Run product security like you already staffed the team.
ZeroQuarry receives security work, tests source, binaries, and live applications, challenges weak findings, opens fixes, verifies remediation, and packages the evidence customers ask for.
Security becomes urgent in recognizable moments.
ZeroQuarry starts with the decisions buyers actually face. Scanner categories come later.
Open-source report queue
AI scanners create more low-context claims than maintainers have time to validate.
See the workflowEnterprise deal
A buyer asks for current test evidence and how findings are remediated.
See the workflowRisky release
A change crosses identity, tenant, billing, upload, webhook, or runtime boundaries.
See the workflowResearcher report
An external claim arrives and someone must resolve the target, reproduce it, and respond.
See the workflowFast-moving codebase
Security review must happen in PR and scheduled workflows without becoming a noisy gate.
See the workflowLean security team
The company needs real coverage before it can hire every AppSec and security-operations specialty.
See the workflowFrom trigger to verified outcome.
Point tools find alerts. ZeroQuarry connects the security work that begins before the alert and continues after the report.
Receive
Change, schedule, API, or report
Assess
Source, binary, or live target
Validate
Proof, challenge, rebuttal
Decide
State, reason, accountable owner
Remediate
Patch, PR, Jira, ServiceNow
Retest
Mitigated, verified, or regression
Prove
Reports, shares, Evidence Room
Six capabilities. One security record.
Use the whole loop or begin with the security motion creating the most operational drag today.
AI security testing
Run AI penetration testing and application security reviews across source code, shipped binaries, and authorized live targets in one project history.
Explore capabilityAdversarial validation
Challenge AI security findings with skeptical vendor-style review, rebuttal, confidence scoring, evidence, and accountable human decisions.
Explore capabilityContinuous application security
Run continuous application security with PR scans, GitHub Actions, scheduled rescans, changed-code analysis, APIs, Slack, and scan lineage.
Explore capabilityAI security operations
Automate lean security operations with vulnerability-report intake, finding lifecycle, Jira, ServiceNow, GitHub, Slack, search, and audit history.
Explore capabilityVulnerability remediation
Move validated vulnerabilities into patches, GitHub auto-fix pull requests, Jira, ServiceNow, GitHub Issues, and focused security retests.
Explore capabilityPrivate execution
Run AI security scans from customer-controlled Docker runners for private Git repositories and authorized internal applications, with outbound-only connectivity and minimized result return.
Explore capabilitySecurity evidence and reporting
Create pentest-style PDF reports, asset evidence packs, controlled finding shares, disclosure records, and audit trails for customers and auditors.
Explore capabilityAI speed needs an evidence bar.
Autonomous pentesting is becoming a crowded claim. ZeroQuarry’s differentiation is what happens around the model: separate investigator and reviewer roles, human lifecycle decisions, controlled remediation, retesting, and evidence that remains useful after the scan finishes.
Severity describes impact. Confidence describes whether the claim is likely to survive review.
Disputed and accepted-risk decisions retain reasons instead of disappearing from the record.
Generated fixes remain proposals under repository access, approval, CI, and merge controls.
Start from the decision in front of you.
Each playbook combines the relevant assessment, review, remediation, and evidence capabilities into an operating outcome.
Open source maintainers
Validate noisy vulnerability reports against public source and keep the maintainer decision attached to the evidence.
See the programSecurity for growing companies
Build a credible startup security program with AI security testing, vulnerability triage, remediation, retesting, and customer evidence before hiring a large team.
See the playbookPull request security review
Run AI pull request security reviews in GitHub Actions, focus on changed code, validate findings, open remediation work, and retest merged fixes.
See the playbookRelease security review
Review release source, shipped artifacts, and authorized staging behavior with AI penetration testing, adversarial validation, remediation, and evidence.
See the playbookInbound vulnerability reports
Forward researcher and customer vulnerability reports into bounded AI triage that maps targets, starts assessments, preserves evidence, and routes remediation.
See the playbookCustomer and audit evidence
Answer customer security reviews and audit evidence requests with current asset reports, pentest PDFs, controlled finding shares, audit history, and retests.
See the playbookVulnerability disclosure
Validate vulnerability disclosures, generate proof and draft reports, share findings securely, track vendor timelines, and preserve remediation evidence.
See the playbookBuilt where real vulnerability reports land.
ZeroQuarry’s workflows come from finding, validating, coordinating, and fixing real product vulnerabilities. That work shapes the product more than generic scanner patterns do.
Published coordinated research on exploitable plugin and extension ecosystems.
Security leadership and vulnerability-triage experience across Elastic, Kong, and Vectara.
Validated research patterns feed future prompts, coverage, report language, and evidence structure.
Trace the plugin path, prove reachability, and identify the affected configuration.
Test default state, permissions, versions, and realistic user action.
Coordinate the maintainer response before turning the finding into public research.
Run a 30-day security operations sprint.
Start with one real product, complete the loop from assessment to verified outcome, and decide from evidence. No card or sales call is required.