Inline Controls
Inline controls are real-time safeguards that monitor and regulate the behavior of AI agents as they operate. These controls actively inspect inputs and outputs—such as prompts, responses, and API calls—to detect and block harmful or unauthorized actions. Examples include stopping prompt injection attacks, preventing leakage of sensitive data (e.g., PII), and enforcing ethical use policies during execution.
ModelOp’s inline controls are built into its governance platform, enabling enterprises to apply immediate, automated enforcement on agentic systems. If an agent attempts a policy-violating action, ModelOp can block the request or response instantly and trigger alerts—ensuring all AI activity remains secure, compliant, and aligned with business rules.
See the ModelOp Center for more details.