UpDoer Technology
Automated

Security testing that finds access and configuration flaws before an attacker does

Many serious weaknesses are ordinary defects: someone can see another user's data, a setting was left open, an input is trusted. We test for these systematically, say plainly where QA-level testing ends, and bring in specialist penetration testing when the risk calls for it.

Overview

What it is. Security testing examines whether an application resists misuse: that access control holds, authentication cannot be bypassed, inputs are handled safely, and configuration does not expose more than intended.

Who it is for. Product teams handling personal or payment data, SaaS platforms with multiple tenants, mobile and web apps with account systems, and teams preparing for a customer security review.

Why it matters

The problem it addresses. Functional testing proves that the right user can do the right thing. Security testing asks what happens when the wrong user tries, or when the right user does something unexpected.

When it matters most. Before launch, after architectural change, when adding payments or sensitive data, when a customer asks for assurance, and periodically as dependencies and configurations change.

What happens without it. Weaknesses that could have been found in testing are found by customers, researchers or attackers, with cost, disclosure and trust consequences far beyond the fix itself.

What we test

  • Access control

    role, tenant and object-level checks (the top-ranked OWASP category)

  • Authentication and session handling

    login, reset, token lifecycle, lockout

  • Input handling and common injection classes in web and API surfaces

  • Security misconfiguration

    headers, exposed endpoints, default settings, environment differences

  • Dependency and supply-chain hygiene review at a level appropriate to a QA engagement

  • Security checks for AI-enabled features, referencing the OWASP Top 10 for LLM Applications

  • Clear hand-off to specialist penetration testing where depth is required

How UpDoer approaches Security Testing

  1. Understand

    Requirements, tickets, code diffs and product context.

    We learn what data the product holds, who the users and tenants are, and which compliance or customer requirements apply, without assuming any certification.

  2. Risk Mapping

    Where a failure would cost the most.

    Assets and flows are ranked by what an attacker would want and what a mistake would expose, and mapped to the relevant OWASP categories.

  3. Test Strategy

    Coverage chosen, test cases drafted.

    We define test depth per area: what a QA-level check can establish, what needs a specialist, and what is out of scope.

  4. Execute

    Manual and automated testing runs.

    Manual and scripted checks run against agreed environments, with explicit rules on data, rate limits and what must not be touched.

  5. AI-Assisted Quality Engineering

    Failures classified, release risk scored.

    AI helps draft test cases for known weakness classes and triage scanner output so reviewers see the likely real findings first.

  6. Human Verification

    A QA engineer checks every flagged result.

    A security-aware QA engineer reproduces every finding, assesses exploitability and impact, and removes false positives before anything reaches your team.

  7. Report & Improve

    The verified quality signal, then better coverage.

    Findings are reported with evidence, severity, a suggested fix direction and retest status, and the scope and limits of the test are stated openly.

See the full methodology →
UPDOER / SERVICEAI assistsHuman validates

Security testing: access, inputs and configuration

  1. 01

    Where it breaks

    Cross-user data accessOpen configurationTrusted input
  2. 02

    Test workflow

    RolesSessionsInputsConfig
  3. 03

    AI assists

    Draft abuse casesTriage scanner hitsTry role combinations
  4. 04

    Humans decide

    Reproduce each findingJudge real impact
  5. 05

    Release signal

    Findings with evidenceScope statedSpecialist if needed

Illustrative workflow. Not a client result or a measured outcome.

Security coverage matrix

A dash means no AI step is described for that area.

  • Weakness area: Access control

    WHAT WE CHECK
    Role, tenant and object-level access
    AI ASSISTANCE
    Suggests combinations to try
    HUMAN JUDGMENT
    Designs cross-user attempts and reads results
    TYPICAL DEPTH AT QA SCOPE
    In scope, thorough
  • Weakness area: Authentication

    WHAT WE CHECK
    Login, reset, lockout, token lifecycle
    AI ASSISTANCE
    Drafts negative cases
    HUMAN JUDGMENT
    Assesses bypass and abuse paths
    TYPICAL DEPTH AT QA SCOPE
    In scope
  • Weakness area: Input handling

    WHAT WE CHECK
    Injection classes at web and API entry points
    AI ASSISTANCE
    Drafts input variants
    HUMAN JUDGMENT
    Confirms exploitability
    TYPICAL DEPTH AT QA SCOPE
    In scope for common classes
  • Weakness area: Misconfiguration

    WHAT WE CHECK
    Headers, exposed endpoints, defaults, environment drift
    AI ASSISTANCE
    —
    HUMAN JUDGMENT
    Judges real exposure
    TYPICAL DEPTH AT QA SCOPE
    In scope
  • Weakness area: AI feature risks

    WHAT WE CHECK
    Prompt injection, data disclosure, output handling
    AI ASSISTANCE
    —
    HUMAN JUDGMENT
    Evaluates harm and policy fit
    TYPICAL DEPTH AT QA SCOPE
    In scope for application-level checks
  • Weakness area: Deep exploitation

    WHAT WE CHECK
    Chained attacks, custom exploits, red teaming
    AI ASSISTANCE
    Not applicable
    HUMAN JUDGMENT
    Specialist penetration tester
    TYPICAL DEPTH AT QA SCOPE
    Out of QA scope; recommend a specialist

Where AI helps

  • Drafting access-control and input-handling test cases for the weakness classes relevant to the application.
  • Triaging automated scanner output by grouping duplicates and highlighting findings most likely to be real.
  • Suggesting role and tenant combinations to try when permissions are complex.
  • Summarising findings into a clear report structure for a person to verify and edit.

How we use AI: AI can accelerate test design, analysis and repetitive QA work, but important outputs remain subject to human review and validation. It informs the release decision; it does not make it.

Where humans matter

  • Reproducing each finding and deciding whether it is exploitable in context.
  • Thinking like a misuser: chaining small issues, abusing legitimate features, and trying cross-tenant access.
  • Judging business impact and the right remediation order.
  • Deciding when a question exceeds QA scope and needs a specialist penetration test.
  • Handling findings responsibly, including how sensitive details are shared and stored.

Tools we build with

Automation
SeleniumPlaywrightAppiumKatalonTestComplete
API & Performance
PostmanSoapUISwaggerApache JMeter
CI/CD & Reporting
JenkinsTeamCityAllureMaven

Frequently asked questions

Are you a penetration testing firm?

Our security work is QA-level: systematic checks for access control, authentication, input handling and configuration. When a system needs deeper adversarial testing, we say so and recommend a specialist rather than stretch our scope.

Will you certify that our product is secure?

No. A test shows which weaknesses were found within a stated scope. It cannot show that none exist, and we do not issue statements of that kind.

Can your report support a customer security questionnaire?

A findings report with scope, method and retest evidence is useful input. Whether it satisfies a particular customer or auditor is for them to decide.

Ready to see how it runs on your product?