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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
1 / 1Website performance
Independent mobile lab measurements and permanent weekly competition results from IndieTools Speed.
Last checked
- Load time
- 426 ms
- FCP
- 1.20 s
- LCP
- 4.50 s
- CLS
- 0.015
- TTFB
- 4 ms
- TBT
- 41 ms
- Speed index
- 5.10 s
Latest Performance Score: 80. Measured: October 17, 2026. Weekly Overall Rank: #589. Category Rank: #137 in AI. LCP: 4.50 s. Load Time: 426 ms.
- Overall rank · 2026-W41
- #589 Down 215 places
- Best overall rank
- #374 0 top 10 finishes
- Best category rank
- #80 0 category wins
- Latest change
- +9 score Best score 81 / 100
Website performance history
Inspect every successful mobile Lighthouse lab measurement by metric and date range.
Range
Latest score
80 / 100
Higher is better
8 measurements
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Oct 11, 2026Oct 17, 2026Weekly rank history
Track the product's finalized overall position on the IndieTools Speed leaderboard.
Range
Latest rank
#589
Closer to #1 is better
2 weeks
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Sep 28, 2026Oct 5, 2026Related products
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