JetStream Security-First AI Governance Platform (SAIG) is a security-focused AI governance control plane designed to provide visibility, control, and accountability over agentic AI systems and workflows. The platform is organized around five core capability areas: - AI Visibility: Continuously discovers AI assets across an organization's environment, including models, agents, MCP servers, AI-enabled applications, datasets, tools, and the human and non-human identities using them. Discovery spans APIs, browser activity, endpoint signals, cloud logs, and inline observability to maintain a real-time inventory. - AI Design Control: Maps how AI systems actually operate — agents, models, tools, datasets, and identities — and their interactions. Creates versioned, living operational contracts (called AI Blueprints) that document intended design and enable comparison against actual runtime behavior. - Agentic Identity: Binds people, agents, and non-human identities (NHIs) into an accountable identity fabric. Replaces raw model provider secrets with virtual, revocable keys scoped to approved Blueprint designs. Enforces least-privilege, just-in-time authorization across agent hand-offs. - Runtime Governance: Monitors live AI activity and compares it against approved Blueprint designs. Enforces operational and security guardrails, records evidence, and flags drift from approved workflows in real time. Allows teams to approve changes or halt execution while maintaining auditability. - FinOps Accountability: Tracks AI usage and associated costs by model, agent, workflow, and owner. Detects anomalous spend, enforces budgets and rate limits, and links expenditure to accountable identities. Named platform components include: JetStream AI Manifest, JetStream AI Hub, JetStream Identity Broker, JetStream AI Blueprints, JetStream AI Drift Detection, JetStream Key Broker, JetStream Stream Context, and JetStream Verified MCP.