The Value of Verifiable Credentials

Co-authored by Fraser Edwards and Teresa Chan

As we explained in the previous blog (“
Breaking and forging the value chain anew with SSI”), credentials create value for receiving organisations. Since credentials are typically held or controlled by their subject / holder, value exchange between recipient and issuing organisation is no longer at the point the data is released (as a credential). Instead, we argue, the value is embodied in the credential, hence the need for verifier-pays-issuer flows in SSI./ DID. credentials to reconnect the value chain.

We briefly covered how the value of data is typically a function of:

  • What insight can be derived from said data (either standalone or in conjunction with other data)
  • How much effort has been expended to derive said data?
  • Is it accurate?
  • Is it precise?
  • Is it current?
  • Is it in a usable format?
  • Is it from a trustworthy source?
  • Is the data reusable?

Here we will delve deeper into the value of credentials and explain why credentials in permissionless ecosystems are more valuable, as well as potential impacts for credential software.

Let’s begin with the basics.

The Spectrum of Verifiable Credentials

Verifiable credentials span a spectrum from high-value documents like passports and KYC verifications to seemingly mundane ones like store receipts. Passports serve as quintessential proof of identity and citizenship, carrying immense importance for international travel and legal matters. Similarly, KYC (Know Your Customer) records are crucial for financial institutions and businesses to ensure compliance with regulations and mitigate risks.

At the other end of the spectrum, we encounter everyday credentials like store receipts. While seemingly insignificant, these receipts play a vital role in documenting transactions and facilitating returns or exchanges. Moreover, consider the frequency of receipts in daily life—each purchase generates a receipt, resulting in an incredibly high volume of these potentially low-value credentials.

Beyond receipts, other examples of high-frequency credentials include transport (train, bus, tram) tickets. Other credentials, such as utility bills, are issued less frequently than receipts  but more frequently than credentials like passports, illustrating the continuum. These credentials, varying in significance and frequency, collectively form the intricate fabric of our digital identities and transactions. 

What Contributes to the Value of Credentials

As outline above and in the previous blog (“Breaking and forging the value chain anew with SSI”), there are many factors that contribute to the value of a credential.

As a further recap from the previous blog, value is embodied into the credential. Whereas historically companies deriving value from data paid directly for that data at the point of access, that does not work when the user / subject holds or controls the data. Hence, value is embodied within the credential.

Let’s break down the list above.

1. Insights derived from verifiable credentials

The value of credentials is greatly enhanced by the insights that can be derived from them. When a credential provides rich, actionable insights, it becomes more than just a piece of information—it transforms into a powerful tool for decision-making. For instance, a university degree not only confirms educational attainment but also offers insights into the individual’s knowledge, skills, and areas of expertise, which can be critical for employers making hiring decisions. 

In the business context, the insights derived from financial credentials, such as audited financial statements, can inform investment decisions, risk assessments, and strategic planning. For example, detailed financial records can reveal a company’s financial health, operational efficiency, and growth potential. These insights enable investors, partners, and regulators to make informed decisions based on the credentialed information. Therefore, the ability of a credential to provide meaningful, context-rich insights significantly boosts its value, as it empowers stakeholders to make informed, data-driven choices.

Obviously, a key criteria is relevancy. A credential that is highly relevant to the context at hand addresses the immediate demands and challenges faced by the businesses or individuals. For instance, certifications in emerging technologies like artificial intelligence or cybersecurity are extremely valuable in today’s job market when applying for those positions, where these skills are in high demand and qualification fraud is rife. Elsewhere, a credential may not be a crucial input to a decision but may be helpful in providing context. For example, the ability for a job applicant to submit multiple attendances language schools as part of a job application could support their statement of learning languages. Whilst not crucial to their application, these credentials do provide additional supportive context.

2. Effort expended in creating verifiable credentials

The value of credentials is significantly influenced by the effort expended by businesses in creating verifiable credentials. These credentials can either be created as evidence of a transaction (e.g. receipts) or may be the purpose themselves, (e.g. passports).

For a KYC provider, for example, this involves a series of rigorous processes to ensure the authenticity and accuracy of the credential being issued. This can include verifying identity documents, conducting background checks, and employing technologies like biometric verification. The extensive measures taken by the business to gather and authenticate this information add substantial value to the credential, making it reliable and trustworthy for any third party relying on it.

In contrast, a receipt issued by a store is a by-product of an existing transaction. Still, value is created by the detailed and accurate information compiled by the business, which could be used to be reimbursed expenses by an employer or as proof of purchase with an insurer.

