Test the application your users reach
Exercise supported chatbots and agents through their browser interface or connected API, including relevant retrieval and tool behavior.
AI red teaming
Test how your AI holds up under real attacks
ARTEMIS challenges applications and agents through supported browser and API workflows, exposing prompt injection, data leakage, and unsafe tool use before they reach users.
The challenge
A model benchmark cannot test your full application
Attackers interact with prompts, retrieved content, connected tools, and the permissions around them. A model may pass an evaluation while the application still reveals data or takes an unintended action.
The Repello approach
ARTEMIS probes the workflow an attacker can reach, pursues defined attack objectives, and gives teams the evidence behind successful attempts. Inventory can add context about supported data and tool connections before testing.
How Repello helps
Probe beyond a single prompt
Challenge multi-turn behavior, untrusted content, data boundaries, and tool use with attack objectives that reflect your workflow.
See the path behind each finding
Review the attack conversation, resulting behavior, and mitigation guidance so developers can address the underlying weakness.
Retest as the application changes
Revisit relevant attack paths when prompts, models, retrieval, permissions, or tools change.
What Repello gives your team
Turn attack attempts into fixes you can verify
Give application and security teams more than a pass or fail. Show what was exploited and what needs to change.
Prioritize exploitable weaknesses
- Test prohibited disclosure, prompt injection, and unsafe tool use in the application context.
- See the sequence that led to a successful attack, not just the final response.
- Focus remediation on demonstrated paths to impact.
Give every fix a follow-up test
- Share attack evidence and mitigation guidance with the application owner.
- Change the relevant application control and rerun the attack objective.
- Repeat the assessment when the workflow changes materially.
Frequently asked questions
What to know before deployment.
What kinds of AI applications can ARTEMIS test?
ARTEMIS tests supported chatbots, agents, and retrieval-based applications through a browser interface or connected API. The test can focus on the prompts, data, and tool actions exposed by that workflow.
Can ARTEMIS test through our application's user interface?
Yes. Browser Mode interacts with a supported application as a user would, including multi-turn conversations and supported uploads. API testing is available when an endpoint is the better way to reach the behavior you want to assess.
Can we test for data leaks across user accounts?
Yes. Set up test identities with different permissions and define unauthorized disclosure as an attack objective. ARTEMIS tests what the application reveals; your application and data sources still need to enforce access control.
What do we get when ARTEMIS finds a weakness?
The finding includes the attack path, evidence of the observed behavior, and mitigation guidance. Developers can use that evidence to fix the relevant control and rerun the test to check the result.
When should we repeat a red-team test?
Retest after a fix and when you materially change a prompt, model, retrieval source, tool, or permission. Repeating relevant attack objectives helps you see whether the original weakness remains or a new path has appeared.
Is red teaming the same as runtime protection?
No. ARTEMIS tests for weaknesses; it does not block live interactions. ARGUS can enforce configured guard policies in connected production workflows, alongside the application's own authorization and security controls.
See Repello in action
Get a personalized Repello demo.
Bring an application and a behavior it must never allow. See how ARTEMIS tests that boundary and gives your team evidence to act on.