AI Security & Governance Insights

Choosing the right AI provider is a critical security decision. Learn the key questions and criteria for managing vendor risk in the AI era.

A buyer or auditor asking about your AI controls wants evidence, not a policy. Here's what a compliance-grade AI audit trail looks like — and why it matters.

MaRisk, DORA, and GDPR all shape how financial services firms use AI. Here's what regulators actually expect — and how to build the compliance infrastructure.

The EU AI Act is live and GDPR enforcement now reaches AI-mediated data flows. Here's what lean SaaS operators need to show — and how to think about it.

Law firms, consultancies, and accounting practices face unique AI risks — confidentiality, privilege, regulation. Here's how to adopt AI safely.

Most AI usage policies fail not because they're too strict, but because they're not enforced. Here's how to build one that works — and then make it stick.

Shadow AI grows when employees can't find approved alternatives. Here's how lean teams build an AI allowlist that cuts risk — without a security function.

Employees are already using AI tools you haven't approved. Here's what shadow AI really costs — in data exposure, fines, and rework — and how governance helps.

Employees use AI in the browser most. Without prompt inspection and upload controls, every tab can leak data — here's what browser-layer AI security looks like.