AI Defense Matrix Catalog

JetStream Security

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Overview

Product details compiled from public sources, each with a citation.

Vendor
JetStream Security3agent
Description
AI governance platform that discovers AI agents, models, and MCP servers, binds them to accountable identities, and enforces approved Blueprint designs at runtime.3agent
Deployment
SaaS3agent
Status
Active3agent
Compliance
FedRAMP High1agent (company-level, see Methodology)

Matrix Coverage

Where this product defends, by asset class and NIST CSF function. The Coverage column shows whether each asset is Primary, Secondary, or Adjacent to what the product does. The table omits empty rows and columns.

Asset class GovernIdentifyProtectDetect Coverage
AI Orchestration Tools Primary 3
AI Gateways and Routers Secondary 2
AI Model Secondary 3
Runtime AI Data Secondary 3
AI Agent Identities Primary 3

Framework Relevance

These frameworks include controls relevant to the asset classes JetStream Security defends. This is an editorial inference from the AI Defense Matrix asset-level crossmap, not a statement that JetStream Security implements these controls or is certified against them.

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Framework Asset class Relevant controls
NIST IR 8596 AI Orchestration Tools Agents as deployed artifacts (orchestration view; see AI Agent Identities row for the principal view); system prompts and templates
AI Gateways and Routers AI data flows; APIs; inference endpoints (traffic side); model registries and dataset sources
AI Model Models; Algorithms (model configuration)
Runtime AI Data Prompts (runtime); inference data
AI Agent Identities Agents as autonomous principals; Keys; Integrations and permissions
CSA AI Controls Matrix AI Orchestration Tools Application and Interface Security; Supply Chain Management
AI Gateways and Routers Infrastructure Security; Interoperability and Portability
AI Model Model Security; Governance, Risk and Compliance
Runtime AI Data Data Security and Privacy Lifecycle Management; Application and Interface Security
AI Agent Identities IAM; Governance, Risk and Compliance
ISO 42001 AI Orchestration Tools A.6 AI system life cycle; A.5 Assessing impacts of AI systems
AI Gateways and Routers A.8 Information for interested parties; A.9 Use of AI systems; A.10 Third-party and customer relationships
AI Model A.6 AI system life cycle; A.10 Third-party and customer relationships; A.5 Assessing impacts of AI systems
Runtime AI Data A.7 Data for AI systems; A.8 Information for interested parties
AI Agent Identities A.9 Use of AI systems; A.3 Internal organization; A.5 Assessing impacts of AI systems
Google SAIF AI Orchestration Tools Secure the AI supply chain; application and pipeline security; agent orchestration controls
AI Gateways and Routers Harden and monitor infrastructure; network-level access and egress controls
AI Model Protect the AI model; ensure model integrity, provenance, and weight security
Runtime AI Data Expand AI red-teaming; runtime input and output safety; prompt defense
AI Agent Identities Focus on Agents (explicit SAIF section); identity, authorization, and delegation controls
SANS Critical AI Security Guidelines AI Orchestration Tools Secure Agentic Systems and AI Autonomy Controls (defined function scope; execution isolation; API and function-call gating); Limit Model Behavior (focused functionality; access controls outside the model)
AI Gateways and Routers Conventional Security Controls (authenticate and control access to inference APIs; API key management); Model I/O Handling (rate limiting; egress output filtering); Monitoring (interaction and API-usage logging)
AI Model Conventional Security Controls (protect model parameters with least privilege, encryption at rest, runtime obfuscation, and trusted execution environments); Data/Model Engineering Controls (adversarial training; alignment and fine-tuning); AI Supply Chain Management (public-model caution; transfer-attack exposure)
Runtime AI Data Model I/O Handling (sanitize, validate, and filter inputs and outputs; segregate user and system prompts; multilayered prompt-injection defense); Conventional Security Controls (protect augmentation and RAG data with vector-store access controls and validation); Data Minimization and Obfuscation (limit sensitive prompt content; context-window management); Limit Model Behavior (AI guardrails)
