Overview

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

Vendor
Hush Security1
Description
Discovers AI agents and MCP servers at runtime and replaces their static credentials with just-in-time identity-based access.3
Deployment
SaaS, Self-hosted, Hybrid2
Status
Active1

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 IdentifyProtect Coverage Source
AI Orchestration Tools Protect: Not covered Secondary 3
AI Agent Identities Primary 3

Framework Relevance

These frameworks include controls relevant to the asset classes Hush Security defends. This is an editorial inference from the AI Defense Matrix asset-level crossmap, not a statement that Hush 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 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 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 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 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 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 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 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 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 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 2026-06-10.

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Sources

  1. Hush Security homepage
    Vendor source accessed 2026-06-10
  2. Hush Security platform page
    Vendor source accessed 2026-06-10
  3. Hush Security agentic AI governance solution page
    Vendor source accessed 2026-06-10
    • “We automatically find AI agents, map the tools and systems they can access, and surface the risky combinations that create real exposure.”

Changelog

  1. Refined matrix coverage.

  2. Added to the catalog from the Hush Security documentation.

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