3. Degree of data accuracy & precision

The value of credentials is fundamentally anchored in the accuracy of the data they contain. Accurate data ensures that the credential reliably reflects the truth, making it a trustworthy source of information. For instance, in the context of academic credentials, accurate records of grades, course completions, and degrees awarded are essential for validating a candidate’s qualifications and competencies. Any discrepancies or inaccuracies can undermine the credibility of the credential, leading to potential mistrust or legal complications.

In the business world, the accuracy of financial credentials, such as income statements or tax records, is equally critical. Accurate data in these documents ensures compliance with regulations and provides a truthful representation of a company’s financial status, which is vital for stakeholders like investors, regulators, and business partners. The rigorous processes undertaken to verify and authenticate the data before issuing these credentials further enhance their reliability and value. In essence, the more precise and error-free the data, the higher the credential’s utility and trustworthiness.

Similarly, the precision of data in credentials significantly contributes to their value by providing detailed and specific information. Precise data means that the credential includes exact figures, comprehensive descriptions, and specific timestamps, which enhance the clarity and usefulness of the information. For example, in a professional certification, precision might involve the exact competencies mastered, the level of proficiency attained, and the specific conditions under which the certification was granted. This level of detail allows employers and other stakeholders to make nuanced assessments about the credential holder’s capabilities and suitability for particular roles or tasks.

In financial contexts, the precision of data within credentials like financial reports or invoices is crucial for accurate analysis and decision-making. Detailed breakdowns of expenses, revenue, and profit margins allow businesses to track performance, forecast trends, and identify areas for improvement with greater confidence. Precision ensures that every aspect of the financial situation is transparent and comprehensible, enabling stakeholders to perform thorough audits, comparisons, and strategic planning. Consequently, the more precise the data in a credential, the more valuable it becomes as a reliable source for informed decision-making.

5. Currentness 

The value of credentials is significantly influenced by their currentness, i.e. how up to date it is, appropriately reflecting new facts and updates. There are many easy examples where lack of currency massively degrades the usefulness and value of a credential: a driving licence credential which does not reflect that the licence itself has been revoked could be considered not just to be of little value but actively creating negative value depending on the context, e.g. falsely allowing someone to rent a vehicle they should be barred from.

6. The usability of a credential’s format

Currentness could also refer to whether the credential reflects the most recent technical standards, e.g. the credential format, contents and exchange protocol(s).

The credential format specifically significantly impacts its value, as it determines how easily and effectively the information can be accessed, understood, and utilised. A credential in a usable format is structured and presented in a way that facilitates efficient navigation and comprehension. For instance, digital credentials with standardised formats offer convenience and accessibility, allowing stakeholders to quickly verify and authenticate the information they contain. Likewise, credentials with clear and intuitive layouts, whether physical or digital, enhance usability by presenting information in a logical and organised manner, minimising the effort required to extract relevant details.

  • Credentials can be paired with specific schemas, detailing how they should be formatted in wallets or verifying software
  • Overlay Capture Architecture allows for credentials to appear in different colours or languages depending on the context
  • Commonality in the structure of the VC data model allows for applications to parse credentials with consistency
  • JSON-LD contexts enable references to be made to external, linked data sources, to gain more insights into the credential’s structure

Moreover, the usability of a credential’s format extends beyond its accessibility to encompass its compatibility with existing systems and processes. Credentials that can seamlessly integrate with verification platforms, databases, or credential management systems enhance efficiency and interoperability across various stakeholders. Additionally, customisable formats that allow for the inclusion of additional context or metadata further enhance usability by tailoring the credential to specific needs or requirements. Ultimately, a credential’s usability in format not only enhances its practical utility but also contributes to its overall value by streamlining workflows and facilitating seamless information exchange.

7. Perceived prestige or reputation of the credential-granting institution

The reputation and prestige of the institution or organisation issuing the credential can substantially influence its value. Credentials from reputable universities, professional associations, or industry-leading organisations often carry more weight and are highly regarded by employers, colleagues, and other stakeholders.

Let’s consider a graduate who earns a verifiable credential in finance from a prestigious business school such as Harvard University. The reputation of Harvard as an elite educational institution adds weighty value to the credential, as it is synonymous with academic excellence and rigorous standards. Employers and industry professionals view credentials from such institutions with high regard, recognizing the rigorous curriculum, esteemed faculty, and global network associated with them.

Relying on the reputation of the institution is being proposed as one of the main pillars for combating disinformation, e.g. via content credentials. In this situation, content (and credentials) from verifiably and historically trustworthy news sources will be trusted more than content from a new website with low domain authority, or alternatively a news source which has to frequently issue corrections due to mistakes, or downright falsehoods.

Similarly, credentials issued by an organisation with a real or perceived strong reputation are typically inherently more trustworthy and valuable than self-attested information given that information has been independently verified by a third party rather than just stated by an individual. cheqd experienced an example last year when we were contacted by a recruiter checking a reference for an individual falsely claiming to work for us. The individual had self-attested on LinkedIn that they worked for us, whereas all of our staff hold cheqd-issued credentials proving they either are or have worked for us.

