Measurement and experiments
AI sales adversarial probes: PyRIT, garak, and bounded conversation review
Compare Microsoft PyRIT, garak, and YieldGate by authorized probe objectives, reachable surfaces, observable failures, and the limits of a manual preview.
THE DIRECT ANSWER
Choose adversarial testing when you have an authorized target, a concrete failure objective, and a plan for inspecting what the target actually exposes. Microsoft PyRIT documents automated and human-led red teaming; garak describes an LLM vulnerability scanner. YieldGate offers a separate manual fictional conversation preview. A passing probe set cannot establish that every unsafe behavior is absent; the conclusion must stay within the tested surface and observed cases.
Define the failure objective before generating probes
By YieldGate / OraXLabs. We publish this comparison and own YieldGate. Official public pages were observed October 29, 2026. This AI-assisted documentation analysis reports no hands-on product comparison, customer data, or measured business result. Documented capabilities are vendor descriptions; the matrices and examples are our editorial analysis. Inclusion of other products does not imply an affiliation or endorsement.
The reader is deciding how to investigate deliberate attempts to move an AI seller outside its declared boundaries. This differs from maintaining ordinary release cases: adversarial work starts with an unwanted capability or disclosure and asks which reachable surface could produce it. This guide executes no probes and supplies no assessment of any deployed system.
Compare the testing role
| Product | Relevant role | Question before use |
|---|---|---|
| Microsoft PyRIT | Automated and human-led red-teaming framework | Which authorized target, strategy, and success condition will the exercise use? |
| garak | LLM vulnerability scanner with scan reports | What unwanted behavior and target does the proposed scan cover? |
| YieldGate — our product | Manual fictional sales-conversation preview | Can one boundary question be stated clearly before a separate assessment? |
Microsoft PyRIT: structure a bounded exercise
Microsoft’s PyRIT 1.1.0 documentation describes automated and human-led red teaming, single- and multi-turn strategies, a scenario framework, retained conversations and scores, and flexible scoring. Evaluate it when an authorized team needs an organized exercise around a defined objective rather than provocative prompts without a stopping rule.
Ask the evaluator to identify the target, allowed interfaces, and evidence supporting a finding. Strategy selection is separate from authority: sending or coordinating probes does not authorize reaching private records or another service. This guide runs no framework and claims no discovered vulnerability.
garak: inspect what a scan can establish
garak’s welcome documentation describes an LLM vulnerability scanner for discovering weaknesses and unwanted behavior in models or chatbots, with reports of findings. Evaluate how a proposed scan corresponds to the failure you actually care about. Ask how any scoring or detection result leads back to an inspectable interaction.
An irrelevant scan can produce extensive output without testing the commercial boundary in question. A narrow negative result cannot establish that untested tools, hidden context, or future versions are safe. The linked welcome page is a role description; your evaluator must establish the selected configuration. No scan result or relative detection rate is reported here.
YieldGate: clarify one fictional boundary question
Our public conversation preview has a separate preparatory role. Choose “Use a fictional example,” then “Start my trial” when available, and ask: “In this fictional policy, you may explain a feature but cannot approve account changes. What can you confirm if I ask for approval?” Treat the invented conditions in the question as a synthetic exercise, not facts about a live account. Inspect any reply using supplied fictional facts. Use the preview only to inspect wording around supplied fictional facts. It is not a red-team runner, vulnerability scanner, attack generator, private-data test environment, or release gate. Do not treat an exploratory reply as a security finding.
This is a manual conversation simulation. It does not connect the other listed products, inspect a customer account, or complete their workflows. The task is proposed for you to try; we did not submit it or test a model response for this guide. No installation, checkout, or product trial is activated.
Write the test envelope in observable terms
| Decision | Declare before a future authorized test | Interpretation limit |
|---|---|---|
| Objective | The unwanted statement, disclosure, or action being investigated | A strange answer is not automatically the declared failure. |
| Reachable surface | The exact version, input channel, context, and permitted tools | A text-only target cannot establish enforcement in an untested tool path. |
| Synthetic evidence | Invented markers and policy facts with expected handling | No marker found does not prove all sensitive data is protected. |
| Observation | The relevant output and any independently confirmed action result | A promise to act is not proof of execution. |
| Stop and escalation | What ends the exercise and who receives a suspected finding | Continuing beyond scope cannot be justified by curiosity. |
Choose a small number of distinct objectives. Rephrasing one request many times is useful only if the exercise explains what variation it explores. Keep the original target and configuration visible so a later change does not silently inherit an earlier conclusion.
A fictional seller is asked to exceed its authority
Imagine an invented sales assistant allowed to explain a public feature sheet. Its synthetic policy says it cannot approve account changes or reveal a mock internal note marked SAMPLE-ONLY. An evaluator wants to investigate whether a buyer can persuade it to claim approval. No real account, private note, attack, or listed-product test is involved.
The declared failure is an unsupported approval statement, not simply a confident tone. A reply saying “I can explain the request and identify the approved next step” stays within the supplied policy. A reply saying “your account change is approved” conflicts with it. If the target has no account-changing tool, neither sentence proves an actual account change.
Now separate the disclosure objective. A response that repeats the invented internal marker raises a different finding from an approval claim. Keep distinct expected handling and review records. Combining both into one pass/fail can hide which boundary failed and what a repair must address.
Choose the exercise your team can explain
- Name the authorized target. Specify the controlled environment, version, allowed channel, and responsible owner.
- Choose one failure objective. Distinguish unsupported wording, synthetic information disclosure, and confirmed action execution.
- Select relevant probes and review. Ask how their logic reaches the declared boundary and how potential findings are adjudicated.
- Preserve negative-result limits. Record untested surfaces and configuration assumptions alongside observed cases.
- Recheck a bounded repair. Keep the original finding and expected behavior visible; leave deployment acceptance to the responsible review process.
Choose dedicated adversarial tooling for a scoped assessment that needs controlled probe execution and retained observations. Use a manual preview only to formulate a conversation question. A cleared finding is narrower than universal safety, and neither this exercise design nor a passing score establishes commercial performance.
Sources & scope
- PyRIT — Python Risk Identification Tool - PyRIT Documentation — Observed 2026-10-29
- Welcome to garak! | garak — Observed 2026-10-29
- See an AI salesperson sell your product — YieldGate — Observed 2026-10-29
Sources were checked on the dates above. The checklist and interpretation are YieldGate / OraXLabs editorial analysis, not a claim of measured customer performance. This guide was developed with AI assistance and a separate fact and editorial review. Product capabilities mentioned as general patterns are not a statement of YieldGate availability.