Evaluation & Testing

Agentic Radar

A security scanner for your LLM agentic workflows

Status
Generally available
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Agentic Radar is a Python-based tool designed to enhance the security of large language model (LLM) workflows. It focuses on identifying vulnerabilities in agentic AI systems, particularly in red teaming and DevSecOps contexts. The tool is open-source, licensed under Apache-2.0, and supports integration with various security tools. With a focus on AI security, it helps developers and security teams to proactively manage risks associated with generative AI and LLM deployments.

Focus on LLM and agentic AI security

When it fits — and when it doesn’t

A good fit for

  • Security teams focusing on AI

    Provides specialized tools for identifying AI-specific vulnerabilities.

  • Organizations implementing DevSecOps

    Integrates well into DevSecOps pipelines for continuous security assessment.

Look elsewhere if

  • Non-Python development environments

    Primarily supports Python, limiting use in other language ecosystems.

  • Teams needing mature, feature-rich tools

    As an emerging tool, it may lack some advanced capabilities.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Emerging maturity

    Created in 2025 with 8 contributors

  2. 02

    Potential for high open issues

    15 open issues on GitHub

What it does well

  • Open-source with active community

    1045 stars and 145 forks on GitHub

  • Specialized in AI security

    Focus on LLM and agentic AI security topics

  • Comprehensive CLI support

    Listed under 'cli' in GitHub topics

Pricing

Free tier
YesFull functionality with community support
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing last confirmed Oct 2, 2026.

Performance benchmarks

How Fast Is It?

Set up Agentic Radar

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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