8. Degree of Portability

The degree of portability greatly influences the value of credentials, as it determines their versatility and applicability across different contexts and scenarios. Highly valuable credentials offer a broad spectrum of utility, serving multiple purposes and meeting diverse needs. For example, a professional certification recognized internationally not only validates expertise but also opens up opportunities for career advancement and mobility across borders. Similarly, credentials that can be easily translated or adapted to various formats or languages enhance their portability, ensuring they remain valuable assets regardless of geographical or linguistic barriers. In short, credentials with a high degree of utility and portability empower individuals to navigate dynamic professional landscapes with confidence and agility, enhancing their long-term success and competitiveness.

The ability to port and re-use credentials has a colossal impact on their value, creating huge opportunities for organisations, industries and ultimately the global economy. As a result, it is worth exploring this impact in detail.

Ayra, of which cheqd is a founding member, for example, describes Ayra network credentials “that are explicitly designed to be issued and accepted across any Ayra-recognized ecosystem that needs them”, i.e. have maximal portability and hence the value is not limited to within the ecosystem.

Impact of Reuse on the Value

As previously mentioned both in the previous blog and above, credentials can be reused multiple times. Reuse can either be within the same use-case or ecosystem or without. For example, a driving licence can be reused multiple times to either prove the right to drive or rent cars. Alternatively, it can be used to prove the subject’s age so they can buy alcohol, cigarettes or gamble. Whilst the former scenario is more valuable, the latter is much more frequent for most people (up to a certain age).

Another example is the ability for job applicants being able to use the same credential to prove their academic qualifications, including university degree(s), to different employers, eliminating the need for each employer to contact the university registry office.

Payments from Multiple Verifiers to a Single Issuer

The reusability of credentials also presents an opportunity for revenue generation for issuers. When a credential is used by a holder across multiple verifiers / recipients, each verification represents a potential revenue stream for the credential issuer. 

This payment model provides a sustainable source of income for issuers and incentivises them to maintain high standards of quality and trustworthiness in their credentials. It also encourages issuers to innovate and expand their offerings, ensuring their credentials remain relevant and valuable.

Unlocking the True Potential of Verifiable Credentials

The value of verifiable credentials stems from a multitude of factors — insights, accuracy, effort in creation, currentness, usability, prestige of the issuer, and portability. Each of these elements contributes to the utility and trustworthiness of a credential, making it a vital tool in our digital economy. However, the ability to reuse and port credentials across contexts and ecosystems stands out as having the highest impact.

Portability and reusability elevate credentials from being isolated, single-use artifacts to dynamic assets that improve efficiency, reduce redundant processes, and open up new economic opportunities. When a single credential can serve multiple verifiers, spanning industries and geographies, its value multiplies exponentially. This interconnected utility doesn’t just benefit individual users. It creates compounding efficiencies for businesses and entire ecosystems, ultimately fuelling innovation and growth on a global scale.

By championing reusable and portable credentials, we unlock the true potential of verifiable credentials, forging a path toward a more streamlined, interoperable, and trust driven future. The ripple effects of this shift will be profound, enabling verifiable credentials to reshape industries and redefine how value flows in a permissionless, decentralised economy.

The AI Agents Landscape and Where Verifiable AI Fits In

cheqd as the Standard of Trust Frameworks for AI

The evolution of artificial intelligence has brought about a once-in-a-century shift in how we interact with technology, making AI agents an integral part of everyday life. From assisting in mundane tasks to powering complex systems, AI agents have unlocked unprecedented efficiency and possibilities. However, this rapid proliferation raises challenges around trust and data integrity. Organisations and individuals deserve verifiable and reliable AI systems that can be trusted to act autonomously while safeguarding the interests of users and stakeholders.

cheqd envisions itself as the backbone infrastructure of trust frameworks for AI, addressing these challenges with verifiable AI (vAI). By enabling decentralised, scalable, and interoperable trust frameworks with verifiable credentials, cheqd aspires to establish itself as the definitive standard for trust frameworks within the artificial intelligence landscape.

Categories of AI Agents

AI agents can be broadly categorised based on their functionality and domain of application. Each category caters to distinct needs and use cases, with varying degrees of complexity and specialisation. Below is an overview of the primary categories:

Where Verifiable AI and cheqd Fit In

The above categorisation showcases the diverse applications and potential of AI agents, setting the stage for how verifiable AI and cheqd can bring trust and reliability across these domains through verifiable credentials and decentralised identity.

