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PARTLY

As of 13 August 2026, AI can only partly scan your business website for vulnerabilities.

This still needs a person who signs their name to it.

Can you do it?

15 minutesto a draft.

1 hourto something you’d act on.

Cost, all in£0

Skill neededpower-user

Who has to check ita professional

What the alternative costsThe supplied tool data lists no price for a comparable security-scanning alternative.

If this goes wrong, an intrusive test disrupts the website or a false sense of safety leaves a real vulnerability exposed.

What to actually do

  1. Hand it to a person

    The route this page recommends

    Someone with a licence or accountable authority has to sign this before it counts.

  2. Use a tool built for this

    Second choice
  3. Do it yourself

    The distant third

    A chat interface, power-user skill, and roughly 1 hour until you can act on the result.

    How to actually do it

    1. Open the website owner's records and write down the exact domains, subdomains, IP addresses, test window and exclusions covered by your written authorisation.
    2. Gather the website's technology inventory, dependency versions, hosting details, security headers, authentication scope and any customer-data constraints without pasting secrets, passwords or live personal data into the chatbot.
    3. Run an authorised, non-destructive vulnerability scan using a security tool appropriate to your hosting and export the results with timestamps, affected URLs and request evidence.
    4. Paste the scope, constraints and exported results into the prompt, then ask the AI to separate confirmed findings from assumptions and rank remediation work.
    5. For each high-priority finding, reproduce only the safe validation steps against a test account or staging copy and compare the result with the evidence quoted in the AI report.
    6. Send the report and unresolved findings to a qualified penetration tester or security professional, then record which findings they confirm, reject or require further testing.
    7. Apply fixes in staging, rerun the authorised checks, and keep the scan evidence, change record and professional review together as the finished assessment.

    Prompt

    Act as a defensive web-security analyst. I have written authorisation to assess this business website: [WEBSITE URL]. Do not attempt to access, scan or exploit any system, endpoint or account yourself. Work only from the authorised scope and the evidence I paste below.
    
    Scope and constraints:
    - Authorised domains and IP addresses: [SCOPE]
    - Excluded systems, paths and actions: [EXCLUSIONS]
    - Test window and rate limits: [WINDOW AND LIMITS]
    - Technology or hosting details I know: [DETAILS]
    - Compliance or customer-data constraints: [CONSTRAINTS]
    
    Evidence:
    [PASTE SCANNER OUTPUT, HTTP HEADERS, CONFIGURATION, DEPENDENCY LISTS OR SOURCE CODE HERE]
    
    For each finding, provide:
    1. A short title and severity marked as confirmed, likely or unconfirmed.
    2. The exact evidence supporting it, quoting only the material I supplied.
    3. The affected URL, component or code location.
    4. Why it matters in plain English.
    5. A safe way to reproduce or validate it without destructive testing, account access or data extraction.
    6. A prioritised remediation plan suitable for a UK business.
    7. What a qualified security professional must verify before closure.
    
    Separate observations from assumptions. Do not invent versions, vulnerabilities, CVE identifiers, exploitability, compliance duties or affected data. Flag missing evidence and tell me what authorised evidence to collect next. Do not claim the website is secure merely because no issue appears in the supplied evidence.

    Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

What it gets wrong

  • A public URL does not reveal authenticated pages, server settings, deployment secrets or vulnerabilities in connected services.
  • AI cannot grant permission to test a system and cannot make an intrusive scan lawful or safe.
  • It turns ambiguous scanner output into confident-sounding conclusions, including false positives and missed exploit paths.
  • It cannot independently prove that a vulnerability is fixed or that an apparently clean scan means the website is secure.
  • The business remains accountable for disruption, exposed data and missed vulnerabilities.

What caps this at PARTLY: verification cost, legal accountability and judgement under ambiguity.

How we scored this

Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.

AxisScore (0–2)
Output2
Inputs1
Verification1
Liability1
Effort delta1
Total6 / 10

FAQ

Can ChatGPT scan my website for vulnerabilities?
It can analyse scan output, code and configuration, but a chat interface should not be treated as a live vulnerability scanner. Use it to interpret authorised evidence and draft remediation, then have a security professional validate important findings.
Is it legal to scan a website for vulnerabilities?
Only test systems you own or have explicit permission to assess, within the agreed scope and limits. Unauthorised probing can create legal and operational consequences, so serious assessments need a qualified penetration tester or security professional; this is not professional advice.
Can AI find all the vulnerabilities on my business website?
No. AI may miss issues in authenticated workflows, business logic, infrastructure and connected services, and it may report findings that are not real. A clean AI-assisted report is not proof that the website is secure.
What should I do if an AI scan finds a vulnerability?
Preserve the evidence, avoid copying secrets or customer data into the chatbot, and confirm the finding in a controlled environment. Have a qualified security professional assess serious findings before you change a live system or tell customers that the issue is resolved.

Nearby answers

Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.

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