AIRTA Red Team vs RAMPART
AIRTA Red Team
airtasystems.comRAMPART
microsoft.github.ioSide by side
| Figure | AIRTA Red Team | RAMPART |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 2 | 0 |
| Spec score · AI Security Testing Tools | 9.0 (#1) | 7.3 (#21) |
| Intended users | The product page identifies red teams, whitehat testers and pentesters, and AppSec and MLsec teams as intended users. | The project describes its framework as a developer-friendly way to write and run safety and security tests for AI agents. |
| Purpose | AIRTA Red Team runs authorized adversarial security assessments against LLMs and LLM-driven applications. | RAMPART is a pytest-native safety testing framework for agentic AI applications. |
| Test workflow | The tool generates suites from security playbooks, discovers target components and authentication, runs attacks, assesses outcomes, and exports reports. | It orchestrates agent interactions, evaluates outcomes, and reports test results. |
Plans
In their own words
AIRTA Red Team
AIRTA Red Team is a self-hosted tool for authorized adversarial security assessments of LLMs and LLM-driven applications. It builds test suites from security playbooks, discovers target components and authentication, runs attacks, assesses outcomes, and exports reports. Listed playbooks include OWASP LLM, OWASP Agent, MITRE ATLAS, jailbreak, system prompt exfiltration, and custom scenarios. Strategies include zero-shot, multi-shot, few-shot, iterative, multimodal, jailbreak, and chain-of-thought testing. Targets can be reached through a Playwright browser runner or direct HTTP API transports, including file uploads and tool calls. It can run locally in Docker, behind a firewall, in CI, or against external endpoints for authorized black-box assessments. Runs record prompts, uploads, responses, and tool calls in attack_log.json; pipeline_report.json summarizes categories and severity. Results can be exported to AIRTA Systems for review and regression tracking. The free plan has no license fee or subscription, but users must supply an LLM API key. Assessments focus on observable runtime behavior, not source-code static analysis. The repository says the tool is deprecated and no longer maintained.
RAMPART
RAMPART has no write-up on Specifiction yet; its figures are above.