Scoped engagement
A defined target and window: one app, one cloud account, one release. Fixed scope, fixed timeline, full report and retest.
Services
Everything an attacker sees. Tested like one would.
Four attack surfaces, one autonomous swarm. Agents work each surface the way a real adversary does: creatively, in chains, across boundaries. A human operator verifies every finding before you ever see it.
SVC / 01 · WEB
Web application pentesting
Your web app is where agents get creative. They map undocumented endpoints, abuse business logic, chain an IDOR with a password reset into full account takeover: attack paths that signature-based scanners structurally cannot find.
Built on live bug bounty experience against real production applications, not lab checklists.
- Business logic abuse: flows that are "working as designed" and dangerous anyway
- Auth & session chains: bypasses, token flaws, OAuth redirect abuse
- API surface: undocumented endpoints, mass assignment, broken object-level auth
- Injection classes: XSS to account takeover, SSRF, template & query injection
- Access control: IDOR, privilege escalation, tenant boundary breaks
SVC / 02 · CLOUD
Cloud infrastructure pentesting
Agents treat your cloud like an attacker who just got a foothold: what role can they assume, what metadata can they reach, which "internal" service is actually exposed. They walk privilege-escalation paths across IAM the way red teams do: in hours, not weeks.
- IAM privilege paths: role chains that end in account compromise
- Exposed services: storage, databases, queues, dashboards open to the internet
- Metadata & SSRF abuse: instance metadata to credentials to lateral movement
- Secrets sprawl: leaked keys in repos, images, logs and CI pipelines
- Network boundaries: security groups, VPC peering and egress paths
SVC / 03 · SOURCE
Agentic source code review
Hand your repo to agents that read code like an auditor and exploit it like an attacker. They trace data from every entry point to every dangerous sink, across files, services and languages, and only report the paths that actually fire.
- Taint-flow analysis: user input to dangerous sink, end to end
- Secrets & credentials: hardcoded, env-leaked, and mis-scoped
- Cryptography misuse: weak primitives, fixed IVs, broken token validation
- Dependency risk: vulnerable paths that are actually reachable
- Insecure defaults: debug paths, feature flags and orphans that bite
SVC / 04 · MOBILE
Mobile application pentesting
The app on your users' phones is an attacker's sandbox. Agents decompile, instrument and abuse it: what does the client trust that the server shouldn't let it, what secrets ship inside the binary, which deep links hand over state.
- Client-side trust breaks: logic the server should own but doesn't
- Binary secrets: API keys, endpoints and tokens shipped in the app
- Deep links & IPC: intent abuse, link hijacking, exported components
- Transport security: certificate pinning gaps and downgrade paths
- Local storage: sensitive data in prefs, DBs, logs and backups
Engagement models
Scoped, stacked, or continuous.
Every engagement is scoped and priced individually, like any serious pentest. Three ways to run:
Full-stack program
Web + cloud + source + mobile in one coordinated campaign, because that's exactly how a real adversary combines them.
Continuous immunity
Agents re-attack every time your code ships. Findings pipeline straight to your tracker; regression checks on every fix.
Not sure which surface to start with?
Tell us what you're running and what worries you most. We'll recommend the scope an attacker would choose; that's the one worth testing.