Plan test coverage
Describe the application, roles and agreed boundaries. Request a coverage matrix organized around authentication, authorization, session handling and other relevant WSTG areas.
AI penetration testing / evidence to report
AI for a more structured pentest.
A penetration test produces scope documents, tool output and findings that need careful interpretation. Bring that material to the LLMsRelay API to draft coverage plans, review evidence and prepare a report your team can verify.
Sign in or create an account. Continue directly to the Uncensored wallet.
Put AI to work on the task
From agreed scope to a traceable finding.
Triage collected output
Feed in sanitized results from tools you have already run. Ask for likely duplicates, unanswered questions and observations that still need manual confirmation.
Draft the deliverable
Turn verified findings into technical and executive summaries. Keep evidence, impact, remediation and retest criteria connected to the same finding.
A workflow you can verify
- 1
Define scope and constraints
List allowed assets, accounts, testing windows and excluded actions. Ask for a reviewable plan, with gaps explicitly marked.
- 2
Collect and label evidence
Run your tools independently. Supply excerpts with stable IDs, timestamps and test conditions so the draft can cite them.
- 3
Review, report and retest
Confirm each finding manually, edit the report and use the proposed retest criteria to check the fix in the authorized environment.
Example prompt
Using this agreed test scope and verified findings, draft a pentest report. For each finding include evidence IDs, affected component, impact, remediation and retest criteria. Mark coverage gaps and unconfirmed claims separately.
Ask for a useful result
- A scope-to-test coverage matrix
- Findings tied to the evidence you supplied
- A remediation and retest checklist
Turn verified findings into a useful report.
Use your own testing tools and add AI assistance where planning, interpretation and writing take time.
One wallet. Usage you control.
One wallet. Usage you control.
Choose a prepaid pack in your dashboard. The $500 and $1,000 packs include extra usage balance.
You pay
$45
Usage balance
$45
You pay
$100
Usage balance
$100
You pay+20% Bonus
$500
Usage balance
$600
You pay+30% Bonus
$1000
Usage balance
$1300
| Model | Context | Input | Output |
|---|---|---|---|
| glm-5-3-uncensored | 262,144 | $4 | $12 |
| glm-5-3-uncensored-1m | 1,000,000 | $12 | $20 |
Rates depend on the selected model. Input, output and cached tokens are billed separately; a dollar balance is not a fixed number of tokens.
Connect your own workflow
- 1Top up the Uncensored wallet in your existing LLMsRelay account.
- 2Create an Uncensored API key in the dashboard.
- 3Set https://api.llmsrelay.com/v1 in your OpenAI-compatible client and choose a public model ID.
Before you connect
Is this an automatic pentesting platform?
No. LLMsRelay supplies the model API. It does not perform discovery, execute tests or validate a vulnerability by itself. Your testing client and manual verification remain part of the workflow.
Can it replace a scanner or WSTG?
Use the model alongside your tools and a testing methodology. OWASP WSTG is a reference for coverage; model-generated plans need review against the actual application and scope.
How should I handle confidential evidence?
Send only material you are authorized to share. Redact credentials and unnecessary personal data. Keep original evidence in your own system; do not infer special retention guarantees from this page.
Explore another security workflow
Make the next pentest easier to review.
Get API access for coverage planning, evidence interpretation and report drafting, with costs visible in your dashboard.
Top up your AI balanceLLMsRelay provides model API access for authorized security research. Your tools run the tests; you verify the model's analysis.