Executive Summary As Artificial Intelligence transition from research experiments to core pillars of corporate strategy, organizations face a critical challenge: how to scale AI adoption while managing risks. The rapid deployment of Large Language Models (LLMs) and autonomous agents introduces a wide range of technical, legal, and operational risks—including data privacy violations, algorithmic bias, copyright…
Executive Summary Large Language Models (LLMs) are inherently non-deterministic. While this makes them highly creative and capable of understanding complex human queries, it also makes them unpredictable. In enterprise environments, unpredictability is a significant risk. An uncontrolled LLM can hallucinate false facts, leak proprietary data, produce toxic responses, or fall victim to prompt injection attacks.…
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