Scope one real boundary
Select one product and agree the code, artifact, live target, authorization, and business context that make the evaluation credible.
A founder-assisted ZeroQuarry evaluation for software companies with meaningful application-security pressure and no dedicated AppSec platform team. Scope one product, investigate it, challenge the findings, act on what holds up, retest the work, and leave with current evidence.
Choose an authorized repository, release, binary, or application and define what a useful result must change.
Challenge claims, record human outcomes, and keep rejected results out of active risk.
Move accepted work into remediation and finish with current evidence of the outcome.
The cohort is designed around completed security work. The scan is the beginning, not the deliverable.
Select one product and agree the code, artifact, live target, authorization, and business context that make the evaluation credible.
Investigate the product with deterministic candidates and AI agents, then preserve the source, reasoning, evidence, and project history.
Use separate adversarial review, proof, and human disposition so weak results do not quietly become engineering work.
Open GitHub issues, propose controlled patches, or route work through the system your engineering team already uses.
Verify whether remediation changed the original risk and keep regressions or unresolved decisions visible.
Leave the 30 days with a security report and a durable record of findings, decisions, remediation, and retest status.
A customer, auditor, launch, or risky product boundary has made application security materially important.
An engineering leader can authorize one real product boundary and review what ZeroQuarry finds.
The team wants validated remediation and evidence, not the largest possible alert count.
You need a particular certification or assessor opinion without confirming its acceptance requirements.
No engineer can review findings, make risk decisions, or act on valid remediation during the 30 days.
The target is not yours or you do not have explicit authorization to test it.
A coding agent can find and fix real bugs. The commercial question is whether your team also wants to build the authorization, skeptical review, human decision trail, remediation workflow, retesting, and reporting around every result.
| What the team needs | Coding agent or one-off prompt | ZeroQuarry | Build it internally |
|---|---|---|---|
| Primary job | Explore, explain, or change code in a developer session. | Run an authorized finding-to-fix security lifecycle. | Own and maintain a custom security platform. |
| Skeptical review | Depends on the prompt and context the operator assembles. | Separate investigator and adversarial-review roles, followed by human disposition. | Design, evaluate, and maintain the agent chain and quality bar. |
| Decision record | Usually a chat, patch, or ad hoc artifact. | Traceable evidence, confidence, status, rationale, remediation, and retest history. | Build the data model, controls, integrations, and reporting. |
| Engineering handoff | Suggest or implement a code change. | Route accepted work into issues or controlled patch proposals, then retest the original risk. | Connect every repository, approval path, ticketing system, and CI policy. |
| Customer or audit use | A useful input, but not a durable security operating record by itself. | A current report plus the evidence and human decisions behind it. | Create and govern your own evidence package and review process. |
| Best fit | A developer investigating or fixing a specific concern. | A software team under security pressure before dedicated AppSec-platform headcount. | A well-funded security team that wants platform engineering to be a core capability. |
The cohort makes this a falsifiable purchase decision: if the managed workflow is not materially more useful than your existing coding-agent stack, stop after the 30-day evaluation.
Each company starts from its own product and security trigger. The operating sequence stays bounded and comparable.
Agree the target, authorization, product context, success condition, execution policy, and model-funding choice.
Run the first assessment, inspect the attack-surface plan, and challenge findings before assigning work.
Record valid, invalid, accepted-risk, and mitigated outcomes; move the work that matters into fixes.
Verify remediation, assemble the current report, quantify the outcome, and make an explicit commercial decision.
ZeroQuarry will help scope the first product, review the workflow with your team, investigate failures, and finish with an outcome review. The product will not be presented as a replacement for a certification, assessor, or every form of human penetration testing.
Participating teams provide an authorized target, an accountable technical reviewer, and direct feedback about what was useful, wrong, or commercially valuable. Public attribution or a testimonial is never required.
The cohort is intended for teams making a real continue-or-stop decision, not collecting another free security report.
Scope, kickoff, first baseline assessment, working review, and the final commercial decision session.
Select annual Coverage at the final review and apply the full $1,000 baseline credit, leaving $920 for the first annual subscription.
Use account-managed model keys, or separately fund hosted model usage with costs kept visible.
No long-term commitment is required to run the guided baseline. Teams that need to validate fit before purchasing may apply first; payment begins only after ZeroQuarry and the team agree the boundary, success criteria, and decision date.
Applying does not create an account or charge anything. ZeroQuarry will confirm fit, authorization, success criteria, model funding, the $1,000 fee, the $1,920 annual Coverage continuation price, and a decision date before the guided baseline begins.
Bring one real product and leave with an explicit security outcome and commercial decision in 30 days. Continue on annual Coverage at $1,920 per year and the full $1,000 baseline fee is credited.