Guides to testing AI chatbots and voice agents

Practical guides to testing customer-facing AI chatbots and voice agents for security, customer journeys and language, written by the AltaSec founders. Each one gives you checks you can run yourself, mapped to public standards where they exist, and tells you what to ask of anyone who tests for you.

Security

• LLM security testing checklist: every check to run on an LLM chatbot or voice agent, mapped to the OWASP Top 10 for LLM Applications 2025 and MITRE ATLAS.
• Prompt injection vs jailbreak: one breaks your rules, the other the model's safety training; definitions, examples and which defence helps against which.
• How to red team a customer support chatbot: eight steps from written rules to a go / no-go verdict, with the attacks to run against each support journey.

Launch and compliance

• AI chatbot go-live checklist: what to test before your chatbot or voice agent talks to its first customer: journeys, languages, data and security.
• EU AI Act Article 50 for chatbots: what the transparency obligation means for a customer-facing chatbot or voice agent, and how to check you meet it.

Services

• AI agent testing: how AltaSec tests chatbots and voice agents for security, customer journeys and language, with a verdict per journey, language and channel.
• Prompt injection testing: injection, jailbreak and data-extraction attempts against your chatbot, with every reply checked for leaked data.
• AI red teaming: an EU-based team attacking your chatbot the way customers and attackers would.
• Voice agent testing: whether your voice agent hears, understands and speaks each language right, measured on recorded calls.
• Methodology: how conversations are tested and judged, and how the verdict is reached.