Global policymakers need to adopt zero-knowledge (ZK) proofs to significantly reduce risks in voting integrity, identity verification, and public-sector oversight. | Credit: Veronica Cestari /CCN
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Key Takeaways
Trust-based systems still dominate digital governance, leaving voting systems, identity infrastructure, and public oversight exposed to fraud, operational errors, and insider manipulation.
Zero-knowledge proofs (ZKPs) allow institutions to verify outcomes using mathematics while protecting personal data, shifting digital systems away from trust toward cryptographic verification.
Regulation and technology trends already push governments toward this shift, with frameworks such as the EU’s Electronic Identification, Authentication and Trust Services Regulation (eIDAS 2.0) and early deployments of zero-knowledge systems in digital identity and voting tools.
Mathematical verification can help rebuild public confidence in digital government by creating systems that protect privacy while ensuring transparent and tamper-resistant results.
Electoral irregularities, identity fraud, and mismanagement of public resources remain persistent challenges in democracies worldwide, even as institutions invest in digital infrastructure.
These problems persist because most systems still rely on institutional trust rather than mathematical verification.
Zero-knowledge proofs (ZKP) offer an alternative, making verification grounded in mathematics without exposing personal data.
Encryption was once considered abstract until the internet made it essential for global commerce and communication.
Today, ZK technology represents a similar shift, providing a cryptographic foundation that can move systems away from subjective trust and toward verifiable computation.
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Estonia’s Digital Success and Its Structural Limits
Estonia’s e-voting system demonstrates steady adoption.
In the 2023 parliamentary elections, more than half of all participating voters (51%) cast their ballots online.
Yet even after two decades, the infrastructure depends fundamentally on institutional trust rather than mathematical verification.
Independent security research published in July 2024 at the ACM Asia Conference identified serious architectural vulnerabilities that persist in the current system.
Using formal verification tools, researchers discovered undetected attacks on ballot integrity, including ballot reordering when voters revote to resist coercion and insider manipulation risks during vote processing.
Estonia’s response has been to layer on new procedural safeguards. The National Electoral Commission released enhanced auditing tools in May 2024 for the 2027 elections.
That step improves transparency but also highlights a core design issue.
Each new vulnerability requires new procedures, new trusted parties, and new compliance checks, so the system’s integrity still rests on trusting that officials follow procedures and auditors catch errors.
With proper ZK implementation, vote integrity is enforced through cryptography, so successful ballot tampering would require breaking the underlying mathematics rather than bypassing procedures.
Even malicious insiders with full server access would be unable to alter results without detection.
Why Critics Say Zero-Knowledge Technology Is Too Complex
Critics argue that ZK technology is too complex or abstract for policymakers to adopt at scale. In the 1990s, public-key cryptography faced the same skepticism.
Encryption was dismissed as too technical for widespread use, and few believed ordinary citizens would trust mathematical verification over established institutions.
Concepts such as asymmetric keys and certificate authorities seemed far too complex for everyday application.
Today, billions rely on encryption without thinking about the underlying mathematics. Every online purchase, digital message, and financial transaction depends on cryptographic proofs that most users never see or understand.
Adoption became inevitable because the alternative, unprotected digital commerce, was unacceptable.
Passkeys Show How Cryptographic Systems Scale
A similar pattern has played out again in the past few years with passwordless authentication.
In 2022, Apple, Google, and Microsoft agreed to support passkeys, a cryptographic login method that replaces passwords with device-bound keys and biometrics.
By 2024, hundreds of millions of accounts were using passkeys for everyday logins, and major platforms reported faster, more secure authentication without users needing to understand the underlying cryptography.
Complexity did not prevent deployment once the risks of legacy password systems became impossible to ignore.
The same principle now applies to governance. As digital systems mediate more of public life, institutional trust on its own becomes a fragile foundation.
ZKPs provide integrity enforced mathematically rather than solely procedurally, reducing the impact of errors, policy violations, and insider threats.
