AI Guardrails at Financial Institutions: Can You Show the Control Ran?
Many institutions write AI guardrails as system prompt instructions. Why that falls short in an exam, and what a control an examiner can rely on looks like.
Governance
Inline policy enforcement, deployment modes, and audit-grade evidence for regulated AI workloads.
Meilynx at IAPP AI Governance Global 2026 in Seattle
We're attending IAPP Privacy. Security. Risk. + AI Governance Global in Seattle, October 6-9. Here's where to find the Meilynx team.
Meilynx at the ISG AI Impact Summit in New York
We're pitching in the ISG Startup Challenge at the AI Impact Summit in New York on October 28-29, with the latest Meilynx features for regulated AI.
Catching AI Agent Drift Without Exposing Your Prompts
AI agents can change after approval without a new release. How permission and prompt drift happen, and how to catch them while prompts stay in your environment.
How a Proxy Governs MCP Agents
What runtime governance requires at the MCP layer, and how a proxy between agents and their tools provides it.
Latest Breach Report Exposes an Enterprise AI Control Gap
AI-related breaches rose 61%, and financial services now carries the second-highest breach cost. The gap is in the workflow around AI, not the model.
Building Trust in Enterprise AI
Why governance and evidence are becoming prerequisites for adoption.
Hiring by Algorithm: The Compliance Landscape for AI in the Workplace
AI now screens resumes and recommends candidates for interview. States are building a legal framework to protect candidates and prevent discrimination.
The Impact of AI on Data Breaches
The rising cost of shadow AI, weak access controls, and absent governance — and where enforcement actually closes the gap.