AI Agent Identities Secure Agentic Systems and AI Autonomy Controls (defined function scope; API and function-call gating; escalation and fallback); Limit Model Behavior (least-privilege focused functionality; human oversight; override capabilities)
MITRE ATLAS AI Orchestration Tools AML.T0051 LLM Prompt Injection; AML.T0054 LLM Jailbreak; AML.T0016 Obtain Capabilities (malicious plugins)
AI Gateways and Routers AML.T0057 LLM Data Leakage; AML.T0024 Exfiltration via AI Inference API (network-side observation)
AI Model AML.T0043 Craft Adversarial Data; AML.T0024 Exfiltration via AI Inference API (subtechniques: AML.T0024.001 Invert AI Model and AML.T0024.002 Extract AI Model); AML.T0018 Manipulate AI Model (integrity and backdoor)
Runtime AI Data AML.T0051 LLM Prompt Injection; AML.T0054 LLM Jailbreak; AML.T0056 Extract LLM System Prompt
AI Agent Identities AML.T0053 AI Agent Tool Invocation; credential and delegation-chain abuse
OWASP AI Exchange AI Orchestration Tools Development-time threats: agent framework supply chain; runtime threats: plugin abuse, prompt injection via tools
AI Gateways and Routers Runtime threats: data leakage via AI egress; network-level access control gaps
AI Model Development-time and runtime model threats: model inversion, extraction, evasion, poisoning
Runtime AI Data Input threats: prompt injection, adversarial inputs, evasion; runtime threats: RAG poisoning, memory tampering
AI Agent Identities Runtime threats: unauthorized agent actions, capability abuse, delegation chain exploitation
OWASP LLM Top 10 AI Orchestration Tools LLM01 Prompt Injection; LLM05 Improper Output Handling; LLM07 System Prompt Leakage; LLM10 Unbounded Consumption
AI Gateways and Routers LLM10 Unbounded Consumption (cost and rate control); shadow AI egress and output handling
AI Model LLM03 Supply Chain; LLM04 Data and Model Poisoning; LLM09 Misinformation
Runtime AI Data LLM01 Prompt Injection; LLM02 Sensitive Information Disclosure; LLM08 Vector and Embedding Weaknesses; LLM05 Improper Output Handling
AI Agent Identities LLM06 Excessive Agency; LLM05 Improper Output Handling; unauthorized actions by AI agents
OWASP Agentic Security Top 10 AI Orchestration Tools ASI01 Agent Goal Hijack; ASI02 Tool Misuse and Exploitation; ASI05 Unexpected Code Execution (RCE); ASI07 Insecure Inter-Agent Communication; ASI08 Cascading Failures; ASI10 Rogue Agents
AI Gateways and Routers ASI07 Insecure Inter-Agent Communication; ASI02 Tool Misuse and Exploitation (egress and tool-invocation scope); ASI04 Agentic Supply Chain Vulnerabilities (MCP and tool-registry trust)
AI Model ASI04 Agentic Supply Chain Vulnerabilities (model provenance, weights, and dynamic loading)
Runtime AI Data ASI06 Memory & Context Poisoning; ASI01 Agent Goal Hijack (via prompt injection in runtime inputs)
AI Agent Identities ASI03 Identity and Privilege Abuse; ASI10 Rogue Agents; ASI09 Human-Agent Trust Exploitation; ASI02 Tool Misuse and Exploitation (when tied to agent permissions)

Provenance

Last sourced 2026-07-27.

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Sources

  1. Rethinking AI Risk with JetStream
    Vendor source accessed 2026-07-24
    • “Build your AI action plan with JetStream, now FedRAMP High certified.”
  2. JetStream Announces Verified MCP Governance Layer for Enterprise AI Agents
    Vendor source accessed 2026-07-27
    • “It gives enterprises a unified control point over MCP and large language model traffic, including authentication, authorization, policy enforcement, and content inspection before and after each call.”
  3. Security-First AI Governance Platform
    Vendor source accessed 2026-07-27
    • “An AI Blueprint™ is a living operational contract that defines approved models, tools, identities, guardrails, and ownership for an AI workflow.”
    • “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.”
    • “It enforces operational and security guardrails, records evidence, and flags drift”

Changelog

  1. Extended matrix coverage with two additional rows.

  2. Corrected matrix coverage (erratum): added a function to one row.

  3. Added to the catalog from the JetStream Security platform documentation.

Found an error? Corrections are welcome. Suggest an edit.