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Hermes Codex

AgentThreat Studio: Visual AI Agent Threat Modeler & Blast-Radius Simulator

Interactive Architecture Canvas

Section titled “Interactive Architecture Canvas”

Use the interactive workbench below to diagram your agentic pipeline, load preset architectures, inspect blast-radius paths, and generate ready-to-deploy defensive virtual patches:

AGENTTHREAT STUDIO

Components

Click to add
1. Ingress & Sources
2. LLM Reasoners
3. Memory & Retrieval
4. Tools & MCP
5. Defensive Guards
6. Egress & Sinks
💡 Right port ➔ Left port to connect. Mouse wheel to zoom, drag background to pan. Del key to remove node.

Security Audit

LIVE AUDIT
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1. Why Traditional Threat Modeling Fails for AI Agents

Section titled “1. Why Traditional Threat Modeling Fails for AI Agents”

Traditional software threat modeling (e.g., STRIDE, PASTA) assumes deterministic execution paths and clear security perimeters between clients, application servers, and databases.

In Agentic AI systems, these assumptions collapse:

  1. The Semantic Execution Layer: An LLM does not execute fixed code; it interprets unstructured natural language and dynamically determines which tools to invoke and which parameters to supply.
  2. Context As Shared Memory: System instructions, retrieved RAG documents, user chat messages, and tool outputs coexist in the exact same attention context. If an external untrusted document contains adversarial instructions, the model cannot cryptographically differentiate them from system instructions (AAP-002: Indirect Context Injection).
  3. Autonomous Cascading Blast Radius: When an agent is granted write permissions or shell execution without out-of-band confirmation, an injection at the perimeter cascades into operating system compromise (AAP-007: Autonomous Cascading RCE).

2. The 5 Core Axioms of Agentic Defense

Section titled “2. The 5 Core Axioms of Agentic Defense”

AgentThreat Studio continuously evaluates your pipeline against the 5 foundational axioms of agentic security:

Axiom 1: Ingress Isolation

Never allow untrusted input streams (public chat, email, webhook) to directly reach a privileged reasoner without input validation or pre-flight verification (AAP-001).

Axiom 2: Context Provenance

External data retrieved via web scrapers or third-party APIs must be sanitized and tagged with cryptographic provenance before being ingested into shared vector databases (AAP-005).

Axiom 3: Schema Strictness

Tools exposed to LLMs must never accept unconstrained string arguments. All parameters must be validated against strict typed schemas, regex boundaries, or whitelisted enums (AAP-003).

Axiom 4: The JIT Approval Gate

Any tool with filesystem write access, database mutation, or operating system shell execution must enforce an out-of-band Human-In-The-Loop (HITL) confirmation gate (AAP-007).

3. How to Use AgentThreat Studio

Section titled “3. How to Use AgentThreat Studio”

  1. Select an Architecture Preset or Start from Scratch Use the top dropdown to load common architectural patterns (Autonomous DevOps Agent, Customer Support RAG, Desktop MCP Assistant, or Hardened Enterprise Pipeline).

  2. Add and Connect Components Click items in the left palette to instantiate Ingress, Reasoners, Memory, Tools, and Guards. Click the right connection circle of a source node, then click the left port of the destination node to link them.

  3. Configure Security Attributes Double-click any node on the canvas to open the property inspector. Toggle Trust Levels (Untrusted vs Trusted), Privilege Scopes (Read-Only vs Full System Execution), and HITL Approval Gates.

  4. Review Live Findings & Export Defensive Code The right-hand panel updates your Agentic Security Score (ASS) in real-time, detailing every active attack path. Click Python Patch to generate Pydantic defense wrappers, or click Mermaid to copy the architecture diagram into your project documentation.

4. Related Codex Research & Attack Patterns

Section titled “4. Related Codex Research & Attack Patterns”