JetStream Security provides a Security‑First AI Governance Platform that continuously discovers and inventories AI models, agents, datasets, and tool integrations across cloud, endpoint, and SaaS environments. It lets enterprises define versioned AI Blueprints and enforce them in real time through runtime monitoring, identity‑bound access controls, immutable audit logs, and FinOps accountability, ensuring security, compliance, and cost control for large‑scale AI deployments.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises adopting generative AI and agentic workflows face uncontrolled proliferation of models, tools, and autonomous agents across teams and environments, leading to hidden usage, lack of ownership, and difficulty ensuring security, compliance, and cost control.
Solution
JetStream Security offers a Security‑First AI Governance Platform (SAIG) that provides continuous visibility, design control, identity binding, runtime enforcement, and financial accountability for AI systems. The platform discovers all AI assets—including models, MCP servers, agents, datasets, and tool integrations—across cloud, endpoint, and SaaS environments, creating a real‑time inventory anchored by the JetStream AI Manifest™. Organizations define AI Blueprints™ that capture approved models, tools, identities, and guardrails; these blueprints serve as living operational contracts with versioning and change control. At runtime, the JetStream AI Hub™ monitors agentic activity, compares behavior against the blueprints, detects drift, and enforces policies instantly, while immutable logs provide audit‑ready evidence. The Identity Broker™ binds human users, agents, and non‑human identities to provable owners and issues short‑lived virtual keys, enabling attribute‑based access control and revocation without code changes. FinOps accountability links AI usage and spend to accountable identities, surfacing anomalous costs and enforcing budget limits.
Target Audience
Primary customers are enterprise security, risk, and compliance teams, as well as platform and AI development groups that need real‑time control and accountability for large‑scale agentic AI deployments.
Features
- Continuous discovery of AI models, agents, MCP servers, datasets, and tool usage across endpoints, cloud logs, and SaaS applications
- AI Blueprint™ creation with versioned design contracts that map models, tools, identities, and risk controls
- Real‑time runtime governance that validates live AI behavior against Blueprints, detects drift, and automatically blocks unauthorized actions
- Identity Broker™ that unifies human, agentic, and non‑human identities, issuing revocable virtual keys scoped to Blueprint permissions
- Immutable, non‑selective logging and audit‑ready evidence generation for security, compliance, and board reporting
- FinOps module that attributes AI spend to owners, monitors budget thresholds, and optimizes model selection to prevent cost overruns
- Integration hooks for existing identity providers, cloud platforms, LLM providers, CI/CD pipelines, and security tools