Sentesting scans your repositories, running applications, and mobile builds — then arms shipped apps to defend themselves on-device. Real, exploitable findings with a working proof-of-concept, not noise.
You described it, the AI built it, and it works. But AI writes code that runs — not code that's safe. The exposed key, the unguarded route, the query stitched from raw input: they never show up in the demo. They show up in the breach.
Ship on vibes. Sleep on proof.
Most tools test one layer. Sentesting connects static code, live behaviour, mobile builds, and on-device runtime — so a finding is confirmed across the whole path, and shipped apps defend themselves after release.
SAST · source & dependencies
Parses your repo to a real AST across six languages, maps architecture and data flow, and reasons about trust boundaries — so you see what's actually reachable.
DAST · aggressive AI agents
Combines your connected GitHub repository with a DNS-verified staging app, then aggressively validates exploitable paths with reproducible evidence.
APK analysis + hardening
Inspects Android builds against OWASP MASVS, then applies controlled, reversible hardening on request — rebuild, zipalign and re-sign, with a full change report.
RASP · post-compile, on-device
Hardens a built app after compilation and before your signing step — injecting defenses that fire on the device itself. Verified on-device: checks actually detect and respond, they don't just ship.
Sentesting fits your existing CI/CD. Scan a repository with Atlas, pair that repository with its verified staging URL for Ares, or upload a build artifact—no SDK or agents.
Teams usually stitch together a SAST tool, a DAST tool, and a mobile vendor. You get three bills, three dashboards, and findings that never talk to each other.
| Capability | Sentesting | Typical SAST | DIY / OSS |
|---|---|---|---|
| Static analysis (SAST) | |||
| Dynamic testing (DAST) | |||
| Mobile APK analysis | |||
| On-device runtime protection (RASP) | |||
| Server-side runtime attestation | |||
| Proof-of-concept required | |||
| Architecture + threat model | |||
| No training on your code | |||
| Single price, all engines |
Connect a GitHub repository, verify its staging hostname for Ares, or upload an APK. No agents or invasive setup.
Atlas analyses source; Ares combines source with aggressive live testing; mobile engines inspect and protect builds.
Every finding ships with severity, CWE, evidence and remediation. Re-scan to prove it's closed, then export.
No. Atlas scans a repository, Ares combines that repository with its DNS-verified staging URL, and Shield takes an APK. Aegis protection is applied after compilation, so there is no SDK to embed.
Yes. Aegis injects on-device defenses (root, debugger, emulator, hook, tamper, screen-capture and MITM checks) into a built app. We verify on a real device that the checks fire and respond — for example, a proxy-detection check that triggers only when a proxy is present — not just that a valid APK is produced.
Ares is aggressive and must be run only against an authorized, disposable staging environment. Dispatch is default-deny until DNS ownership and repository access are established, and private/metadata addresses remain blocked.
No. Your data is not used for model training. Atlas sends bounded summaries when AI enrichment is enabled; source-aware Ares sends authorized source context and live interactions to Gemini so it can plan and validate exploits.
Atlas and the deterministic engines usually finish quickly. Ares is an iterative autonomous pentest and can run substantially longer depending on the application and findings.
Spin up your first scan in minutes — no credit card, no agents. Add Aegis when you upgrade.