user privacy. Ultimately, enhancing the privacy, security, and efficiency of digital systems will have a wide-ranging impact across blockchain networks, voting systems, supply chains, and many other industries.

Read more: https://blog.chain.link/zero-knowledge-proof-use-cases/

Comments

All Comments

Recommended for you

  • Hong Kong Stock Exchange Collaborates with S&P Dow Jones Indices to Launch Co-Branded Index

    The Hong Kong Stock Exchange has announced a collaboration with S&P Dow Jones Indices to develop and launch the S&P 500 Hong Kong Stock Exchange Technology 100 Index. This index aims to measure the performance of leading companies listed in the United States as well as the largest technology companies by market capitalization listed in Hong Kong. The index is approximately 60% allocated to the Hong Kong Stock Exchange Technology 100 Index and 40% to the S&P 500 Index, with weights adjusted quarterly.

  • LeCun et al. Propose H-JEPA Hierarchical World Model for End-to-End Learning in Visual Planning

    On October 12, according to an arXiv paper, researchers Wancong Zhang, Basile Terver, Michael Rabbat, Yann LeCun, and Randall Balestriero proposed H-JEPA, an end-to-end training scheme for a hierarchical action-conditioned JEPA world model, where each layer predicts further into the future within its learned latent space. Planning is conducted top-down: the top layer optimizes the goal, and each layer's predictions become sub-goals for the layer below. When factors in the data evolve at separate time scales, higher layers discard rapid, unpredictable details while retaining slower, task-relevant states. In four simulated navigation and manipulation environments, hierarchical planning outperformed flat JEPA; in the Visual AntMaze task, a three-layer structure increased the success rate from 18% to 73%, while requiring less computational power for planning. Ablation experiments indicate that the gains come from both temporal decomposition and high-level goal representation. Under inverse dynamics supervision, this method can be scaled to real robot videos in DROID.

  • Anthropic Bans 11.4 Million Accounts in Six Months, 42000 Appeals Overturned

    On October 12, Anthropic's transparency report updated on July 23 revealed that a total of 11.4 million accounts were banned in the first half of 2026. This is significantly higher than the 1.45 million accounts banned in the second half of 2025, marking an increase of approximately 7.9 times. The statistics cover all of Anthropic's products and services without distinguishing between Claude chat and developer products. During the same period, 398,000 appeals against account bans were received, of which 42,000 resulted in overturned decisions. Based on these figures, the number of overturned bans accounts for approximately 10.6% of the total appeals. Anthropic stated that accounts may be banned for violating usage policies, terms of service, or regional support policies.

  • 2026 Nobel Prize in Economic Sciences Announced

    On October 12, the Royal Swedish Academy of Sciences announced that Robert E. Hall and Michael Woodford have been awarded the Nobel Prize in Economic Sciences. They are recognized for developing new macroeconomic models that significantly enhance the ability to implement effective stabilization policies. Based on these models, timely fiscal and monetary policy measures can reduce the peaks and troughs of the economy. Robert E. Hall and Michael Woodford received this year's award for demonstrating how to reconstruct economic models to revitalize stabilization policies. Instead of building models based on statistical relationships among macroeconomic variables such as inflation, production, and consumption, they opted to establish a foundation based on microeconomic principles. This includes understanding how the overall behavior of households and businesses influences the economy. Robert E. Hall was born in 1943 in Palo Alto, California, and earned his Ph.D. from the Massachusetts Institute of Technology in 1967. He is a professor at Stanford University in California. Michael Woodford was born in 1955 in Chicopee, Massachusetts, and earned his Ph.D. from the Massachusetts Institute of Technology in 1983. He is a professor at Columbia University in New York.

  • Amazon Plans $7 Billion Acquisition of AI Company Decart

    According to sources, Amazon is in talks to acquire the AI startup Decart, with the deal potentially valued at around $7 billion. Decart, headquartered in San Francisco, USA, has software that allows developers to switch more easily between different AI chips. As companies compete for greater computing power, this capability is becoming increasingly important. Sources indicate that if negotiations do not break down and no other bidders emerge, the deal could be finalized soon. According to private market data firm PitchBook, Decart has raised over $400 million in venture capital from investors such as Sequoia Capital, Benchmark, and Radical Ventures. In May of this year, the company's valuation was close to $4 billion.

