Security-First AI Governance
JetStream Security-First AI Governance Platform™ (SAIG) is a security first AI governance control plane.
See every AI action, tie actions to accountable owners, keep workflows inside approved boundaries, and turn AI from a black box into a managed system.
How It Works
01
AI Visibility
Anchored by JetStream AI Manifest™
Extended by JetStream AI Hub™ and JetStream Identity Broker™
You can’t control what you can’t see.
JetStream eliminates AI blind spots by continuously discovering AI across your estate — models, agents, MCP servers, AI‑enabled apps, datasets, tools — and the people and agentic identities using them. Then it assembles a real‑time, accountable inventory that stays current as environments change. Discovery spans APIs, browser activity, endpoint signals, cloud logs, and in‑line observability giving you a single source of truth the rest of the SAIG Platform relies on.
02
AI Design Control
Powered by JetStream AI Blueprints™
Extended by JetStream AI Manifest™, JetStream Identity Broker™, JetStream AI Drift Detection™
You can’t approve what you can’t describe.
Design Control turns raw discovery into an approved design by mapping how your AI actually works—agents, models, tools, datasets, and identities—and how they interact. It becomes a living operational contract with versioning and change control, so teams can document intent and compare it to reality as systems evolve.
03
Agentic Identity
Anchored by JetStream Identity Broker™ and JetStream Key Broker™
Extended by JetStream Stream Context™
You can’t trust what you can’t attribute.
Every AI workflow is tied to a provable owner by binding people, agents, NHIs, and model usage into one accountable identity fabric. Raw model provider secrets are replaced with virtual, revocable keys scoped to the approved Blueprint design, so you can rotate, rate‑limit, or kill access without code changes. Least‑privilege, just‑in‑time authorization travels with the workflow across agent hand‑offs, keeping behavior inside the approved design.
04
Runtime Governance
Anchored by JetStream AI Hub™ and JetStream AI Drift Detection™
Extended by JetStream Verified MCP™
You can’t enforce what you can’t verify.
JetStream watches live AI activity and compares that to the approved design within each AI Blueprint. It enforces operational and security guardrails, records evidence, and flags drift from each workflow’s operational contract the moment behavior varies from the Blueprint. Teams can approve the change or stop the run—without losing auditability.
05
FinOps Accountability
Anchored by JetStream SAIG™ Platform components
Extended by JetStream StreamContext™
You can’t scale what you can’t afford.
JetStream turns AI usage into clear, actionable economics — by model, agent, workflow, and owner. It links spend to accountable identities, detects anomalous burn, enforces budgets and rate limits, and routes work to the right model so teams move fast without surprise costs. Dynamic context also reduces spend by shaping each request using the human invoker’s identity and entitlements, so prompts are leaner and authorization is applied by the platform rather than hard‑coded into every workflow.
Integrations & Ecosystem
Representative Use Cases
Executive Oversight for Agentic AI at Scale
As AI moves into production, boards demand proof of control. JetStream provides executive-level visibility into who owns each AI workflow, what models and tools are approved, and how runtime guardrails are enforced — turning governance into measurable accountability.
Runtime Enforcement for Security & Risk Teams
Security teams can’t rely on logs after the fact. JetStream enforces Blueprint-scoped models, identity delegation chains, and key controls in real time — detecting drift, preventing unapproved substitutions, and generating audit-ready evidence automatically.
Secure Enablement for Platform & Builder Teams
Platform teams need to move fast without creating exposure. JetStream replaces shared provider keys with scoped, revocable virtual credentials and embeds governance into workflow design — reducing friction while preserving control.
FAQs
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The JetStream Security-First AI Governance (SAIG) Platform™ is a control plane that governs AI systems at runtime. It provides visibility, identity binding, Blueprint-based design control, drift detection, and FinOps accountability across models, agents, tools, and non-human identities.
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Traditional security tools monitor infrastructure and API activity. JetStream governs AI behavior. It understands workflows, agent hand-offs, model substitutions, identity delegation chains, and runtime drift — enforcing controls at the operational contract level, not just the network level.
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An AI Blueprint™ is a living operational contract that defines approved models, tools, identities, guardrails, and ownership for an AI workflow. Runtime behavior is continuously compared against this approved design.
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JetStream binds agents, service accounts, and model usage to a provable human owner through the Identity Broker™, ensuring every AI action is attributable and revocable.