You retain full ownership and control of your data. We build AI solutions directly within an AWS environment under your organization's account. Security is considered from the design phase, and enterprise data is not used to train third-party Large Language Models (LLMs).

AI Guardrails are policies and controls designed to monitor and govern how AI systems process inputs and generate outputs. They help protect against harmful or inappropriate content, unauthorized data exposure, policy violations, and other risks that may arise when AI is used in enterprise environments.

Enterprise AI systems often operate on sensitive business data and support critical business processes. AI Guardrails help organizations apply consistent policies, enforce governance requirements, and reduce operational risks, enabling AI applications to be deployed more responsibly.

A prompt injection attack occurs when a user with malicious intent attempts to manipulate an AI system by providing instructions that override its intended behavior, policies, or safeguards. If not properly addressed, these attacks can lead to unintended responses, policy violations, or unauthorized disclosure of information.

There is no single method for eliminating hallucinations, but organizations can significantly reduce the risk through a combination of Retrieval-Augmented Generation (RAG), AI guardrails, LLMOps monitoring, response validation mechanisms, and human oversight. Together, these controls help improve the reliability and trustworthiness of AI-generated outputs.

Yes. AI guardrail policies can be customized to align with an organization's industry regulations, internal governance requirements, acceptable usage policies, and operational objectives. This allows organizations to apply controls that are appropriate for their specific risk profile and business environment.

Yes. Audit logs can be maintained to support monitoring, troubleshooting, governance, and compliance requirements. These logs provide visibility into AI interactions, policy enforcement activities, and operational events, helping organizations improve oversight and accountability.