Posts tagged with "Red Teaming"

Single-turn red teaming has a 19.5% success rate. Multi-turn attacks hit 92.7%. Here's the data behind why multi-turn red teaming works and how we automated it for voice AI.

Learn how Cekura's red-teaming framework tests chat and voice AI agents for bias, toxicity, and jailbreak vulnerabilities before they reach production.

Discover red teaming strategies that expose vulnerabilities in your Voice AI and Chat AI agents before they scale. Learn how adversarial AI testing helps create safer, more LLM agents

AI red teaming in 2026: seven attack methods, the tools that run them, the OWASP and EU AI Act duties behind them, and a 1-to-5 scoring rubric to copy.

Chatbot automation testing tools decide which failures reach your users. See which caught the planted regression and red-team attacks, and which didn't.

How to test voice AI agents using 7 methods, from scripted calls to red teaming, plus what each catches, what it misses, and the right order to run them.

We tested 7 AI voice agent testing tools across CI/CD regression, production monitoring, and telephony-layer failures. See which ones actually passed.

Best practices for AI voice agent testing, with honest tradeoffs: 8 rules that catch the failures real callers trigger before they reach production.

Learn how to test your voice agent after building it, across six stages from component checks to production monitoring, with a clear pass bar for each.

Voice bot testing for fintech is the practice of simulating and scoring financial-services voice AI calls against compliance, PII redaction, and no-advice guardrails before and after launch. Here is how Cekura does it.