AI red teaming & LLM evaluation

Agentic Radar: open-source scanner for agent workflows

Agentic Radar is an open-source scanner for agent workflows from Zscaler (SPLX). It is released under the Apache-2.0 license and is offered as: CLI, Self-hosted.

  • Last reviewed
Open sourceApache-2.0 Layer 4: Testing and red teaming

Best for

Developers who build agents with LangGraph, CrewAI, n8n, OpenAI Agents or AutoGen and want a free scan of the workflow code with an HTML report

Ownership

Zscaler announced on November 3, 2025 that it has acquired SPLX, which publishes Agentic Radar. The repository README does not mention Zscaler. Source, checked October 21, 2026: zscaler.com (opens in a new tab)

Consider instead if

  • You want SPLX's managed red teaming platform with reports and support. See SPLX.
  • You want probes that attack a live model endpoint rather than reading workflow code. See garak.

What Agentic Radar does

Agentic Radar is a free open-source (Apache-2.0) scanner for agentic workflows, published by SPLX, which is now part of Zscaler. Its scan command reads the code of workflows built with LangGraph, CrewAI, n8n, OpenAI Agents or AutoGen. It lists the agents, tools and MCP servers it finds, maps tools to known vulnerabilities and writes an HTML report with findings tied to OWASP LLM and agentic threat lists. A separate test command sends simulated attacks for prompt injection, PII leakage, harmful content and fake news, but it supports only OpenAI Agents and needs an OpenAI or Azure OpenAI key. The README says static analysis runs locally. The last release is from November 2025. It analyzes workflow code, not live traffic.

This summary is our own wording of the sourced facts on this page.

Key facts

Each value links to the page that states it, with the date we checked it.

Ownership
Zscaler announced on November 3, 2025 that it has acquired SPLX, which publishes Agentic Radar. The repository README does not mention Zscaler. Source, checked October 21, 2026: zscaler.com (opens in a new tab)
API reference
Not documented in the sources we checked
Security page
Not documented in the sources we checked
Attestations or disclosure
Not documented in the sources we checked

Capabilities

As documented by the vendor or project. The tag is our label from a controlled vocabulary.

Integrations

Where Agentic Radar fits in our AI security layers

Our analysis

Our editorial model, not a standard. The primary layer follows the category, except for tools whose main documented job is detection and response; other layers rest on a capability the sources document. How the model works.

AI security layers that Agentic Radar covers, with the role, how each applies and what it rests on
LayerRoleHow it appliesBased on
L4 Testing Testing and red teaming Primary Attack and evaluate models, apps and agents on purpose, before release and after every change, to find what the other layers miss. Follows its category, AI red teaming & LLM evaluation

OWASP LLM Top 10 mapping

Our analysis

The risk list is OWASP's (Top 10 for LLM Applications, 2025). The mapping is our analysis, and each row rests on a capability the sources document.

OWASP LLM risks mapped to Agentic Radar, with the capabilities each mapping rests on
RiskHow it appliesBased on
LLM01 Prompt Injection The test command sends simulated prompt injection attacks to OpenAI Agents workflows. Its test command sends simulated prompt injection attacks to a workflow (OpenAI Agents only)
LLM02 Sensitive Information Disclosure The test command checks for PII leakage. Its test command checks for PII leakage
LLM09 Misinformation The test command checks for fake news generation. Its test command checks for fake news generation

Alternatives and related tools

More in AI red teaming & LLM evaluation, ranked within the category by Coverage Score.

garak

NVIDIA

Open sourceApache-2.0
  • CLI
  • Library
  • Self-hosted

Probes language models and LLM apps for prompt injection, jailbreaks, data leakage and more.

Best for: Teams that want a free command-line scanner they can point at any model or LLM endpoint before release

Coverage Score 82 out of 100
  • LLM01 Prompt Injection
  • LLM02 Sensitive Information Disclosure
  • LLM09 Misinformation

Reviewed

Giskard

Giskard AI

Open sourceApache-2.0 Freemium
  • Library
  • Self-hosted
  • SaaS
  • On-prem

Generates adversarial test suites for LLM agents and RAG apps, runs them and reports failures by threat type.

Best for: Python teams that want a free library to scan an LLM agent or RAG app for prompt injection and harmful output, and to write pass or fail checks for it

Coverage Score 81 out of 100
  • LLM01 Prompt Injection
  • LLM02 Sensitive Information Disclosure
  • LLM09 Misinformation

Reviewed

Promptfoo

OpenAI (Promptfoo)

Open sourceMIT Freemium
  • CLI
  • Library
  • Self-hosted
  • SaaS
  • On-prem

Runs evals and red team scans against LLM apps from a CLI or CI pipeline and writes a vulnerability report.

Best for: Developer teams that want one open-source CLI for both prompt evals and red teaming, run locally and in CI

Coverage Score 80 out of 100
  • LLM01 Prompt Injection
  • LLM02 Sensitive Information Disclosure
  • LLM09 Misinformation

Reviewed

Agentic Radar FAQ

Who owns Agentic Radar?

SPLX publishes it, and Zscaler announced on November 3, 2025 that it has acquired SPLX. The repository README does not mention Zscaler.

Which frameworks does it scan?

The README lists LangGraph, CrewAI, n8n, OpenAI Agents and AutoGen. The test command with simulated attacks supports only OpenAI Agents.

Does it send my prompts to an LLM?

The README says static analysis and vulnerability mapping run locally. The test command needs an OpenAI or Azure OpenAI key, and optional features such as prompt hardening may send prompts to an LLM.

Key facts you can cite

We have no commercial relationship with Zscaler (SPLX).

Sources & last reviewed

Last reviewed . We compile from the vendors' own public pages and repositories and we do not run the products. Source links open in a new tab. Found a mistake? Report a correction.