  • Contractor for Supermicro Pleads Guilty to Illegal Transfer of Nvidia Chips to China

    Court documents reveal that a contractor associated with Supermicro has pleaded guilty to participating in a scheme to illegally transfer servers equipped with Nvidia's advanced AI chips to China. The court case records, released on October 9, indicate that external contractor Sun Tingwei (phonetic) pleaded guilty on Thursday in the U.S. District Court in Manhattan. The U.S. Department of Justice charged Supermicro co-founder Liang Yixian, Taiwan area business manager Zhang Ruicang, and Sun Tingwei in March, accusing the three of conspiring to violate U.S. export control regulations by illegally transferring approximately $2.5 billion worth of equipment utilizing U.S. AI technology to mainland China. The indictment states that the scheme began around 2024, with the three allegedly using a Southeast Asian company as a transit entity to conceal the fact that the ultimate customer was located in China.

  • Yixin Issues Apology: May Be Insolvent

    On October 12, Yixin Group published an "Apology Letter to Clients of Fixed-Income-Like Products" on its subsidiaries Ruicheng and Yirenyouxuan App. Yixin Group stated that due to the contraction of its inclusive finance and wealth management business scale and poor earnings, it has decided to completely stop the redemption of fixed-income-like products by May 22, 2026, and will strive to fairly compensate all investors through orderly exit. However, due to significant losses in multiple business areas, coupled with low asset values in market-based disposals and a lack of effective funding sources, the fixed-income-like products have effectively defaulted, for which the company sincerely apologizes to its clients. The letter indicated that after halting the redemption of fixed-income-like products, Yixin Group systematically reviewed the status of various businesses and promptly commissioned third-party institutions to conduct asset verification and financial due diligence. Preliminary findings suggest that Yixin Group may be insolvent, with a significant debt gap. The underlying assets corresponding to the unpaid fixed-income-like products are of poor quality, and efforts to seek market-based overall disposal have been unsuccessful. Legal due diligence institutions stated that they could not independently investigate the compliance of fixed-income-like products based on the transaction channels and models provided by the group. Yixin Group stated that it will further clarify its asset and liability situation, continue to stabilize its lending and other licensed businesses, make every effort to accelerate the recovery of non-performing loans, expedite the disposal and monetization of valuable assets, and communicate sincerely with clients of fixed-income-like products to resolve risks in accordance with laws and regulations, aiming for fair compensation for investors.

  • IMF Warns: AI May Have Disruptive Effects on Employment and Tax Systems

    On October 12, IMF President Kristalina Georgieva warned that AI is having disruptive effects on the labor market and tax systems, and policymakers need to rethink the education system and take immediate action to help society adapt to these changes. Georgieva stated during her debut at the IMF and World Bank Annual Meetings in Bangkok on Monday, "This is a slowly moving tsunami, but it is still a tsunami." In a session discussing the impact of AI on employment, she noted that AI has weakened demand for certain human workers by replacing a large number of repetitive, procedural jobs; at the same time, it is driving an increase in low-wage positions in industries such as construction, which she believes is "not something to celebrate." Georgieva indicated that this transformation will have profound implications for public finances, with the risk that AI may shift the economy from labor to capital, thereby undermining government tax revenues, as labor income has traditionally been a significant basis for taxation.

  • SWI Group Raises $895 Million to Transform Bitcoin Mining Facilities into AI Infrastructure

    On October 12, The Block reported that SWI Group has raised €800 million (approximately $895 million) from institutional investors following its acquisition of Genesis Digital Assets, a Bitcoin miner owned by FTX. The funds will be used to expand its AI data centers and high-performance computing infrastructure in the United States and Europe. As part of its strategic transformation, the company is repurposing suitable Bitcoin mining facilities for AI computing, gradually exiting the cryptocurrency mining business.

  • CSRC: Exploring Systems and Practices More Suitable for Innovative SMEs

    Wang Li, Deputy Director of the General Office of the China Securities Regulatory Commission (CSRC), stated at a press conference for the 2026 Financial Street Forum Annual Meeting on October 12 that over the past five years, the CSRC has solidly promoted high-quality market development. The Beijing Stock Exchange has operated safely and stably, effectively fulfilling its functions, and positive results have been achieved in market construction.