A security exchange: incentives, verification, disclosure, and installed-base protection

This is the closer, more technical description promised in the main post. It is a working concept, not a finished system: none of the mechanisms below is implemented or empirically validated, and each is stated as something to test.

I'm developing a security exchange designed to make verified disclosure more attractive than exploitation, while giving vendors stronger incentives to protect users. The premise is that AI can accelerate both exploitation and remediation; the opportunity is to align the money, the evidence, and the decision rights around that faster cycle. The ambition is broad, but the first implementation would cover a bounded set of verifiable failures in participating systems.

Who participates — and why

• Researchers and financially motivated exploit holders want the highest credible return for a discovery. The exchange offers funded rewards, predictable verification, and prompt payment under rules agreed before submission. Clean disclosure must beat resale, attack-then-report, and abuse after payment — not just standalone exploitation — and the system has to demonstrate that condition, not assume it.
• Vendors and system operators want customer trust and lower incident costs, but can benefit from keeping weaknesses out of view. They authorize bounded testing and fund rewards through subscriptions, committed award balances, and agreed allocations of disclosure costs. Verified remediation reduces future risk charges; unresolved exposure stays visible to buyers.
• Users, enterprise buyers, and ecosystem sponsors bear consequences vendors may not fully absorb. Sponsors fund shared infrastructure; buyers receive a portable record of verified failures, remediation, and testing coverage that can inform procurement. Award size, remediation cost, and estimated user loss stay distinct measures.
• Independent verifiers, the exchange operator, and payment custodians supply evidence, coordination, and settlement. A diverse infrastructure pool earns fees for audited experiment quality and useful coverage — not for affirmative verdicts. Execution, appraisal, and custody stay separate, so a paying vendor cannot unilaterally overturn a qualifying result.
• Maintainers, repair providers, and fleet operators quote funded protection commitments and earn readiness fees plus capped payments for rapid, verified, durable rollout — mitigation, replacement, or retirement. Capital providers can finance those contracts for a stated return.
• Insurers and other risk funders, potentially later, contribute where demonstrable reductions in covered losses justify the cost, earning fees or premiums against explicitly bounded obligations.

How the incentives connect

Before testing, participants commit to scope, evidence requirements, reward rules, funding limits, and disclosure terms. An authorized agent attempts to reproduce the claimed failure on a designated deployed system; independent verification establishes whether it qualifies. A timestamped submission protects priority within the exchange, and a qualifying finding creates a payment entitlement against reserved funds.

Payment need not wait for public disclosure: severe flaws can receive a bounded, independently governed remediation window, with timely protective guidance and staged technical publication. Remediation updates the record without erasing earned payment. Technical validity and conduct eligibility are separate — any conditional award portion, attribution standard, release deadline, and independent appeal are agreed in advance. A vendor allegation cannot unilaterally erase an earned entitlement.

An exploit is copyable, so buying disclosure cannot prove exclusivity or prevent a seller from collecting both abuse proceeds and a bounty. If those strategies cannot be distinguished and deterred with collectible consequences, a higher bounty alone cannot solve the problem. The model makes that failure mode explicit; protective intake for already-compromised systems stays separate from discovery-bounty eligibility.

The leading hypothesis is that a ready market for protection shrinks the remaining attack/resale opportunity, while credible competition for a capped discovery award makes delay costly. These effects must be measured; fast patch availability alone establishes neither.

What changes relative to centralized bounty platforms

HackerOne's published terms place program scope and reward amounts with customers, contemplate advance reward funding unless otherwise agreed, and recognize customer validation as a potential source of payment delay; they also provide managed programs and some protections for outstanding rewards. Prefunding is therefore not the innovation here. (HackerOne customer terms, §§5–6.)

The comparison hypothesis is that concentrating decisions around the paying vendor and platform can leave opportunities to benefit from delay, selective disclosure, disputed classification, or influence over a gatekeeper. These are incentive risks to validate — not allegations about any platform's conduct. The proposed changes reduce those potential rewards:

• Delay or reclassification: timestamped evidence and precommitted rules constrain retroactive changes to payment eligibility.
• Suppression or selective visibility: portable, auditable records and agreed publication rules limit unilateral control over what buyers learn.
• Compromising one gatekeeper: separating execution, verification, and custody makes any single compromised component insufficient to fabricate evidence and release funds — provided that separation is effective.
• Hiding exposure to reduce charges: unavailable testing stays an explicit coverage gap; discounts require evidence of reduced risk.

Smart contracts would enforce reserved funding and settlement rules, while independent evidence and appeals still govern off-chain facts. The DAO is a design warning for that settlement layer: I am evaluating a deliberately restricted, possibly non-Turing-complete language or VM with bounded execution and auditable fund-conservation rules. Restricted computation does not eliminate custody, oracle, or governance risk — it just narrows the blast radius.

The first proof point

The first proof point is a bounded paid pilot: one ecosystem, a narrow failure class, independent verifiers, and real participant choices. Acceptance requires a measurable preference for clean disclosure over sequential monetization, reliable attribution with low false accusations, sustainable funded payouts, verified protection, and paid renewal. The ramp expands only after independent replication.

The initial commercial hypothesis is to aggregate a shared software exposure through a vendor, MSP, or insurer-linked sponsor that can fund and deploy protection across many customers. A small pilot can establish operating costs and verified protection; demonstrating lower insurance losses would require a larger matched cohort.