Traditional scanners stop at missing headers. Engineered by senior penetration testers with years of enterprise red-teaming experience for major corporations and DAX platforms, BreachSweep combines battlefield-tested human expertise with private, self-hosted AI models to uncover deep IDORs, auth bypasses, and checkout logic flaws. Every finding comes with a reproducible PoC. Reports in 4–24 hours depending on tier.

Autonomous agents model multi-tenant auth states and fuzz API boundaries without touching sensitive client databases.
We are not another generic AI wrapper. BreachSweep was founded and is directed by senior offensive security researchers with years of authorized red-teaming experience for major DAX enterprises, financial institutions, and Fortune 500 tech platforms.
Years of rigorous penetration testing for high-stakes corporate networks, payment gateways, and mission-critical cloud backends. We operate with the exact depth and discretion expected by enterprise CISOs.
Test cases are modeled on real-world bug classes from public bug bounty disclosures, so every test reflects logic flaws that have been exploited in practice, not speculative scans.
We filter out AI hallucinations and scanner noise. Every vulnerability in your report must be reproduced with an executable cURL PoC before it is included.
How our self-hosted engine maps and tests attack surfaces without touching production customer data.
Target ownership verification via DNS TXT or HTTP token challenge. No scan runs without verified ownership.
Client-side JS bundle decomposition, unlinked API route discovery, CORS wildcard detection, and framework fingerprinting.
Multi-step logic audits: IDORs across tenant boundaries, checkout upgrade desyncs, and webhook replay vulnerabilities.
Every reported vulnerability must have a reproducible cURL proof of concept. Unproven alerts are discarded.
Delivered in 4–24 hours depending on tier: interactive web audit dashboard, downloadable executive PDF, and exact drop-in Next.js/FastAPI code patches that address the root cause.
Modern apps fail on business logic, multi-step state machines, and scoped authorization. Traditional tools weren't built for this.
Traditional scanners focus on known CVEs and missing headers. They rarely understand multi-step business logic, tenant isolation, auth state, or checkout flows.
General-purpose AI assistants are not built for authorized offensive testing. Requests may be blocked by usage policies, and unverified output can include vulnerabilities that do not exist.
Private, self-hosted AI models operating with ProjectDiscovery tooling and headless browsers. We execute real multi-step verification and discard anything that cannot be proven with a cURL script.
Representative bug classes our audits uncover (anonymized and illustrative). Every report contains exact endpoints, root-cause analyses, reproduction scripts, and drop-in code fixes.
POST /api/plans/selectThe checkout initialization endpoint upgraded the user plan store on initial intent before payment confirmation. Abandoning Stripe checkout left the user with unrestricted Pro benefits indefinitely.
curl -X POST https://target.com/api/plans/select -H 'Authorization: Bearer <GUEST_JWT>' -d '{"tier":"pro"}'
# User immediately granted Pro limits before Stripe webhook fired// Gated to Stripe checkout.session.completed webhook:
if (event.type === 'checkout.session.completed' && session.payment_status === 'paid') {
await planStore.set(session.metadata.userId, session.metadata.tier);
}We adhere to strict offensive security ethics. Before our agents execute any authenticated tests, you must verify ownership of the target domain.
Book an audit slot. We run non-destructive testing and deliver verified findings directly to your inbox.
Fast attack surface and route exposure inspection for public assets.
Complete authenticated penetration testing of your business logic and tenant scoping.
Weekly automated re-scans of your public attack surface, with alerts on newly exposed endpoints.
Clear answers regarding authorization, safety, delivery time, and model privacy.