Service
Pressure-test your bot against prompt injection, role-play social engineering, and policy bypass attempts with repeatable adversarial campaigns.
Effective jailbreak testing is not a folder of famous attack prompts. It is a structured campaign that mirrors how real attackers manipulate an AI workflow: they exploit urgency, authority, ambiguity, and the seams between model output and tool execution. For call center agents, that often means trying to bypass verification, trigger unauthorized account actions, or extract internal process details.
Voice interactions add pressure the text channel does not. Attackers can interrupt, restate, confuse, or emotionally escalate while the system is handling latency and ASR noise. A secure voice-agent program therefore needs adversarial suites built for conversational flow, not just prompt strings pasted into a playground.
GraiBot helps teams convert social-engineering patterns, policy edge cases, and incident evidence into repeatable scenarios. The output is not only a list of failed chats. It is a scored evidence set you can feed into release decisions, remediation work, and trend reporting over time. That connects directly to regression monitoring and the broader adversarial library approach.
Simulate direct and indirect prompt injection, social-engineering role-play, verification bypass attempts, and risky tool invocation requests.
Critical defects such as sensitive-data leakage or unauthorized account actions should usually block releases, while lower-severity drift can trigger warning thresholds.