How cheqd Tackles Major Technical Challenges in AI

cheqd’s approach focuses on addressing the critical technical challenges faced by AI systems. Below is an exploration of cheqd’s contributions across key technical areas:

  1. Decentralised Trust
    cheqd provides a decentralised infrastructure for establishing trust without relying on centralised authorities. By leveraging blockchain technology, decentralised identifiers and verifiable credentials, cheqd empowers AI agents to validate data sources and user identities in a transparent, tamper-proof manner. This decentralisation enhances security and reduces the risks associated with single points of failure or bias in data sources powering the AI agent.
  1. Scalability
    To support the growing number of AI agents and interactions, cheqd’s architecture is designed for scalability. Its decentralised ledger technology ensures high throughput and low latency, enabling seamless operation even in high-demand scenarios. This scalability is critical for AI agents deployed across industries with varying workloads.
  1. Data Privacy
    Data privacy is a cornerstone of cheqd’s solutions. By adopting privacy-preserving techniques such as zero-knowledge proofs and selective disclosure, cheqd ensures that AI agents can verify the authenticity of data without exposing sensitive information. This approach aligns with stringent data protection regulations and user expectations.
  1. Interoperability
    Interoperability is essential for AI agents to function seamlessly across diverse systems and ecosystems. cheqd’s use of open standards and protocols, aligning with emerging interoperability profiles such as the European Union Architecture and Reference Framework, enables AI agents to interact with other agents, platforms, and data sources, regardless of the underlying technology stack. This fosters a cohesive and collaborative AI ecosystem.
  1. Compliance
    cheqd simplifies compliance with global regulations by embedding verifiable credentials that meet legal and industry standards. This enables AI agents to prove that they meet certain regulatory requirements which is particularly valuable for agents operating in regulated sectors such as healthcare, finance, and education, where adherence to compliance requirements is non-negotiable.
  1. Data Integrity
    Ensuring data integrity is important for AI agents to make reliable decisions. cheqd’s verifiable credentials validate the origin and authenticity of data, mitigating risks of tampering, misinformation, and biased outputs. They also contain cryptographic proofs  to ensure that no malicious actor has compromised the credential. This strengthens trust in AI-driven processes and outcomes.
  1. Accountability
    Accountability is a key pillar of trustworthy AI systems. cheqd enables traceability by creating audit trails for AI agent interactions and decisions using its DID and trust registry infrastructure. This transparency allows stakeholders to hold AI systems accountable for their actions, fostering ethical and responsible AI development.

By resolving these technical challenges, cheqd enhances the functionality and reliability of AI agents while also paves the way for a future where trust is an inherent characteristic of AI ecosystems.

How the AI Agent Landscape Could Evolve

The future of AI agent ecosystems is poised for transformative change, with trust and verifiability at the core. Here’s a summary of how the landscape could blossom:

  1. Widespread Adoption of Decentralised AI Ecosystems
    The rise of decentralised technologies will enable a shift from centralised control to distributed ecosystems where AI agents operate autonomously. These ecosystems will empower individuals and organisations to have control over their data, fostering greater transparency, security, and user autonomy. Decentralised AI ecosystems will reduce dependency on tech monopolies, encouraging innovation and collaboration across industries.

  2. AI Agents Interacting Seamlessly Across Industries with Verifiable Credentials
    AI agents will transcend traditional silos, enabling interoperability across sectors such as healthcare, finance, education, and logistics. Verifiable credentials will act as a universal trust mechanism, ensuring that data and interactions are secure, authenticated, and compliant. This seamless collaboration will unlock new business models and use cases, where AI agents work in harmony to deliver value across interconnected domains.

  3. Regulatory Shifts Requiring Transparency and Accountability in AI Systems
    Governments and regulatory bodies are placing greater emphasis on AI accountability and ethical practices. Future regulations will likely mandate transparency in AI decision-making processes, secure handling of sensitive data, and robust mechanisms for auditing AI systems. cheqd’s solutions will be significant in helping organisations navigate these regulatory requirements by embedding verifiable trust mechanisms into their AI workflows, making compliance seamless and efficient.

Build a Trust Driven Future for AI with cheqd

Trust is as valuable as the foundation upon which entire systems are built. Without trust in artificial intelligence, whether in its data, decision-making, or accountability, the system would be unstable and unreliable. cheqd is poised to become the standard bearer for trust frameworks. Through its decentralised and interoperable infrastructure, cheqd will facilitate the seamless integration of verifiable credentials and decentralised trust across AI systems. By prioritising data privacy, regulatory compliance, and accountability, cheqd will enable organisations and individuals to place 100% of their trust in AI agents, catalysing the next era of AI innovation and widespread adoption.

Contact us to build trust into your AI solution: https://cheqd.io/solutions/use-cases/verifiable-ai/