For over a decade, SOC 1 and SOC 2 reports have established trust in software, allowing organizations to outsource data management to third parties. However, the rise of AI agents challenges traditional compliance frameworks that focus on static systems, creating a critical trust gap. SOC reports are inadequate for evaluating the dynamic behaviors of these intelligent systems. As enterprises deploy AI that can autonomously reason and interact with sensitive data, the risk landscape has fundamentally shifted, necessitating a new compliance approach.
Agentic evaluations, as developed by CompFly AI, fill this gap by focusing on the behaviors of AI agents within real-world conditions. Unlike traditional audits, which assess documentation and configurations, agentic evaluations test how AI interacts with systems and data. With AI becoming integral to core business operations, these evaluations are essential for ensuring responsible behavior. As the demand for reliable AI trust frameworks grows, organizations must adapt their compliance strategies to include continuous behavioral assessments, thereby safeguarding against risky outcomes.
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