Agnostics vs happy-path QA

Happy-path QA proves the product works when users behave. Adversarial scans ask what happens when they do not.

Happy-path QA

For: Teams validating intended flows before release.

Does well

• Confirms core journeys work.
• Fits existing QA habits.
• Good for regression on known flows.

Breaks down

• Misses injection, leakage, and action abuse.
• Scripts lag behind creative user input.
• No structured gate from test output to ship decision.

Adversarial release testing

For: Teams who treat AI releases as high-stakes behavior changes.

Does well

• Targets failure modes QA scripts skip.
• Produces findings ready for engineering.
• Feeds Release Gate with policy-aware recommendations.

Breaks down

• Adds setup beyond checkbox QA.
• Needs interpretation, not blind automation.

What Agnostics adds

• Attack packs aligned to target type.
• Evidence-safe findings for sharing.

Honest limitations

• Complements QA; does not replace functional test suites.

When not to choose Agnostics

• Non-AI features with traditional test coverage only.