Rogue
Rogue: A focused choice for automated, CI/CD-oriented testing of AI agents. Ranked #15 of 27 in AI Red Teaming Tools by our editors (7.8/10); pricing: Free plan · pricing on request; best for free CI/CD testing for AI agents.
At a glance
- Editor score7.8 / 10
- PricingFree plan · pricing on request
- Best forFree CI/CD testing for AI agents
- Free planYes
- Automation levelAutomated
- Facts checked21 Sep 2026
Where it wins
- Automated policy evaluation and adversarial red-team scans
- Supports A2A, MCP, and Python agents
- Reproducible runs with CVSS scoring and exportable reports
Where it doesn't
- Commercial hosting requires licensing
- Self-hosted deployment requires infrastructure management
- Paid pricing requires contacting sales
Our verdict on Rogue
Rogue is a self-hosted platform for evaluating and red-teaming AI agents. It is designed for teams that need automated checks against business policies, expected behaviors, and security vulnerabilities, particularly within CI/CD workflows. The product targets A2A, MCP, and Python agents, with integrations for OpenAI, Anthropic, and Google. Its focus is narrower than a general AI operations suite: Rogue concentrates on evaluation, adversarial testing, risk scoring, and reporting.
Its testing workflow covers basic, full, and custom scans, with attack categories including encoding, social engineering, injection, semantic, and technical attacks. Rogue can generate dynamic scenarios from business context, monitor agent conversations during evaluation, and assign CVSS-based risk scores. Reproducible scans using random seeds support repeatable assessment, while the command-line interface is oriented toward CI/CD use. Teams can export results in Markdown, CSV, and JSON, making the output suitable for review and downstream reporting.
The published offering includes a free option for personal and internal use, while commercial hosting requires licensing. The pricing model is contact sales rather than a set of public recurring tiers. Deployment is self-hosted, with an API and a terminal interface, so teams should account for operational ownership around their own environment. Rogue is a strong fit for organizations that want automated agent scans, policy evaluation, monitoring, and reproducible reports in development pipelines. Teams seeking vendor-hosted commercial deployment, broader application security coverage, or a simple no-infrastructure workflow should consider alternatives.
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Rogue pricing
Rogue fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Attack categories | Encoding; Social Engineering; Injection; Semantic; Technical |
| Target systems | A2A agents; MCP agents; Python agents |
| Automation level | Automated |
| Custom tests | Yes |
| Deployment | Self_hosted |
| Continuous monitoring | Yes |
| Report exports | Markdown; CSV; JSON |
| Deployment | Self-hosted |
| Compliance & security | GDPR |
| Support | Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 6 integrations: A2A, MCP, Python, OpenAI, Anthropic, Google |
| Pricing | Free plan · pricing on request |
| Website | github.com |
| Facts checked | 21 Sep 2026 |
Rogue integrations
Rogue lists 6 integrations on its own site.
- A2A
- MCP
- Python
- OpenAI
- Anthropic
Alternatives to Rogue
- AgentSealContinuous AI red teaming across agents, MCP, RAG, prompts, and multimodal systems.9.4
- PromptfooA broad open-source choice for evaluating and red-teaming AI applications.9.3
- ProofLayerA focused platform for automated, continuous testing of agents, MCP servers, and LLM applications.9.1
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Featured on iTechGuides
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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