From DIY Agents to Enterprise-Grade Governance
A unified AI gateway platform is a centralized control layer that sits between enterprise systems and AI models or agents, providing a single point to monitor, secure, and govern every interaction across diverse infrastructure and tools in real time. Enterprises have built powerful agents that query data, call tools, and make decisions, but deployment is lagging. As JetStream Security’s CEO Raj Rajamani notes, many organizations “sit on game-changing AI agents they already built but can’t deploy, simply because the governance layer doesn’t exist.” This gap between experimentation and production is now an enterprise AI governance problem, not a model quality problem. Without consistent policies or visibility into what agents are doing, security leaders hesitate to move pilots into live workflows, slowing down value and increasing the odds of uncontrolled shadow AI projects spreading across business units.
Why AI Deployments Are Outpacing Governance
Autonomous agents are moving faster than traditional security and compliance controls. According to Palo Alto Networks, 81% of enterprises are piloting or have implemented AI agent solutions, and these are not limited to simple chatbots. Modern agents call APIs and MCP servers, access sensitive internal data, and trigger actions in production systems, which expands the attack surface in ways legacy tools do not see. Each team can spin up agents on different clouds and model providers, often without a shared policy framework. The result is fragmented oversight and inconsistent enforcement. Security teams lack a single source of truth for what agents exist, what data they touch, and who is accountable for their decisions. This deployment-governance gap drives demand for platforms that can centralize policies and observation without slowing down development teams or forcing them to rebuild their AI stacks.
Unified Control Planes: Turning Chaos into Control
Unified AI gateways answer this demand by creating a common control plane for all model and agent traffic. Prisma AIRS AI Gateway, built from Portkey’s technology, is designed as a single unified control plane that identifies, authenticates, and authorizes every agentic interaction in real time. Instead of each application embedding its own access logic, the gateway applies consistent policies across models, MCP servers, and tools via one interface. Features such as a unified API to large language models, an agent registry, semantic routing, caching, and runtime security make it possible to scale autonomous agent security without redesigning existing applications. By centralizing enforcement, the gateway becomes the place to perform agent artifact scanning, automated red teaming, and behavioral monitoring, reducing invisible attack surfaces while preserving developer speed and low-latency agent-to-agent communication.
JetStream and Prisma AIRS: Two Paths to Enterprise AI Governance
Vendors are converging on the idea that enterprise AI governance needs visibility plus enforcement. JetStream Security focuses on observability with AI Blueprints, dynamic graphs that map how AI agents operate in real time, what data they access, what tools they call, what they cost, and who is accountable. Unlike static architecture diagrams, these live Blueprints track runtime behavior and flag deviations from authorized purposes, giving security and engineering teams a single source of truth. Prisma AIRS, enhanced by Portkey’s AI gateway, brings that insight into a broader security platform that also enforces policies mid-flight. Together, these approaches show how governance is shifting from manual reviews and one-off audits to continuous, system-level control that spans the entire agent lifecycle, from design and testing through large-scale production operations.
Why AI Governance Infrastructure Is Drawing Investor Attention
Infrastructure builders for enterprise AI governance are starting to receive the same attention as core data and cloud platforms. JetStream Security’s inclusion in Redpoint Ventures’ InfraRed 100 list places it alongside companies seen as defining real-world AI infrastructure. Earlier this year, JetStream also secured USD 34 million (approx. RM156.4 million) in seed funding, indicating that investors now view governance as essential for AI maturity, not an optional add-on. On the platform side, Palo Alto Networks’ acquisition of Portkey signals that unified AI gateway capabilities belong inside mainstream security portfolios rather than as niche tools. As autonomous agents become standard in business workflows, the winners are likely to be those who can prove they offer reliable enterprise AI governance, strong autonomous agent security, and a unified control plane that lets organizations scale AI without losing oversight.