AI Governance Glossary

Comprehensive definitions of the terms enterprise security, compliance, and technology teams encounter when evaluating AI governance infrastructure.

AI Agent

An autonomous software program that can take actions on behalf of a user or organization, including executing API calls, accessing databases, sending messages, and interacting with other systems. AI agents operate through protocols like MCP and A2A and require governance controls including identity, authorization, and audit logging.

AI Control Plane

The governance layer that sits between enterprise applications and AI models, deciding how AI traffic flows, which policies apply, and how to audit every interaction. Analogous to the control plane in networking. SmartFlow is an AI control plane.

AI Firewall

A security component that inspects AI traffic in real-time to prevent prompt injection, data exfiltration, PII leakage, and toxic output. Unlike a traditional WAF, an AI firewall understands prompt semantics and model-specific attack vectors.

AI Gateway

Infrastructure that sits between applications and LLM providers, providing routing, load balancing, failover, caching, and observability. Differs from a traditional API gateway because AI traffic requires semantic understanding and token-level metering.

AI Governance

The policies, processes, and infrastructure that ensure AI systems operate within defined boundaries for security, compliance, cost, and performance. Spans policy documentation, enforcement, and audit.

AI Sovereignty

The principle that an organization maintains complete control over its AI infrastructure, including where AI traffic flows, how models are accessed, and where data resides. Requires on-premises or private cloud deployment.

AIDA (AI Agent Identity and Delegated Authority)

A cryptographic protocol developed by APERION that binds AI agents to human principals with exact action scopes, transaction limits, and account allowlists. Answers the question: who authorized this agent and did it stay within boundaries?

A2A (Agent-to-Agent Protocol)

A standardized protocol for AI agents to communicate and collaborate with other agents. Requires governance to ensure both agents are authorized and data exchange complies with policies.

Data Loss Prevention (DLP) for AI

Controls that prevent sensitive data from being transmitted to AI models through prompts or file uploads. AI-specific DLP requires semantic understanding of prompts, not just pattern matching.

EU AI Act

The European Union's comprehensive AI regulation, effective August 2025, classifying AI systems by risk level with requirements for high-risk systems including documentation, human oversight, and record-keeping. Applies extraterritorially.

FINRA Rule 3110

A FINRA rule requiring broker-dealers to maintain supervisory systems. In the AI context, requires supervision of AI-assisted communications, automated decision-making, and AI agent actions.

Forward Deployed Engineer (FDE)

An APERION engineer who works embedded with a customer's team to configure SmartFlow, integrate with identity providers, and optimize governance policies.

Information Barrier (Chinese Wall)

A governance control preventing the flow of material non-public information between business units. SmartFlow enforces barriers at the AI gateway using LDAP/AD group identity combined with real-time content classification.

Kubernetes-Native

Software designed to run natively on Kubernetes, using pods, services, Helm charts for deployment and scaling. SmartFlow deploys via Helm chart with cert-manager TLS validation.

Maestro

SmartFlow's policy engine and optimization console. Provides policy-as-code governance, A/B model routing, cost attribution, quality evaluation, and compliance enforcement from a single dashboard.

MCP (Model Context Protocol)

A standardized protocol enabling AI agents to invoke external tools. Each MCP tool invocation represents a data flow and permission decision requiring governance.

MetaCache

SmartFlow's four-phase semantic caching engine delivering 55-75% hit rates and up to 80% token cost reduction. Uses BERT-based semantic similarity matching. Published p95 benchmarks from NVIDIA GTC 2026.

NIST AI RMF

Framework published by NIST providing guidelines for managing AI risks. Covers governance, mapping, measuring, and managing AI risk throughout the lifecycle.

On-Premises Deployment

Running software within an organization's own data center or private cloud, ensuring data never leaves the organization's perimeter.

Policy-as-Code

Defining governance policies in machine-readable formats that can be version-controlled, tested, and automatically enforced. SmartFlow's Maestro supports this with versioning and rollback.

Prompt Injection

An attack technique where malicious instructions are embedded in AI prompts to manipulate model behavior or extract sensitive information. SmartFlow's AI firewall provides real-time detection and prevention.

Regulatory Examination Suite

SmartFlow's capability to generate complete regulatory examination evidence packages with a single API call. Supports SR 11-7, FINRA 3110, FFIEC, and EU AI Act.

Semantic Caching

A caching technique serving stored responses for queries that are semantically similar (not just identical). Uses embedding models to calculate cosine similarity between query vectors.

Shadow AI

The use of AI tools by employees outside sanctioned enterprise channels. Creates data security, compliance, and cost governance risks.

SmartFlow

APERION's AI governance control plane. Sits inline between enterprise applications and AI providers, enforcing policy, governing agents, optimizing cost, and proving compliance. On-premises, Rust-based, sub-5ms overhead.

SmartFlow Edge

APERION's browser extension and endpoint agent for governing employee use of external AI tools. Uses a pull-based zero-knowledge relay with customer-held encryption keys.

SR 11-7

OCC supervisory guidance on model risk management, requiring banks to maintain model inventories, validate models, and monitor outcomes. Now extends to AI models in financial services.

Virtual Key

A credential issued by SmartFlow administrators that applications use to authenticate. Replaces direct API keys, keeping provider credentials server-side with per-user policy enforcement.

Zero-Knowledge Relay

An architecture where governance policies are enforced locally on the endpoint without the vendor having visibility into customer data. Used by SmartFlow Edge.