WHY ZEROQUARRY Continuous adversarial vulnerability research

Not another AI scanner.

ZeroQuarry runs adversarial agents across your source, binaries, and live targets to find exploitable vulnerabilities, challenge weak claims, generate proof, and move fixes into your existing security workflow.

Open the Cloud Console -> See what is different

3 surfaces

Source · Binary · Live

2 sides

Red team · Vendor review

1 loop

Evidence · fix · retest

session://red-vs-vendor · target=auth-svc LIVEturn 07

RED TEAM VENDOR TEAM awaiting verdict...

01 · The gap

Most tools stop
at suspicion.

Security teams do not need another queue of plausible alerts. They need evidence that a vulnerability is real, enough context to prioritize it, and a path to fix it before the next audit window.

SAST / DAST

Pattern or probe

Finds suspicious code paths or endpoint behavior, then leaves your team to decide whether the claim matters in your application.

AI AUTOFIX

Patch after alert

Suggests a fix for a known alert, but often inherits the scanner's uncertainty and does not prove the underlying exploit.

ZEROQUARRY

Adversarial research loop

Investigates like a red team, challenges findings like a skeptical vendor, and ships the surviving evidence into reports, tickets, and patches.

ZeroQuarry is built for teams that want vulnerability discovery to happen continuously, without turning every sprint into alert triage.

02 · Validation

Findings must survive
a skeptical counter-party.

A single agent can be confident and wrong. ZeroQuarry makes the claim work harder: the red-team side proves exploitability, the vendor-review side tries to reject it, and rebuttal must answer with evidence or concede.

Red Team Agent · proves

Builds the exploit story.

Traces source-to-sink paths, probes live behavior, reads decompiled artifacts, and records findings with impact, severity, and reproduction context.

output Vulnerability claim, source reference, CVSS vector, reproduction path, proof-of-concept artifact, and candidate remediation.

Vendor Review Agent · falsifies

Challenges weak claims.

Reviews findings as if defending the product: checking reachability, context mitigations, false-positive categories, and whether the evidence actually proves impact.

verdict Accepted, needs more information, rejected, revised, sustained, or retracted. Confidence updates from the outcome.

STEP 01

Investigate

Agents search source, binaries, or live targets for exploitable behavior, not just risky patterns.

STEP 02

Challenge

A vendor-style reviewer tries to reject unsupported claims before they reach your team.

STEP 03

Rebut

The red-team side must sustain, revise, or retract with concrete evidence.

STEP 04

Score

Confidence reflects adversarial outcome, human signals, and repeat appearances across scan versions.

03 · Coverage

Real bugs hide across
more than source.

ZeroQuarry follows the system you actually ship: application code, compiled artifacts, and authenticated live behavior. Each surface gets the same evidence-first review loop.

01 Source

req.body.tenant

invoice.patch()

owner_id

db.update()

Source code review

Connect repos or upload archives. Agents inspect auth logic, data flow, deserialization, business rules, and changed files in delta rescans.

private git and CI hooks
diff-scoped rescans
logic bugs and authZ drift

02 Binary

classes.dex exported Activity auth=false

AndroidManifest deep link admin

libnative.so strcpy sink argv

strings update_url http://

Shipped artifact analysis

Upload APKs, JARs, firmware images, installers, and archives. ZeroQuarry expands, decompiles, and reviews what customers actually receive.

mobile and packaged apps
manifests and embedded secrets
update and signature flows

03 Live

[14:02:18] GET /api/invoices/42 200

[14:02:19] PATCH tenant=43 200

[14:02:20] BOLA write impact confirmed

scope api.example.com

Authorized live testing

Point ZeroQuarry at running apps and APIs. Scope hosts, required headers, redacted auth, and explicit authorization controls keep active testing bounded.

authenticated API probing
BOLA, SSRF, rate-limit checks
safe active-test guardrails

Want the full capability map? Explore the platform ->

04 · Operations

From scan to fix
without another queue.

B2B teams need recurring coverage and clean handoff. ZeroQuarry connects scans to projects, schedules, Slack, Jira, ServiceNow, GitHub patches, share links, and evidence exports.

Run continuously

Scan on push, schedule, or API. Delta runs focus agents on what changed.

Validate evidence

Adversarial review records what survived, changed, or got retracted.

Route the work

Create Jira or ServiceNow records, share findings, notify Slack, or export reports.

Patch and retest

Generate focused diffs, open GitHub PRs with approval gates, and rescan the lineage.

05 · Audit-ready output

SOC 2 proves process.
ZeroQuarry helps you run it.

A quarterly scan tells auditors you checked a box. Continuous evidence tells your team what changed, what was verified, what was fixed, and what still needs attention.

REPORT

Defensible findings

CVSS vectors, proof-of-concept artifacts, source references, confidence, final state, and agent discussion travel together.

HISTORY

Continuous record

Projects keep scan versions, tags, lineage, prior appearances, human validation signals, logs, and remediation context.

HANDOFF

Workflow exports

Send the result to Jira, ServiceNow, GitHub Issues, Slack, Markdown, HTML, PDF, or the JSON API.

Need report detail? See evidence & reports ->