AI Chatbots & Copilots
Customer- and employee-facing chat surfaces are the most common entry point into an organization's AI systems — and the most directly exposed to adversarial input.
What can go wrong
Prompt injection
User input overrides system instructions, extracting the system prompt or steering the model outside its intended role.
Data leakage through retrieval
A chatbot backed by a knowledge base or CRM discloses records outside the requesting user's own scope.
Brand and liability risk
The agent makes pricing promises, policy commitments, or statements it was never authorized to make.
Context poisoning
Instructions planted earlier in a multi-turn conversation quietly change the agent's behavior later in the same session.
Illustrative attack path
This is a representative validation target, not a claim that every customer system exposes the same chain.
What Oxyne tests
How it works
Connect the chatbot's widget, API, or an authenticated session. Oxyne runs the attack-template library against it, scores every transcript with a separate judge against explicit success criteria, and — if the chatbot has backend or API access — correlates related findings with your web assessments.
Scoped interface
Define supported connection paths, authorized actions, credentials, and prohibited behavior before testing.
Evidence produced
Receive the supporting transcript, explicit success criteria, judge reasoning, validation level, and remediation context.
Applicable workflows
Use recurring AI Security Testing for baseline coverage and a separately scoped AI Red Teaming campaign for deeper analysis.
See Oxyne on your own systems.
Book a 30-minute walkthrough — we'll scope a real assessment for your AI and web surfaces.