Key Takeaways
- Zero‑knowledge proofs (ZKPs) let a company prove the presence or absence of a specific vulnerability without revealing its underlying scan data, network maps, or software inventories.
- This approach addresses the core tension in cyber‑information sharing: governments need timely, trustworthy data, while firms fear exposing proprietary or attack‑surface information.
- A recent proof‑of‑concept test by FDD’s Center on Cyber and Technology Innovation demonstrated that ZKPs can answer yes/no vulnerability questions across multiple environments while keeping raw scans confidential.
- Before ZKPs can be used for compliance, vulnerability reporting, or procurement, structured pilot programs are needed to define trustworthy proofs, agree on evaluation rules, and build confidence among regulators and industry.
- Agencies such as CISA, NIST, and sector‑specific regulators are natural leaders for these pilots, given their existing relationships with critical‑infrastructure operators and expertise in standards development.
Introduction to the Problem
Governments and industry have long struggled to share cybersecurity data effectively. While legal protections and information‑sharing platforms exist for incident reports and defensive advice, they have done little to encourage pre‑emptive sharing of vulnerability scans or security‑control data. Companies hesitate because such data can reveal detailed network topologies, software inventories, and configuration weaknesses—information that, if leaked, would serve attackers as a roadmap. Moreover, once data leaves a firm’s control it may be stolen, subpoenaed, repurposed, or used in unexpected regulatory proceedings, creating additional risk rather than reducing it.
What Zero‑Knowledge Proofs Are
Zero‑knowledge proofs are a cryptographic technique that allows one party (the prover) to convince another party (the verifier) that a statement is true without conveying any information beyond the validity of the statement itself. In the context of cybersecurity, the statement might be “a specific vulnerability exists somewhere within this defined set of systems.” The prover performs a local mathematical computation on its own scan data, generates a proof that the computation satisfies the agreed‑upon conditions, and sends only that proof to the verifier. The verifier can check the proof’s correctness without ever seeing the raw scan, device list, software inventory, or network diagram.
How the Process Works in Practice
First, the government and the company agree on a precise, yes/no question—for example, “Does vulnerability CVE‑2023‑XXXX affect any asset in the scanned environment?” The company keeps its vulnerability scan inside its own network. A cryptographic tool processes the scan locally, checks whether the scan data meets the agreed criteria for a “yes” answer, and produces a mathematical proof tied to that outcome. If the scan truly contains the vulnerable software version, a valid proof can be generated; if not, no valid proof supporting a false “yes” can be created under the same rules. The government receives only the proof and the answer, verifies the proof’s correctness, and learns nothing about the underlying assets or configurations.
Proof‑of‑Concept Test Results
The Foundation for Defense of Democracies’ Center on Cyber and Technology Innovation recently conducted a test using anonymized vulnerability data from three operational environments. The test posed yes/no questions about 38 known vulnerabilities while retaining the raw scans within each participating environment. Only the generated proofs and the corresponding answers were shared externally. The experiment showed that the proofs were sufficient to reveal how widespread each vulnerability was across the environments without exposing any proprietary scan details. This demonstrated that ZKPs can deliver accurate, actionable intelligence while preserving confidentiality.
Why Immediate Large‑Scale Deployment Is Premature
Although the test validated the technical feasibility, deploying ZKPs nationwide for compliance, vulnerability reporting, or procurement decisions would be premature. Several challenges remain: defining what constitutes a trustworthy proof, establishing standardized evaluation rules, ensuring the cryptographic implementations are robust and resistant to side‑channel attacks, and building organizational processes for proof generation and verification. Moreover, legal and policy frameworks must adapt to accept proofs as valid evidence in regulatory or contractual contexts. Rushing into a mandate without addressing these issues could erode trust and create new compliance burdens.
Recommended Path Forward: Structured Pilots
The prudent next step is to launch narrow, practical pilot programs rather than sweeping mandates. Federal cyber officials, standards bodies, and industry groups should collaborate on pilots that answer concrete questions such as “Is a known vulnerability present in this system set?” or “Is a specific security control (e.g., multi‑factor authentication) deployed across the network?” By limiting scope, participants can focus on refining proof protocols, assessing usability, and measuring operational overhead. Pilots also provide a safe environment to identify edge cases, such as handling incomplete scans or dealing with legacy systems that cannot produce the required data formats.
Roles for Key Agencies
- Cybersecurity and Infrastructure Security Agency (CISA) – With its existing outreach to critical‑infrastructure operators, CISA can recruit participants, facilitate data‑sharing agreements, and help translate pilot results into actionable guidance.
- National Institute of Standards and Technology (NIST) – NIST’s expertise in cryptographic standards makes it ideal for defining what a trustworthy zero‑knowledge proof looks like, specifying required algorithms, key lengths, and verification procedures.
- Sector‑Specific Regulators – Agencies overseeing energy, finance, telecommunications, etc., can develop mechanisms that allow firms to submit proofs as proof of compliance, thereby reducing the need to hand over raw vulnerability data while still meeting regulatory obligations.
Limitations and Complementary Measures
Zero‑knowledge proofs are not a panacea for all cyber‑information‑sharing challenges. They excel at answering binary, pre‑agreed questions about the presence or absence of specific conditions but are less suited for sharing nuanced threat intelligence, incident details, or contextual advice that requires richer data exchange. Therefore, ZKPs should be viewed as a complementary tool alongside existing sharing platforms, legal safeguards, and best‑practice guidelines. Continued investment in secure multi‑party computation, homomorphic encryption, and privacy‑preserving analytics will further expand the toolkit available to defenders and regulators.
Conclusion
The core dilemma—governments need timely, trustworthy visibility into vulnerabilities, while companies fear exposing the very data that could aid attackers—finds a promising cryptographic answer in zero‑knowledge proofs. By enabling firms to prove a statement about their internal scan data without revealing the data itself, ZKPs can preserve confidentiality while satisfying accountability requirements. Realizing this potential will require careful, incremental pilot work, clear standards, and cooperation among CISA, NIST, and sector regulators. If pursued thoughtfully, ZKPs could become a cornerstone of a more secure and privacy‑respecting cyber‑information‑sharing ecosystem, helping the nation respond faster to threats without sacrificing the proprietary defenses that keep critical infrastructure resilient.