policy enforcement
Beyond Market Intelligence keeps policy enforcement in one place: 5 stories so far. The section currently leads with “Instagram limits AI profiles that hide their artificial nature”, “How Brex secures AI agents by observing the network, not the code”, and “Simplify infrastructure governance with policy-as-code built into Terraform”. Instagram is putting new limits on undisclosed AI profiles, and that's a move worth paying attention to. "Agents" is a terrible name, and Brex's CEO says so. 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 policy enforcement story on Beyond Market Intelligence, newest first.

Instagram limits AI profiles that hide their artificial nature
Instagram is putting new limits on undisclosed AI profiles, and that's a move worth paying attention to. As frustration over AI influencers grows, the platform is quietly curbing their reach unless they're clearly labeled. It's a practical step toward honesty in a space where synthetic personas often blur the line between entertainment and deception. For users tired of guessing who's real, this adds a layer of clarity.

How Brex secures AI agents by observing the network, not the code
"Agents" is a terrible name, and Brex's CEO says so. At VB Transform 2026, Pedro Franceschi argued that the industry needs a mindset shift from vague terminology to concrete roles, like a virtual employee. Brex's security team initially balked at deploying agents, so the company built CrabTrap, a network-level proxy that assumes the agent is compromised and monitors traffic. It's a pragmatic blueprint for enterprise security. For more on how AI systems navigate complexity, explore our related coverage on paragraph structure.

Simplify infrastructure governance with policy-as-code built into Terraform
HashiCorp has rolled out tfpolicy, a new HCL-based policy-as-code framework for Terraform, now in public beta within HCP Terraform. The move targets a persistent pain point: governance has long meant juggling separate tools and languages, which slows down teams. By embedding policy creation and enforcement directly into Terraform workflows, tfpolicy keeps things simpler and more intuitive. It's a practical step toward modernizing infrastructure governance. For more on how AI is reshaping related workflows, our piece on bridging retrieval and action offers useful context.

Brex lets real agent behavior shape smarter AI security policies
Brex stopped trying to police AI agents with SDK-level rules and started watching what those agents actually do. Its open-source proxy, CrabTrap, sits between every agent and every network request, using an LLM-as-a-judge to make enforcement decisions in real time. The insight is simple: the transport layer is an underused enforcement point. By bootstrapping policies from observed traffic instead of writing them from scratch, Brex found that governance gets sharper as agents get more capable.

Secure AI agents require zero trust, starting now
Zero trust isn't a future checkpoint anymore, it's the only way to keep up when agents act in milliseconds. Ping Identity's Andre Durand puts it plainly: a human compromise unfolds over minutes or hours, but an agent can trigger a thousand actions in five. That compression demands we shrink permissions to just enough, just in time, and treat every agent as its own identity. The window to build this architecture is narrow. Move now, or retrofit later at far greater cost.