Runtime enforcement
Beyond Market Intelligence keeps Runtime enforcement in one place: 3 stories so far. The section currently leads with “Gateways can't fix what identity layers don't yet secure.”, “From Policy to Practice: Microsoft's Blueprint for AI Governance in Action”, and “Visa turns AI agents against its own network to expose hidden risk”. Start with the agents you can actually name. Microsoft's latest guidance moves AI governance from static policy documents to active runtime enforcement. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every Runtime enforcement story on Beyond Market Intelligence, newest first.
Gateways can't fix what identity layers don't yet secure.
Start with the agents you can actually name. If you cannot identify which agent is acting, who delegated the work, and what credentials are in play, no gateway will save you. Enforcement feels like progress, but it is the fifth control, not the first. Build the dependency chain in order: inventory, identity, scoped credentials, telemetry, then enforcement. Skip ahead and you will burn your first hour of incident response just figuring out what should have been obvious.
From Policy to Practice: Microsoft's Blueprint for AI Governance in Action
Microsoft's latest guidance moves AI governance from static policy documents to active runtime enforcement. By mapping nine governance domains across policy, control, visibility, and proof, the company connects intent with live execution. That matters because production AI demands continuous evaluation, not just upfront checks. It's a practical step toward verifiable accountability, and it pairs well with our coverage of observability in testing, like Grafana's approach to monitoring Cypress suites. Governance is becoming operational, and that's a shift worth watching closely.
Visa turns AI agents against its own network to expose hidden risk
Visa's president of technology walked the VB Transform 2026 audience through aiming Anthropic's Mythos at the company's own payment network. The model stitched minor weaknesses into working exploit chains, and Visa open-sourced the harness that governed the hunt. That is what it looks like when an enterprise has the engineering depth to act on what it finds. Most do not get there. Just over half of enterprises have already had an agentic security incident or near-miss, yet only 18% isolate their highest-risk agents.