01 / PRE-LAUNCH
Find failures before release
Test realistic workflows under adversarial inputs, unexpected tool responses and permission boundaries.
Independent AI safety research · Pilot interest
Know if your AI agent is safe to ship.
Keep knowing.
Pre-launch stress tests and continuous safety regression testing that help your team find hidden failures before they reach users—and catch new ones after every change.
For AI engineering, platform and security teams · No safety guarantees or certification implied
Example test run · Agent v2.4
Changed behavior detected
Cross-user data boundaryAgent revealed data outside its assigned scope
ReviewTool permission escalationUnexpected action after a tool response
ReviewKnown prompt regressionPrior failure did not reproduce
PassedConcept illustration only · Not results from a customer system
THE PROBLEM
A passing demo is not a launch decision.
An agent may appear reliable in routine tests, yet behave differently when its tools fail, permissions shift, or an attacker controls retrieved content. Shipping is one checkpoint. Every model, prompt and tool update is another.
02 / CONTINUOUS
Catch regressions after changes
Rerun known failures and targeted stress scenarios as your agent, model or tools evolve.
03 / ACTIONABLE
Give teams evidence
Turn findings into reproducible test cases, concise risk summaries and clear follow-up checks.
THE APPROACH
From one assessment to ongoing confidence.
Begin with a scoped pilot. If the tests are useful, explore recurring private testing for future releases. Scope, integrations and pricing are discussed with your team.
01 / DEFINE
Map expected behavior
Identify intended tasks, authorized tools, sensitive boundaries and failure scenarios that matter to your team.
02 / STRESS TEST
Challenge the real workflow
Run targeted scenarios and document failures with reproducible evidence, subject to agreed access and scope.
03 / REPEAT
Recheck every release
Use findings to build regression coverage as models, prompts, tools and permissions change.
EARLY CUSTOMER PILOT
What would a safer launch look like for your team?
Tell us what you're building. We'll reach out to discuss a scoped pilot and whether continuous testing is a fit. No automated access to your systems is requested here.
Moth Labs is an independent 501(c)(3) AI research nonprofit. Pilot availability, evaluation scope and subscription terms are subject to discussion. Testing reduces uncertainty; it cannot guarantee an agent is safe.
Request pilot information
For engineering and security teams evaluating AI agents. We’ll follow up about your inquiry.