Solutions

You provide the target: a public or authenticated chat URL, or an API endpoint that accepts user input and returns model output. We run a structured set of checks and report what we find.

• Prompt injection — Direct and indirect injection payloads to override instructions or extract system prompts
• Jailbreaking & refusal bypass — Attempts to circumvent safety refusals or role boundaries
• Data leakage — Whether system prompts, internal context, or PII can be elicited in responses
• Output consistency — Whether the app behaves predictably under adversarial input

Results are delivered as a report: which payloads succeeded, sample responses, and remediation guidance. You can run the scan on demand from the dashboard or trigger it from CI for regression. Scope is limited to the endpoints and flows you configure (e.g. one chat interface or one API).

Beyond automated payloads, we perform a hands-on assessment: crafting custom prompts, chaining behaviors, testing multi-turn and context-window edge cases, and exploring business-logic abuse (e.g. prompt-based privilege escalation or data exfiltration).

• Custom attack design — Tailored to your use case, model, and guardrails
• Multi-turn and context — Testing conversation memory, tool use, and long-context behavior
• Integration and data flow — How user input reaches the model and how output is filtered or used downstream
• Prioritized report — Findings with severity, proof-of-concept prompts, and remediation steps

Ideal for pre-launch of an AI feature, compliance or procurement requirements, or periodic deep dives. Scope and depth are agreed up front (e.g. single chat product vs. multiple models or APIs).