Category: AI Safety
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Agentic RAG Safety: 5 Guardrails Stopping Data Leaks
We’ve all seen the demos. An autonomous AI agent connected to the company wiki, CRM, and Slack flawlessly executes a multi-step research task that would take a human hours. It retrieves, reasons, and acts in a single, fluid loop. The C-suite applauds. The engineering team panics. The applause is for a new paradigm of work.…
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RAG Can Make AI Models Riskier: New Research Shows a 30% Increase in Unsafe Outputs
RAG Can Make AI Models Riskier: New Research Shows a 30% Increase in Unsafe Outputs Introduction Retrieval-Augmented Generation (RAG) has emerged as a powerful technique to enhance the accuracy and relevance of AI models. By grounding AI’s responses in real-time, verifiable data, RAG promises to overcome the limitations of static, pre-trained models. However, recent findings…
