Platform

One platform from surface map to proof-backed fix

A swarm of specialized agents maps your attack surface, validates every finding with a safe exploit, and routes fixes into your workflow — black-box on your domains and white-box on connected GitHub repos.

Request Access See architecture

How it works

From connected to covered in three steps

Point PandaONE at any URL or repo and let the autonomous security swarm handle the rest.

panda@v2

$ pandaone connect

↳ scanning: 247 files indexed

↳ routes: 47 endpoints mapped

↳ ci: github-actions detected

✓ connected · ready in 3.2s

Point it at your app

One URL. No agents to babysit, no lengthy onboarding. Domain verification takes 60 seconds.

Agents simulate attacks

Non-destructive exploits, verified before you ever see them. Only real risk reaches your dashboard.

src/routes/user.tsline 47

-const q = `WHERE id=${req.params.id}`

+const q = db.prepare('WHERE id=?').get(id)

PR #247 · Security fix · Ready to merge

Review the fix & merge

A confirmed finding plus a ready-to-merge pull request. One review cycle, done.

01Connect02Attack03Fix

panda@v2

$ pandaone connect

↳ scanning: 247 files indexed

↳ routes: 47 endpoints mapped

↳ ci: github-actions detected

✓ connected · ready in 3.2s

Point it at your app

One URL. No agents to babysit, no lengthy onboarding. Domain verification takes 60 seconds.

Agents simulate attacks

Non-destructive exploits, verified before you ever see them. Only real risk reaches your dashboard.

src/routes/user.tsline 47

-const q = `WHERE id=${req.params.id}`

+const q = db.prepare('WHERE id=?').get(id)

PR #247 · Security fix · Ready to merge

Review the fix & merge

A confirmed finding plus a ready-to-merge pull request. One review cycle, done.

Architecture

How the platform fits together

Five modules from target to fix — each producing auditable artifacts.

Scan Engine

Orchestration

Dispatches specialized AI agents against scoped targets with safety guardrails.

Agent Swarm

Offensive testing

Parallel agents for recon, auth, injection, access control, and business logic.

Validation Layer

Quality gate

Re-tests every finding. Drops unreproducible results. Scores by exploitability.

Report Generator

Delivery

Technical findings, executive summary, and compliance mapping in one report.

05Beta

Fix Engine

Remediation

Generates stack-specific patches and opens pull requests in connected repos.

Scan Engine

Orchestration

Dispatches specialized AI agents against scoped targets with safety guardrails.

Agent Swarm

Offensive testing

Parallel agents for recon, auth, injection, access control, and business logic.

Validation Layer

Quality gate

Re-tests every finding. Drops unreproducible results. Scores by exploitability.

Report Generator

Delivery

Technical findings, executive summary, and compliance mapping in one report.

Fix Engine

Remediation

Beta

Generates stack-specific patches and opens pull requests in connected repos.

Coverage

Black-box and white-box, continuously

Most tools pick one. PandaONE layers both — attacking from the outside while reading connected repos from the inside.

Black-box

No credentials needed

Agents attack your application as an external adversary — mapping the surface, discovering endpoints, and chaining exploits across auth, injection, and access control.

Attack surface and subdomain mapping
Authentication and session testing
Injection — SQLi, XSS, SSRF, command injection
Broken access control and IDOR

White-box

GitHub repos

Connect GitHub repos on the full scan profile. Agents trace vulnerabilities through business logic and auth flows that black-box testing alone cannot reach.

Repo-backed analysis on connected GitHub projects
Taint flow through business logic paths
Hardcoded secrets and misconfigured policies
Dependency and supply-chain exposure

PR Reviews

Coming in beta

Pull-request security checks are in active development. Early beta focuses on diff-aware analysis and GitHub check runs.

Diff-aware security analysis per PR
GitHub check run results
Finding summaries on the pull request
Fix suggestions alongside each flag

See it work

One run. Real exploits. Fixes attached.

Point PandaONE at a target and the swarm goes to work — mapping your app, confirming vulnerabilities through safe exploitation, and drafting patches you can merge.

Broken access on billing APICritical
Script injection in searchHigh
Admin route missing authHigh

3 fixes opened as PRsContinuous monitoring on

pandaone — live scan

Capabilities

What PandaONE tests

Discovery through remediation — grouped by how the platform actually runs.

Discovery

Attack surface mapping

Agents enumerate domains, subdomains, APIs, and repo structures before testing begins.

Subdomain and endpoint discovery
Technology fingerprinting
API schema and route enumeration
GitHub repo structure analysis

Testing

Auth, injection & logic

Agents test login flows, authorization boundaries, injection classes, and business logic with context-aware payloads.

Authentication bypass and session analysis
IDOR and broken access control
SQL injection, XSS, and SSRF
Business logic and race conditions

Proof

Exploit validation

Every high-severity finding confirmed with a safe, non-destructive proof-of-concept.

Automated re-test before reporting
Evidence artifacts with reproduction steps
Unsupported claims flagged and dropped
CVSS 3.1 environmental scoring

Fix & MonitorBeta

Remediation & continuous checks

Stack-specific fixes plus scheduled re-scans and dashboard history as you ship.

Framework-aware patches and remediation guides
PR creation in connected GitHub repos
GitHub App for repo-backed scans
Scan history and alerts in dashboard

Integrations

Works with your existing stack

GitHub is live today. PR checks, auto-fix, and workflow integrations are rolling out in beta.

GitHub

Available

App install and repo connect for domain and repository scans.

PR checks

Beta

Diff-aware security analysis on pull requests via GitHub check runs.

Auto-fix PRs

Beta

Remediation patches opened as pull requests in connected repos.

GitLab

Coming

OAuth and CI pipeline integration.

Jira

Coming

Ticket creation for validated findings.

Slack

Coming

Alerts for high-severity validated findings.

Built for teams who ship fast

From first domain scan to compliance evidence — without an 8-week vendor cycle.

SaaS startups

SOC 2 and enterprise procurement require documented penetration testing. Get proof in hours — not at the end of an 8-week vendor engagement.

AI-native builders

Shipping with Cursor, v0, or Bolt? PandaONE tests what you deploy — especially auth flows and access control that AI code generators routinely miss.

Compliance-driven teams

ISO 27001, SOC 2, and enterprise customer due diligence all require pentest evidence. Continuous coverage means your report is never stale.

Learn more

Go deeper

Technical breakdowns on how each part of the platform works.

AI VAPT

Continuous AI vulnerability assessment and penetration testing. Exploit-validated findings only.

AI Pentest

Autonomous AI agents that simulate real attacker behaviour across your stack.

What is VAPT?

Vulnerability assessment vs penetration testing — and where AI changes the equation.

Hack your own app before attackers do.

Spin up a swarm of security agents on your apps, APIs, and repos. Find real bugs, prove them safely, and ship the fix — automatically.

Request Access See how it works

Beta · Limited seats · First findings in hours