Offensive security · AI-augmented

Machines surface the risk. Operators prove it.

AI accelerates recon and attack-surface mapping; senior operators verify, exploit, and prioritize what actually matters. You get proof and a fix list — not a scanner dump.

Book a scoping call See the method
● Every finding human-verified / No scanner-only reports / NDA on request

Aligned to the standards your auditors already use

  • OWASP ASVS / Top 10
  • NIST SP 800-115
  • PCI DSS
  • SOC 2
  • ISO 27001

Responsible disclosure

Vulnerabilities we’ve found & reported to

  • Google
  • Anthropic
  • American Express
  • Under Armour
  • Naver
  • Cursor
  • CodeRabbit
  • Mintlify
  • Imena
  • & more

Experience across FinTech · SaaS · Healthcare · Crypto & Web3 · Public sector

We don’t ship a finding we haven’t reproduced by hand.

Every candidate the AI surfaces is reproduced, exploited, and rated by a senior operator before it reaches your report.

Machine layer

Map & rank

Subdomain and asset enumeration, stack fingerprinting, attack-surface graphing, and exploitability ranking. Speed and coverage at machine scale.

Operator layer

Verify & prove

Senior operators reproduce every flagged candidate, exploit and chain real paths, drop false positives, and rank by business impact. Judgment and proof.

The handoff

The AI candidate list becomes an operator worklist. Only human-reproduced, evidence-backed findings ship — fewer alerts, zero unproven criticals, and a fix list you can act on.

Services

Manual exploitation across your real attack surface — not a scanner pass with a logo on it.

Web & API / AppSec

OWASP ASVS-led testing of web apps, APIs, auth flows, and business logic — manual exploitation, not a scanner pass.

Cloud & Infrastructure

AWS, GCP, Azure, and Kubernetes configuration, IAM, secrets, and network-path review against real attacker reachability.

External & Network

Internet-facing recon, exposure mapping, and exploitation of perimeter services and forgotten assets.

Red Team & Adversary Sim

Objective-based, MITRE ATT&CK-mapped scenarios against people, process, and technology.

Mobile

iOS and Android application and API testing, including local storage, transport, and platform misuse.

LLM & AI Application Security

Prompt injection, data exfiltration, tool/agent abuse, and guardrail testing for AI-powered features.

How an engagement runs, scope to sign-off.

Senior-led from start to finish — and we re-test your fixes before anything is called resolved.

  1. 01

    Scope

    operator-led

    Targets, rules of engagement, and safe-test boundaries agreed up front. Senior-led, NDA on request.

  2. 02

    Recon & map

    ai

    AI enumerates assets, fingerprints the stack, and builds the attack-surface graph at scale.

  3. 03

    Verify & exploit

    operator

    Operators reproduce flagged candidates, exploit and chain real paths, and drop false positives by hand.

  4. 04

    Impact analysis

    operator

    Findings rated by business impact and exploitability — not raw CVSS noise.

  5. 05

    Report

    operator

    Reproducible evidence, clear severity, and remediation steps written by the engineer who found it.

  6. 06

    Retest & sign-off

    operator

    We re-test your fixes and confirm closure, so “resolved” actually means resolved.

100%
of findings reproduced by a human before they reach you
24–72h
median time to first validated finding
30-day
free fix re-test on every engagement

operator@pentestshell ~ % ./contact --priority high

Bring a target. We’ll bring the operators.

Tell us what you want tested. You’ll talk to a senior engineer — not sales — usually within one business day.

  • A senior operator scopes the work with you — NDA on request.
  • A 30‑minute call, no obligation and no sales script.
  • A clear quote and timeline before any testing begins.

Prefer email? hello@pentestshell.com