# Choosing safer LLMs: From LLM benchmarks to your production agents 🚀

July 21, 2026 | 5PM CEST

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⭐️ New launch: Protect your AI agents with context-aware guardrails.

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# Resources

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2. [Blog](/content/knowledge-categories/blog/index.html)
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4. [White Papers](/content/knowledge-categories/white-papers/index.html)

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**How BPCE secured its customer-facing banking chatbot**  
BPCE, one of France's largest banking groups, was launching a customer-facing GenAI assistant. Giskard's red teaming probed the chatbot before launch, detecting security vulnerabilities like prompt injections during the build phase, while hundreds of automated functional tests validated answer quality with business experts. BPCE now runs three AI assistants through Giskard's continuous testing and red teaming.  
[View post](/content/knowledge/how-bpce-secured-its-customer-facing-banking-chatbot/index.html)

**L'Oréal evaluates their AI vision models with Giskard to improve customer experience**  
L'Oréal partnered with Giskard to enhance their facial landmark detection models, crucial for applications like face reconstruction and emotion recognition. Giskard's AI testing platform enabled L'Oréal to evaluate multiple models under diverse conditions, ensuring reliable and inclusive predictions across different user demographics. This collaboration improved the accuracy and robustness of L'Oréal's digital services, while proactively addressing potential biases.  
[View post](/content/knowledge/loreal-ai-vision-models/index.html)

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