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About PandaONE

PandaONE is continuous offensive security for teams that ship fast.

It runs a swarm of AI security agents against your apps, APIs, and repos. The agents map what is exposed, think laterally like an attacker, and chain steps across authentication, business logic, injection, and misconfiguration. They do not stop at “this might be vulnerable.” Every finding is confirmed with a safe, non-destructive proof-of-concept exploit before it ever reaches your dashboard.

That is the product rule: every alert ships with proof — or it does not ship.

Connect a domain or repository. Domain verification takes about a minute. You choose depth — a quick pass on a single domain, or a full engagement across the apex and subdomains. Agents work in isolated environments with guardrails, so scans are safe to run against real apps.

Results come back as confirmed risk, in plain language, with evidence your engineers can reproduce. Plug it into the dashboard, or GitHub Action. When a fix is ready, PandaONE opens a pull request: finding, proof, and patch in one review cycle. Verification re-runs on later commits so regressions do not slip back to production.

PandaONE is built for startup and SMB engineering teams — founders, CTOs, AppSec leads, and developers who cannot wait eight weeks for a pentest and cannot live inside a noisy scanner. Annual tests leave a gap. Static tools create fatigue. PandaONE closes both: machine-scale penetration testing that reports only what is real, then puts the fix where your team already works.

Who it is for
Startup and SMB engineering teams — CTOs, AppSec leads, and developers shipping apps, APIs, and repos without a pentest bench.
Problem it solves
Most teams shipping with Cursor, Copilot, or v0 merge far more code than any review process was built for. Annual pentests are too slow and too narrow. Traditional scanners dump unverified alerts — possible issues, not proven ones — so engineers ignore them. Attackers, using the same AI, probe continuously. Between weekly deploys and a once-a-year test, real holes sit in production: broken auth, IDOR, injection, and misconfigured APIs. Small teams cannot hire a pentest bench, and they cannot afford to drown in false positives.
The solution
You point PandaONE at a URL or repo. A swarm of AI security agents maps the attack surface, simulates multi-step attacks, and only reports what they can prove with a safe, non-destructive exploit. Findings arrive in plain language with evidence — not a wall of CVE codes. On GitHub, you can run it from the dashboard, CLI, or a GitHub Action so coverage follows every commit. When a fix is ready, PandaONE opens a pull request. Security stops being a yearly event and becomes part of how you ship.
What makes it unique
Choose PandaONE when you need attacker-grade testing without an enterprise pentest program. Every alert ships with proof — or it does not ship. That single rule kills scanner noise. Agents chain steps across auth, IDOR, SQLi, XSS, and SSRF the way a human tester would, then attach a reproducible exploit and a ready-to-review patch. You get depth closer to a pentest, speed closer to a CI check, and a fix sitting in your repo — not a PDF you have to interpret.

Features

  • Scan Your APP and get Detailed Report

Details

Platforms
  • Web
Pricing
  • Paid
  • Subscription
Built for

Startup and SMB engineering teams — CTOs, AppSec leads, and developers shipping apps, APIs, and repos without a pentest bench.

Building since

2026

Technology

Homepage of pandaone.dev

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Website performance

Recorded mobile lab measurements and finalized weekly standings from IndieTools Speed.

99ExcellentMobile Lighthouse

Measured · UTC

Load time
418 ms
FCP
1.05 s
LCP
1.05 s
CLS
0.015
TTFB
4 ms
TBT
71 ms
Speed index
3.36 s

These stored lab observations describe controlled test runs. They are not real-user Core Web Vitals or a guarantee of search rankings. Weekly standings below remain attached to their finalized edition.

Overall rank · 2026-W44
#938
Down 227 places
Best overall rank
#374
0 top 10 finishes
Best category rank
#80
0 category wins
Latest change
+8 score
Best score 81 / 100

Method: psi-mobile-two-sample-mean-v1 · 2 samples per reading. Only readings with the same recorded method and sample count share a chart. Lab results can vary between runs.

Website performance history

Inspect every successful mobile Lighthouse lab measurement by metric and date range.

Range

Latest score

99 / 100

Higher is better
34 measurements

Use the left and right arrow keys to inspect measurements. Use Home or End to jump to the first or last measurement. Press Escape to dismiss the chart tooltip.

Oct 9, 2026Nov 7, 2026

Weekly rank history

Track the product's finalized overall position on the IndieTools Speed leaderboard.

Range

MetricOverall rank

Latest rank

#938

Closer to #1 is better
2 weeks

Use the left and right arrow keys to inspect weeks. Use Home or End to jump to the first or last week. Press Escape to dismiss the chart tooltip.

Oct 19, 2026Oct 26, 2026
DR3 (primary model)
5

+1up since 6 Nov

DR4
Not measured yet

Measured · pandaone.dev

What do DR4, DR3 and the model difference mean?
DR4:
Ahrefs' newer model. It gives more weight to links from sites with organic search traffic and rates a subdomain on its own links.
DR3:
The previous model, shown in the Ahrefs app until 1 December 2026.
Model difference:
DR4 minus DR3 for the same domain. The models calculate differently, so this is not growth or a drop; the “since” lines compare each model with itself.

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