Espreso Lab

Espreso Lab

Espresso Lab · Coding · Productivity

Espresso Lab is a mobile app security consultancy for iOS and Android teams. It audits apps against OWASP MASVS, with AI handling evidence collection and expert testers verifying each finding.

Interface preview of Espreso Lab

About Espreso Lab

What Is Espresso Lab

Espresso Lab is a security firm for mobile-first startups. You send it an iOS or Android app, and a team led by founder Mohammed Hmedat tests it the way an attacker would: static review of the code, dynamic analysis of the running app, and runtime checks on storage, network traffic, and authentication. Every test case is mapped to a control group in OWASP MASVS v2 and the MASTG testing guide, so the output is a structured gap list rather than a pile of observations.

The problem it solves is timing. A seed-stage team can't spend six weeks and a five-figure retainer on an enterprise security vendor, but shipping a health or fintech app without a mobile security audit is worse. Espresso Lab runs the repetitive parts of an engagement through an AI-assisted pipeline, mostly evidence collection, test orchestration, and coverage tracking, then hands findings to a senior tester for exploitation and sign-off. The site claims delivery in days instead of weeks, and the pricing is positioned for startups rather than enterprises.

The limits are structural. This is a service, not a self-serve product: there's no dashboard to log into, no scan you can trigger at 2 a.m., and no published price list. Capacity also follows the founder-led model, so parallel engagements are limited and scheduling depends on the calendar. If you want continuous automated scanning baked into CI from day one, you're buying an engagement plus a DevSecOps setup, not a subscription.

Getting Started

  1. Send a message through the contact section of espressolab.ai with your app type, platform, and release timeline.
  2. Agree on scope and threat model. You define the targets (app binary, backend APIs, test accounts) and Espresso Lab maps the attack surface and trust boundaries.
  3. Hand over builds and credentials for the test window. Automated recon sweeps the MASVS control set first, then a human tester validates each claimed finding.
  4. Read the report, work through the prioritized fixes, and use the included re-test to confirm every issue is closed before you ship.

Product Information

A quick look at Espreso Lab's pricing, supported platforms, and performance.

Free PlanNo
Paid PlansCustom quote per project
PlatformWeb (remote engagements for iOS and Android)
DeveloperEspresso Lab
CategoryCoding · Productivity
Release DateN/A
Latest UpdatedOct 2026
Website VisitsN/A
Website Global RankN/A
API AvailabilityNo

Best for

The users, tasks, and scenarios where this tool fits best.

Users

  • Startup founders shipping a first mobile release
  • In-house mobile developers without a security hire
  • Teams facing an enterprise security questionnaire

Tasks

  • MASVS gap analysis before a compliance deadline
  • Penetration testing before an app store launch
  • Setting up a secure SDLC

Scenarios

  • Raising a round
  • Post-incident cleanup
  • Pre-integration review of a partner SDK

Key features

OWASP MASVS Assessment Across Every Control Group

The core engagement reviews your app against OWASP MASVS v2, covering storage, cryptography, authentication, network communication, platform interaction, code quality, and resilience. Each finding carries a control reference, a severity rating in CVSS style, and reproduction steps. That mapping is what makes the report usable in a compliance conversation instead of sitting in a shared drive.

Penetration Testing That Reaches the Backend API

Testing doesn't stop at the app binary. Espresso Lab attacks the backend APIs behind the app. The scope covers authentication flows, session handling, and business logic abuse such as replaying a promo code or skipping a payment step. Mobile apps usually fail at the seam between client and server, so this is where a lot of the real findings land.

AI-Accelerated Audits With Human Sign-Off

AI-accelerated security testing is the pitch, and it shows up as a pipeline that handles evidence collection, test orchestration, and coverage tracking. That is the repetitive work which eats most of a traditional engagement. Senior testers then validate every claimed finding by hand before it reaches the report. The split matters: you get faster turnaround without false positives that waste your sprint.

MASVS-L1 and L2 Compliance Evidence

The team runs gap analysis and verification against both MASVS levels, L1 for baseline hygiene and L2 for apps handling sensitive data such as payments or health records. You get an evidence trail you can hand to auditors, enterprise customers, or an acquiring company. The verification summary is written to be shared, not decoded.

Secure SDLC and DevSecOps Integration

If you want the fixes to stick, the engagement can extend into your pipeline: automated SAST and DAST in CI, dependency scanning, and pre-release security gates. The goal is to catch regressions before they reach a release candidate. It's a setup project, not a managed service you rent monthly.

Remediation Support With a Free Re-Test

Findings come with prioritized fixes and code-level guidance instead of a PDF and a goodbye. The re-test is included, so you can confirm each issue is closed rather than guessing. For a small team, that second pass is often the difference between a report and an actual security improvement.

Pros and cons

Pros

  • Every finding maps to an OWASP MASVS control group and ships with severity plus reproduction steps, which makes the report usable in due diligence.
  • Work is executed and signed off by the founder, a penetration tester who specializes in web and mobile app security, with no juniors or outsourced testers in between.
  • Remediation guidance is code-level and the re-test is free, so closing findings doesn't require a second purchase.
  • AI-assisted recon compresses the boring 80% of an audit, and the site claims delivery in days rather than the weeks a traditional firm quotes.

Cons

  • There's no self-serve product. No login, no dashboard, no scans you can schedule yourself, so every engagement starts with a conversation.
  • Pricing isn't published anywhere on the site. You have to book a call to find out whether a mobile security audit fits your budget.
  • Founder-led delivery means limited parallel capacity. If your release date is tight and the calendar is full, you wait.

Frequently asked questions

It's a service. You hire a consultant, not a subscription. The AI pipeline is internal tooling that speeds up evidence collection, and what you receive is a report with findings and remediation steps.