Our security team tests your website, web application or API the way a real attacker would, proves which weaknesses can actually be exploited, and shows your developers how to fix them. We work with small businesses, SaaS teams and enterprises, and with startups that built their product quickly with AI coding tools. Not sure what you need yet? Start with a free initial security review.
A controlled, authorized attack on your own systems that shows what a real attacker could do today
Automated scanners flag possible issues, but they cannot prove that an issue is exploitable or show how several small weaknesses chain into a serious breach. A penetration test answers the questions that matter: what could an attacker reach, how quickly, and would you notice?
A vulnerability scan vs a penetration test: a scan is an automated list of potential problems. A penetration test is manual work by security engineers who verify each finding, test the logic of your application and rate every issue by its real business impact.
Outcomes: fixes prioritized by real risk, evidence for compliance, better detection and response, and hardened business-critical workflows.
Security testing tailored to your application, infrastructure and compliance needs
Coverage: public/internal apps, SPAs, auth/session, XSS/SQLi, business logic vulnerabilities.
Coverage: REST/GraphQL/RPC, authZ enforcement, rate limits, input handling.
Coverage: external perimeter, internal networks, firewall/segmentation, VPN.
Coverage: IAM, storage ACLs, serverless, Kubernetes, CI/CD pipelines.
Coverage: iOS/Android, secure storage, API integrations, reverse engineering.
Coverage: firmware, wireless protocols, device APIs, OTA mechanisms, hardware interfaces.
Coverage: multi-week realistic campaigns across cyber/physical/social vectors.
Coverage: phishing/vishing, physical entry (with rules), USB drops.
Coverage: recurring scanning, periodic manual tests, integrated remediation tracking, SLA-backed ops.
Coverage: apps created with Claude Code, Cursor, Lovable, Bolt, Replit and similar tools; access control between users, exposed secrets, database rules, server-side validation.
Coverage: chatbots, AI features and agents; prompt injection, data leakage, excessive permissions, tool and MCP integrations.
Coverage: white-box review of your repository with read access you grant; authorization logic, secrets, dependencies, risky patterns.
Most serious incidents today do not come from exotic exploits. They come from broken access rules, weak authentication flows, exposed cloud resources and risky dependencies. Our testing follows the current OWASP standards and focuses on the issues that attackers use most.
We check whether one user can read or change another user's data by changing an ID in a request, and whether regular users can reach admin functions.
Login, registration, password reset, MFA and session handling, including token expiry, logout and protection against account takeover.
Every API endpoint is tested with different roles. We look for logic flaws such as skipped payment steps, coupon abuse, negative quantities and missing rate limits.
Token signing and validation, redirect handling, SSO configuration and the separation between tenants of a SaaS platform.
Outdated or vulnerable packages, unpinned dependencies, risky third-party scripts and integrations that can expose your users.
Public storage buckets, permissive database rules, exposed admin panels, debug endpoints and secrets left in configuration or build files.
AI coding tools help you build faster. Independent security testing helps you uncover the vulnerabilities that generated code, automated scanners and functional testing may miss.
Penetration testing for vibe coders, solo founders and startup teams who build with Claude Code, Cursor, Lovable, Bolt, Replit and other AI-assisted development tools.
An AI coding assistant writes code that works for the scenario you described. Security problems usually live in the scenarios nobody described: a user who changes an ID in the URL, a request sent directly to the API without the interface, or a database rule that was left open during development.
Not every AI-built application is vulnerable. But when code is generated quickly, it is easy to ship without anyone checking authorization rules, secret handling and database permissions end to end. That is exactly what a security test does.
Your AI assistant may tell you the code is secure. It can only judge the code it can see, in the context you gave it, and it was not designed to attack your running application. An independent tester looks at the live product from the outside, with no assumptions, and tries what a real attacker would try.
You get a second opinion from people whose only job is to find what was missed, plus a clear list of what to fix first.
Missing ownership checks let anyone with an account read or edit other customers' records, files or messages.
Keys placed in front-end code, public repositories or build files can be copied and used to run up bills or reach your data.
