Airrived Guardrails for AI is an agentic security platform designed to govern and control enterprise use of generative AI tools, including both sanctioned and unsanctioned (Shadow AI) applications. The platform deploys AI agents that intercept and analyze user prompts in real time before they are submitted to external LLMs or internal AI deployments. Rather than relying on simple keyword matching or regex patterns, the agents evaluate the intent and context of each prompt to identify potential exposure of sensitive data such as personally identifiable information (PII), intellectual property, or secrets. Core capabilities include: - Real-Time Prompt Validation: Agents inspect prompts before they leave the enterprise environment, distinguishing between benign queries and those containing sensitive data. - Shadow AI Discovery and Visibility: Continuous mapping of which GenAI tools are being accessed across the organization, providing visibility into unsanctioned AI usage. - Dynamic Policy Enforcement: Corporate policies are translated into active guardrails. Agents can redact sensitive data, block high-risk prompts, or restrict access to approved models based on user identity and risk level. - Automated User Coaching: When a prompt is flagged, the agent delivers context-aware feedback explaining the policy violation, providing in-line security education. The platform positions itself as distinct from traditional CASB and static DLP tools by understanding prompt intent rather than just URLs or keywords, and by adapting policies dynamically as new AI models and shadow applications emerge. Airrived Guardrails for AI supports governance across major external LLM platforms as well as internal LLM deployments.