AI Governance Glossary
Essential terminology for AI governance, compliance, safety, and responsible deployment of autonomous AI systems.
Action Blocking
The real-time interception and prevention of an AI agent's tool call or action before it executes, based on policy evaluation.
AI Agent
An autonomous software system that uses AI models to perceive its environment, make decisions, and take actions to achieve goals.
AI Agent Assurance
A practice that goes beyond monitoring to actively prevent unsafe, non-compliant, or harmful AI agent behavior before it reaches users or executes on systems.
AI Agent Assurance Layer
A runtime enforcement component that sits between an AI agent and the systems it interacts with, intercepting and validating every action before execution.
AI Alignment
The challenge of ensuring AI systems' goals, behaviors, and values are consistent with human intentions and organizational objectives.
AI Governance
The framework of policies, processes, and technologies used to ensure AI systems operate ethically, transparently, and in compliance with regulations.
AI Hallucination
When an AI model generates information that appears plausible but is factually incorrect, fabricated, or unsupported by its input data.
AI Observability
The practice of collecting, analyzing, and visualizing technical telemetry from AI systems to understand their operational behavior.
AI Red Teaming
The practice of systematically probing AI systems for vulnerabilities, biases, and failure modes through adversarial testing.
Anomaly Detection
The automated identification of unusual patterns or behaviors in AI agent operations that deviate from expected norms.
Audit Trail
A chronological, immutable record of every decision, action, and data access made by an AI agent.
Autonomous AI
AI systems that can independently perceive, decide, and act without continuous human oversight or approval.
Chain of Thought
A technique where AI models explain their step-by-step reasoning process, improving both output quality and explainability.
Cognitive Firewall
A governance layer that intercepts and evaluates AI agent reasoning and outputs before actions are executed.
Compliance Framework
A structured set of regulations, standards, and guidelines that organizations must adhere to when deploying AI systems.
Hallucination Blocking
The real-time interception of AI-generated outputs containing fabricated facts, false citations, or unsupported claims before they reach users.
Human-in-the-Loop
A design pattern where AI systems require human review, approval, or intervention at critical decision points.
Privacy Leakage
The inadvertent or unauthorized exposure of personally identifiable information or sensitive data by an AI agent during reasoning or output generation.
Prompt Injection
A security attack where malicious instructions are embedded in inputs to manipulate an AI agent's behavior.