“Governments face a structural dilemma. Citizens demand digital services, but existing systems require them to surrender personal data to institutions.” | Image source: Shiv Shankar
Why Governments Need Zero-Knowledge Proofs Now
Governments face a structural dilemma. Citizens demand digital services, but existing systems require them to surrender personal data to institutions.
Current digital identity and voting architectures rely on centralized databases and procedural safeguards, creating privacy risks and insider threats that fuel public skepticism.
This tension is forcing immediate action. The European Union’s Electronic Identification, Authentication and Trust Services Regulation (eIDAS 2.0), enacted in May 2024, mandates that all member states deploy digital identity wallets by December 2026 that can prove credentials without revealing underlying personal data.
It is a legal requirement with binding deadlines because governments can no longer build services that treat privacy and verification as incompatible.
Early Real-World Deployments of Zero-Knowledge Proofs
ZKPs are the technology making this possible. In May 2025, Google deployed ZKPs in Google Wallet, allowing users to prove they are over 18 without revealing names, birthdates, or addresses.
In July 2025, Trinity College Dublin launched zkBallot, a voting platform that allows participants to mathematically verify that their ballot was counted without revealing how they voted or compromising others’ privacy.
The urgency comes from multiple pressures governments already face. Data protection laws such as the General Data Protection Regulation (GDPR) and eIDAS 2.0 impose penalties for unnecessary data collection.
Repeated security breaches have reduced confidence in centralized systems. Digital services must scale without concentrating sensitive information in ways that increase the risk of abuse or misuse.
Procedural safeguards and institutional assurances are increasingly insufficient to meet legal requirements and public expectations.
ZKPs shift the architecture from trust-based to mathematically verifiable, allowing governments to deliver digital services without having to choose between privacy and accountability.
Rebuilding Institutional Trust Through Mathematical Proof
Public confidence in digital government depends on demonstrable integrity. Even advanced systems like Estonia’s depend on trust in administrators and institutions.
Regulatory breaches, data leaks, and political shifts can erase this confidence rapidly.
ZKPs reframe the problem. Instead of asking “Do we trust this institution?”, systems ask “Can we mathematically verify this outcome?”
With proper ZK implementation, outcomes cannot be falsified without breaking the underlying cryptography, making manipulation computationally infeasible.
This transformation extends beyond voting. ZK-verified identity systems will allow individuals to access government services while proving eligibility without revealing sensitive personal data.
Healthcare records, tax filings, and benefit applications would be verified without exposing information to administrative error or unauthorized access.
The result is governance that earns legitimacy through proof, creating systems capable of withstanding the challenges of tomorrow’s political landscape.
Implementation Challenges and the Path Forward
Scaling ZKP systems to public-sector use presents real engineering challenges.
Proof generation demands computational resources, and system operators and users need education on how to interact with and verify cryptographic proofs.
These challenges are operational rather than conceptual, and they should be managed through deliberate system design and infrastructure planning.
The mathematics exists. Implementation models are proven in smaller-scale deployments. The need is urgent. As digital infrastructure expands globally, so do the incentives and capabilities for manipulation.
ZKPs provide a way to restore faith in digital institutions by making verification a calculable certainty rather than a matter of institutional goodwill.
The choice is not between complex technology and simple solutions. It is between mathematical certainty and continued vulnerability to threats that undermine democratic foundations.
ZKPs should be recognized as essential infrastructure that, by design, protects institutional integrity. The future of governance depends on more than belief. It depends on proof.
Disclaimer:
The views, thoughts, and opinions expressed in the article belong solely to the author, and not necessarily to CCN, its management, employees, or affiliates. This content is for informational purposes only and should not be considered professional advice.
About the Author
Shiv Shankar
Shiv Shankar is the CEO of Boundless, a decentralized marketplace for zero-knowledge compute that enables scalable interoperability and provides verifiable infrastructure across blockchains. With over 15 years of experience building distributed systems and engineering organizations at Amazon, Lyft, Coinbase, and Avalanche, he combines deep technical expertise with a track record of scaling complex markets: from rideshare platforms to digital asset infrastructure. Shiv holds degrees in computer science and management from the National University of Singapore and KTH, and a Master's in Economics from Purdue University.
