Compare
How PandaONE stacks up
Against traditional methods and the new wave of AI-native security tools.
More than a scanner. Faster than a pentest.
Continuous, exploit-validated testing that reads your code, runs against your live app, and ships the fix.
| Capability | Manual pentest | Scanner | Bug bounty | PandaONE |
|---|---|---|---|---|
| Continuous, not a point-in-time snapshot | ||||
| Reads your code and tests the live app | ||||
| Validated proof for every finding | ||||
| Near-zero false positives | ||||
| Opens the fix as a pull request | ||||
| Results in hours, not weeks | ||||
| Scales across many apps |
A new category — and where PandaONE sits in it
AI-native security testing is crowded at the top (enterprise) and narrow at the bottom (PR scanners). PandaONE covers both.
| Capability | XBOWEnterprise AI hacker | CyberhoundWeb app pentest | HacktronPR security review | PandaONEAI swarm · auto-fix PR |
|---|---|---|---|---|
| Autonomous exploit validation | ||||
| Continuous testing on every PR | ||||
| Multi-step attack chain simulation | ||||
| Auto-fix pull request for every finding | ||||
| Business-logic & IDOR coverage | ||||
| Results in under 30 minutes | ||||
| Team-friendly pricing (not per-test) | ||||
| API + web app + repo coverage |
XBOW
Like PandaONE: Autonomous agents, exploit-validated findings, zero false positives
Different: $4k–8k per test, enterprise-only, no auto-fix PR
Full comparison →Cyberhound
Like PandaONE: Multi-step attack chains, business-logic testing, web app depth
Different: No API coverage, no PR integration, no auto-fix
Hacktron
Like PandaONE: PR-native workflow, GitHub/GitLab integration, real exploit focus
Different: Single-agent PR review, no full app swarm, no auto-fix
Secure your deploys 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.
No setup required · First findings in hours