Breaking AI on Purpose: Why QA Needs AI Red Teaming

AI systems are only as reliable as the testing behind them. Red teaming brings a fresh, proactive approach to testing by helping you spot risks early.

, Senior Solutions Manager, AI Testing, Testlio

In this insightful article, Testlio’s Senior Manager of AI Testing Solutions, Hemraj Bedassee, offers a thoughtful look at why QA for AI needs to go deeper than traditional validation. Red teaming isn’t about breaking systems for the sake of it—it’s about asking the tough questions your model won’t answer on its own. What could go wrong? Who might it impact? It’s a shift from checking the code to challenging the outcomes. If you’re building AI, this piece is a must-read.

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