Governance & Risk
Deploying AI without creating legal, security or reputational exposure.
What does governance & risk cover?
Policy, oversight, data protection and audit trails for AI systems operating inside a business.
Definitions in this cluster
Hallucination
A hallucination is a confident, fluent model output that is factually wrong or fabricated. It is a structural property of next-token prediction, not a bug that a better prompt fully removes.
Human in the loop
Human in the loop means a person reviews or approves AI output before it takes effect. It is the standard control for automated decisions with financial, legal, safety or reputational consequences.
AI governance
AI governance is the set of policies, approvals, records and controls that determine which AI systems a business may deploy, on what data, with what oversight, and who is accountable for outcomes.
Guardrails
Guardrails are the technical constraints that stop an AI system from acting outside its permitted scope — allowed tools, spending limits, output filters, escalation triggers and refusal rules.
Prompt injection
Prompt injection is an attack in which malicious instructions hidden in content the model reads — a web page, an email, a document — cause it to ignore its original task or misuse its tools.
Guides & analysis
A Practical AI Governance Checklist for Mid-Market Companies
A pragmatic AI governance checklist covering policy, data, evaluation, incident response and vendor management — without the enterprise theatre.