✨ Open for your questions around #AIQuality, Security, and Compliance 👇 Our Discord community is a hub for professionals working on reliable, secure, and ethical AI. We discuss real-world challenges in AI quality, security, and compliance, sharing methodologies and how to address these issues effectively. Whether you're a data scientist, ML engineer, AI ethicist, or involved in AI governance, your insights and questions are valuable here 🙌 Join here: https://gisk.ar/4fQO9j1 #AISecurity #AICompliance #Discord #community
Giskard
Développement de logiciels
The Testing platform for AI models
À propos
We provide a holistic testing platform for AI models, for enterprise teams to control all risks related to AI. We help customers save time by automating the evaluation & compliance process, and save money by avoiding costly AI incidents. We’re backed by founders of Hugging Face and Mistral AI ; and our solution is trusted by major enterprises including L’Oréal, Michelin and AXA. Need to control AI risks? Contact us today at giskard.ai/contact!
- Site web
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https://www.giskard.ai/
Lien externe pour Giskard
- Secteur
- Développement de logiciels
- Taille de l’entreprise
- 11-50 employés
- Siège social
- Paris
- Type
- Société civile/Société commerciale/Autres types de sociétés
- Fondée en
- 2021
- Domaines
- AI, ML, Quality, Risk et LLM
Produits
Giskard | Testing platform for AI models
Logiciel de système de gestion de la qualité (QMS)
Protect your company against biases, performance issues & security vulnerabilities in AI models.
Lieux
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Principal
Paris, FR
Employés chez Giskard
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Simon Dawlat
CEO at Batch
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Aurélien Barrière
💰 Financez vos projets innovants💡 On vous conseille pour débloquer votre Crédit Impôt Recherche et + 💪 +de 1000 clients 🎖️ Experts en financement…
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Nick Hernandez
CEO, raised $200m to make corporate learning collaborative
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Alex Combessie 🐢
Co-founder & CEO @ Giskard | Control AI Risks ⛑️
Nouvelles
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✨ Understanding #AI & #LLMs key concepts 📚 We've compiled a comprehensive glossary of AI and LLM terms. It covers everything from LLM Agents to LLMOps, providing clear definitions for the concepts we work with daily. Find it here: https://gisk.ar/4fTeoVO It's been designed to be a practical reference for every Data scientist and ML engineer! #MachineLearning #DataScience
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We're #hiring a new AI Security / Red-Teaming Consultant in Paris 🇫🇷 Apply today or share this post with your network!
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💭 Understanding the threats of LLM #jailbreaking 💥 LLM jailbreaking occurs when malicious actors exploit vulnerabilities to manipulate LLMs bypassing their safeguards. The impact? It can lead to inappropriate content generation, data breaches, operational disruptions, and more. This poses significant risks for companies, including regulatory issues, reputation damage, and loss of customer trust. In this article you'll learn what's jailbreaking, its causes, and preventive measures. Discover how security protocols, adversarial testing, and AI Red Teaming techniques can protect your business from these threats. Read the full article here 🔗 https://gisk.ar/46Ism92 #AISecurity #LLMs #AIRedTeaming
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✨ Evaluate RAG #Agents automatically 🪄 RAGET (RAG Evaluation Toolkit) can automate and enhance your RAG model's evaluation process. It creates a comprehensive test set, complete with questions, reference answers, and contexts tailored to your model's knowledge base. The toolkit evaluates key components of your RAG agent: the generator, retriever, rewriter, router, and knowledge base. You'll be able to: ‣ Get diagnostics with realistic questions that target specific elements of your RAG system. ‣ Identify potential weaknesses in your RAG components with its detailed question-to-component mapping. ‣ Evaluate your agent’s answers against reference answers, thanks to a LLM-as-a-judge approach ‣ Gain insights into your RAG agent's performance and quickly pinpoint areas for improvement. Learn more 👉 https://gisk.ar/4dh26oH #RAG #LLMs #LLMeval #RAGevaluation
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💥 Join the challenge to test #AISecurity 🏴☠️ 🔴 Giskard Red is an online challenge that allows you to test the limits of Large Language Models (LLMs). You'll be able to disrupt formatting, generate unintended content, and trick the models into producing incorrect answers. Why is AI Red Teaming important? It is crucial for detecting and addressing vulnerabilities in LLMs, ensuring the security and reputation of your organization and customers. Try the Giskard Red challenge 🔗 https://gisk.ar/4dv05EU #AIRedTeaming #LLMs #RedTeaming
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🚨 Expanding our team of #AISecurity experts! 🚨 We're seeking an AI Security / Red-Teaming Consultant to lead enterprise client engagements, collaborate with our sales and marketing team, and liaise with R&D. The ideal candidate has consulting experience in cybersecurity and thrives in an early-stage startup environment. If you're seeking to join a dynamic team where you can grow, this is your chance! 🐢 Apply here 👉 https://gisk.ar/3SHVTd5
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⚡️️ Evaluate & secure your #LLM applications ⚡️ Giskard's LLM scan combines heuristics-based and LLM-assisted detectors to assess vulnerabilities in your domain-specific LLMs, including chatbots, Q&A systems, and RAG models. Our updated documentation walks you through setting up your LLM client, whether you're using OpenAI, Azure, Mistral, Ollama, or your own custom model allowing you to keep control of your data and models. 📚 Learn more: https://gisk.ar/3WAiBox #LLMeval #RAG #AISecurity
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🤝 Teaming up with L'Oréal to bring advanced facial landmark detection ✨ In our latest article, we explore how this collaboration enhances AI facial landmark detection for applications like Skin Screen and Modiface. By evaluating and improving AI models, we ensure L'Oréal's online services achieve superior accuracy and reliability, providing a seamless experience for their customers. Key highlights include: 🔷 Robust model comparison using metrics like Normalized Mean Error 🔷 Enhanced performance across diverse facial regions and head poses 🔷 Increased robustness against image perturbations A big thank you to the L'Oréal team—it has been a pleasure working with you! Read the full article here: https://gisk.ar/3YlN6RT Authors: Rabah Khalek, Alexandre BOUCHEZ, and Mathieu Martial #AIVision #ComputerVision #AIQuality #LOreal
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We're #hiring a new AI Security / Red-Teaming Consultant in Paris, France 🇫🇷 Apply today or share this post with your network 🙌