For Security & Risk Leaders

Control AI Risk without Slowing Teams

Continuous visibility, runtime guardrails, and audit-ready evidence across human, agentic, and NHI activity enables safe AI scaling.

Get a Demo

How It Works

AI is ready. Trust isn’t.

AI Risk Is Already in Production

AI adoption is accelerating and governance is lagging.

Learn more

Agents execute multi-step workflows across models, tools, data, and identities.

Infrastructure security doesn’t understand the reach of agentic runtime behavior.

Agents and non-human identities act on behalf of people.

Model swaps, toolchain expansion, and privilege creep occur without visibility.

Runaway token usage and unscoped keys increase financial and security risk simultaneously.

The Security Operating Model for AI

Control AI now and over time

AI moves like people move but faster and in less predictable ways. Runtime enforcement tiesd monitoring to approved workflow designs.

Extend identity to agents

Bind humans, agents, service accounts, and models into one accountable identity fabric.

Detect drift in real time

Surface model changes, new MCP usage, and behavioral deviations the moment they occur.

How JetStream Delivers It

JetStream SAIG Platform™ is the security‑first AI governance control plane that helps enterprises trust AI by making AI systems visible, attributable, and governed at runtime.

AI Visibility

You can’t control what you can’t see.

AI Design Control

You can’t approve what you can’t describe.

Agentic Identity

You can’t trust what you can’t attribute.

Runtime Governance

You can’t enforce what you can’t verify.

FinOps Accountability

You can’t scale what you can’t afford.

JetStream governs AI at runtime across humans, agents, NHIs, models, and tools. It enforces approved designs inline, continuously captures behavioral telemetry, and produces audit‑ready evidence for audits and incident response.

How JetStream can help:

Deploys inside your environment and centralize meaningful governance signals by integrating with identity providers, cloud platforms, LLM providers, SaaS apps, EDR solutions, and other select existing security tooling.

Surface shadow AI and unmanaged agent activity across models, MCP servers, SaaS tools, and cloud environments.

Bind every AI action to an accountable identity using short-lived, identity-scoped keys.

Detect drift and unauthorized changes at execution time not months later during audit.

Security-Grade Proof Points

Adoption is outpacing control

Enterprise AI enablement increased ~50% YoY but often operational discipline doesn’t keep pace.

Agent governance gap is widening

74% expect agentic AI usage; only 21% report mature governance.

Governance expectations are rising

Emerging Sovereign AI laws + compliance frameworks raise the bar for continuous oversight and evidence.