Authorization stays explicit
Remote targets, sender and repository boundaries, shares, and GitHub access are individually controlled.
One AI security-operations platform to receive work, test the product, challenge findings, route remediation, verify fixes, and package evidence.
Each capability is useful independently; together they replace the fragmented handoffs between scanners, inboxes, tickets, patch tools, retests, and audit folders.
Run AI penetration testing and application security reviews across source code, shipped binaries, and authorized live targets in one project history.
Explore capabilityChallenge AI security findings with skeptical vendor-style review, rebuttal, confidence scoring, evidence, and accountable human decisions.
Explore capabilityRun continuous application security with PR scans, GitHub Actions, scheduled rescans, changed-code analysis, APIs, Slack, and scan lineage.
Explore capabilityAutomate lean security operations with vulnerability-report intake, finding lifecycle, Jira, ServiceNow, GitHub, Slack, search, and audit history.
Explore capabilityMove validated vulnerabilities into patches, GitHub auto-fix pull requests, Jira, ServiceNow, GitHub Issues, and focused security retests.
Explore capabilityRun 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 capabilityCreate pentest-style PDF reports, asset evidence packs, controlled finding shares, disclosure records, and audit trails for customers and auditors.
Explore capabilityZeroQuarry treats intake, validation, ownership, remediation, retesting, and assurance as first-class security work.
PR, schedule, API, report
Source, binary, live
Proof and skeptical review
State, reason, owner
Patch, PR, ticket
Verify or regress
Evidence and sharing
ZeroQuarry can automate investigation and routine coordination without silently authorizing a live test, accepting business risk, exposing evidence, or merging production code.
Remote targets, sender and repository boundaries, shares, and GitHub access are individually controlled.
Validation, dispute, regression, accepted risk, and archive history remain visible and attributable.
Generated changes flow through installation, enrollment, approval, branch protection, CI, review, and merge.
A useful evaluation starts with a real security boundary and follows the result all the way through validation, remediation, and evidence.