Checks done only in the browser, weak tokens or unprotected admin routes can let attackers skip the login entirely.
Open database or storage rules, or missing row-level security, can make the whole database readable from the internet.
Endpoints without rate limits or server-side validation invite fraud, free upgrades, spam sign-ups and inflated costs.
Webhooks, analytics, AI APIs and other services can receive more data than they need, or accept requests from anyone.
We start with a free initial review of your project and tell you which areas carry the most risk. If deeper testing makes sense, we agree a focused scope that fits your stage and budget, test the live application, and deliver a report your team can act on.
Findings are rated by real impact, explained in plain language and come with concrete fix steps that you can apply yourself or hand to your AI coding assistant. After you fix them, we retest to confirm the issues are closed.
There are two different questions here. Code written by AI is still regular code and is tested like any web application. An application that uses AI as part of its functionality, such as a chatbot, an AI assistant inside your product or an agent that calls tools, has additional risks of its own. If your product works with LLMs, AI agents or MCP servers, we test these risks too, following the OWASP Top 10 for LLM Applications and the OWASP Top 10 for Agentic Applications.
Direct or hidden instructions in user input, documents or web pages that make the model ignore its rules or act for the attacker.
Leakage of system prompts, hidden context, other users' conversations or internal data the model can reach.
Agents and AI features that can do more than they need: send email, change records, run code or spend money without approval.
Tools, plugins and MCP servers that trust the model's output, lack authorization checks or expose files and internal systems.
Model output used in web pages, database queries or commands without validation, which can lead to XSS or injection.
Weak links between the AI layer and your data, and missing limits that let attackers drain API budgets or overload the service.
Our structured, safety-first approach ensures thorough testing with minimal risk to your systems
Scope, allowed targets, blackout windows, escalation contacts, NDA and authorization.
Passive/active discovery: subdomains, ports, libs, third-parties, hidden endpoints, CT logs.
Map critical assets and attacker goals; prioritize attack paths by business impact.
Quality scanners for breadth; manual techniques for logic/privilege/chain flaws.
Non-destructive PoCs; reversible/documented steps; destructive actions only with explicit sign-off.
Assess data access, system control, persistence, lateral movement, privilege escalation.
Prioritized code/config changes, WAF rules, IDS/IPS tuning, CI test cases.
Verify applied fixes; confirm closure for critical/high findings.
Executive summary, technical appendix with PoCs, remediation playbook, SIEM/WAF detection recipes.
Executive summary (1 to 3 pages): Impact and immediate actions for leadership.
Technical report: Reproducible PoCs, severity (CVSS-style), affected endpoints, remediation steps.
Remediation playbook: Developer-focused fixes, code/config examples.
Retest report for critical/high issues to verify remediation.
Detection & monitoring recipes: SIEM correlations, WAF signatures, IOC lists.
Optional workshops and tabletop exercises for your team.
See what this looks like in practice. 15 anonymized case studies from 2026 show what was broken, what we proved and why a scanner misses it.
View Case StudiesBefore inviting your first customers, let our security team take an initial look at your application. We offer a free preliminary security review to help identify potential risk areas and recommend what should be tested before launch.
Free initial assessment. No obligation. Full penetration testing is available when deeper testing is needed.
From early-stage startups to complex enterprise environments, penetration testing can be tailored to your application's size, complexity and security priorities. Start with a free preliminary review and get a clear recommendation for the next steps.
Typical range $2,500 to $7,000
Typical range, depends on scope
PTaaS: recurring penetration testing. For teams that ship often: scheduled manual tests, recurring scanning, remediation tracking and retests in one monthly plan. From $2,000 per month, depending on the number of applications and how often you release.
Ask About PTaaSMostly by tester time. It depends on the number of applications and APIs, user roles, authentication methods (SSO, MFA), cloud components, testing depth and any compliance reporting you need.
Yes. Many clients begin with the free review and a focused test of the most critical part of the product, such as login, payments or the main API, and widen the scope later.
