BenchBot Blog — Poznatky o testování AI

Chatbot testing validates that a chatbot behaves correctly, safely and reliably before and after launch. This guide explains the types of chatbot testing, how it works, and how to automate it across every channel.

Voicebot testing validates that a voice AI agent behaves correctly, safely and reliably — covering speech recognition, dialogue flows, accuracy and security. Here's how voicebot testing works and how to automate it.

Chatbot regression testing re-runs your test suites after a change to confirm that previously working conversations still work. Learn why chatbots regress, how regression testing works, and how to automate it in CI/CD.

A practical, step-by-step guide to testing a chatbot: connect it, author test cases, run functional, NLU and regression checks, add security and GDPR tests, and schedule continuous runs.

A comprehensive guide to testing conversational AI — chatbots and voicebots — across every layer: functional flows, NLU, regression, performance, security and compliance. What to test, how, and how to make it continuous.

A practical guide to the OWASP Top 10 for LLM Applications and how to test for it — from prompt injection and sensitive-information disclosure to insecure output handling — with a defensive, authorized testing approach.

A practical guide to testing conversational AI for EU AI Act alignment and GDPR compliance — what the obligations mean for chatbots, how to test against GDPR Articles 15-20, and how to demonstrate compliance instead of just attesting it.

AI red teaming is the practice of attacking your own chatbot the way an adversary would, to find vulnerabilities before they reach production. Here's what it covers and how to automate it.

Prompt injection is an attack where crafted input overrides a chatbot's instructions. Learn how it works, why it matters, and how to test your bot for it.

PII leakage is when a chatbot exposes personal data it should protect. Learn what causes it, why it's a GDPR risk, and how to test your bot for it.

NLU testing validates that a chatbot recognises the user's intent and entities accurately. Learn what it covers and how to test recognition with confidence thresholds.

A practical guide to testing a chatbot for GDPR compliance — mapping tests to Articles 15-20, detecting PII leakage, and producing audit-ready evidence.

A practical guide to choosing a chatbot testing platform in 2026 — the categories of tools, what to look for, and where each fits, so you can match the right tool to your needs.

Looking for a Botium alternative? Keep the connector breadth you know and add modern AI security, GDPR compliance and managed hosting. Here's how BenchBot relates to the Botium ecosystem.

A practical guide to automating chatbot regression testing in your CI/CD pipeline so a change never silently breaks a flow — baseline, re-run, gate the release.

A step-by-step guide to testing a voicebot or voice AI agent end to end — connect via voice connectors, drive TTS/STT, run functional, security and GDPR checks, and schedule continuous runs.

As AI systems become more sophisticated, traditional testing approaches fail to catch the unique risks and behaviors that emerge in conversational AI. Learn about the critical gaps and how to address them.

Navigate the complex landscape of GDPR compliance for AI systems. This comprehensive guide covers data collection, processing, user consent, and automated compliance testing.

AI bias can have serious real-world consequences. Learn about the latest techniques for detecting, measuring, and mitigating bias in conversational AI systems.

Real-world case studies of AI system failures and the testing strategies that could have prevented them. Essential reading for anyone deploying AI at scale.

As AI capabilities expand, so do the challenges of ensuring they're safe and reliable. Explore the emerging trends in AI testing and what they mean for your organization.

Learn about the growing threat of prompt injection attacks and how to build robust defenses to protect your conversational AI systems from malicious manipulation.