No. You get an individual estimate with the scope written out, without any obligation. The ranges above are typical figures; your final price is agreed before any work starts.
For company websites, online stores and CMS sites such as WordPress, Joomla, Magento or OpenCart: plugins, admin panels, forms and server configuration.
Website penetration testingFor SaaS products, customer portals and custom applications: user roles, APIs, multi-tenant isolation and business logic, with packages for every complexity.
Web application penetration testingIf your website already shows signs of compromise, start with cleanup and protection. Penetration testing comes after the incident is contained.
Website protection and malware removalPayment flows, cart logic abuse, third-party widget risks.
Transaction integrity, anti-fraud, regulatory evidence.
PHI access paths, API protection, HIPAA/SOC2 evidence.
Tenant isolation, privilege escalation, onboarding security.
IT/OT convergence, PLC interfaces, supply-chain vectors.
Target asset list (domains, subdomains, IPs, APIs).
Non-production replica or blackout windows.
Test user accounts per role (with expiry).
Architecture and identity flows (SSO/OAuth).
Critical business hours and maintenance windows.
Escalation contacts.
Temporary ticket access for remediation (optional).
Data retention and evidence export needs.
Backups and rollback plan with ops.
Internal comms to avoid false positives during testing.
Penetration testing is an authorized, simulated attack on your website, application, API or network. Security engineers look for weaknesses, try to exploit them safely and show you exactly what an attacker could reach, so you can fix the most important problems first.
A typical test includes agreeing the scope and rules, mapping your attack surface, manual and automated testing, safe exploitation of confirmed issues, a written report with evidence and fix steps, and a retest of the issues you have fixed. The exact steps are listed in the methodology above.
It depends on scope and complexity. Focused tests of a small website or application typically start from $2,500, and most SaaS and API projects fall between $8,000 and $25,000. Larger and specialized projects are quoted individually. The initial review is free, and you get a written estimate before any work starts.
Most tests take 3 to 20 tester-days, depending on the size of the application and the number of roles and APIs. A draft technical report is typically ready within 5 to 10 business days after testing, together with an executive summary. Expedited options are available for urgent needs.
A scan is an automated check that lists potential issues, often with false positives. A penetration test is performed by people: they confirm which issues are real, chain them together, test business logic that scanners cannot understand, and explain the actual impact.
If your product stores customer data, takes payments or connects to other systems, a security test before launch is a good investment. Enterprise customers and investors often ask for one. You do not need to start with a large project: a free initial review and a focused test of the most critical features is often enough for an early-stage product.
It can be, but you cannot assume it. AI coding assistants produce working code quickly, yet they often miss authorization checks, keep secrets in the wrong places or leave database rules too open, especially when the prompt did not mention security. The only way to know is to test the running application.
Yes. We test the application itself, so the tool you used to build it does not matter: Claude Code, Cursor, Lovable, Bolt, Replit or code written by hand. If you share read access to your repository, we can also review the code, which helps find issues faster.
At minimum: access control between users and organizations, login and password reset flows, every API endpoint, database and storage permissions, secrets in code and front-end files, payment and subscription logic, and third-party integrations. The checklist in the AI-built apps section above is a good starting point.
After a paid penetration test you receive an executive summary, a technical report with reproducible evidence and severity ratings, developer-focused fix steps and a retest report for the issues you fixed. After the free initial review you receive an email with the main risk areas and our recommendation for the next step, not a full report.
Our default approach is non-destructive. Any potentially disruptive action happens only with your explicit approval, ideally in a maintenance window or on a staging copy. Every step is documented.
Yes. We need test accounts or a delegated test method for each role. Complex SSO and MFA setups add some time to the scope, and our team has experience with enterprise identity systems.
Yes. After you fix the reported issues, we retest them to confirm they are closed and give you a retest report. PTaaS plans include recurring validation as part of the service.
Do not wait for attackers to find your vulnerabilities. Our penetration testers will identify weaknesses and give you clear, prioritized remediation guidance. Not sure where to start? Ask for a free initial review first.
