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RAMPART review

Free#27 of 29 in AI Security Testing Tools

A focused, open-source framework for testing agent behavior, tool calls, and prompt injection.

6.5/10Editor score
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

RAMPART is an open-source Python framework for testing the safety and security of agentic AI applications. It is designed for developers and engineering teams that build or validate AI agents, particularly teams already working with pytest. The framework supports tests for prompt injection, data leakage, unsafe outputs, and custom test cases across Windows, macOS, and Linux. Self-hosted deployment keeps the testing workflow within the team’s own environment.

Its strongest fit is the connection between agent-specific checks and familiar Python testing workflows. Pytest integration includes harm and trial markers, while custom agent adapters and observability profiles help connect different agent implementations. RAMPART can evaluate response text, tool calls, side effects, and LLM-judged conditions. Its XPIA testing targets indirect prompt injection through injected payloads from data sources such as documents, email, and file systems. Payload generation and converter extensions add room for tailored test inputs, while integrations with PyRIT and OneDrive extend its documented ecosystem.

For engineering-led CI workflows, structured JSON reporting and parallel execution with pytest-xdist are practical strengths. The trade-off is focus: RAMPART is strongest as a pytest-native framework for behavioral and agent interaction testing, rather than as a broad, turnkey security testing suite. Its documented scope centers on XPIA, behavioral probes, tool-call evaluation, side effects, and related custom checks, without a dedicated jailbreak-testing capability documented here. Choose RAMPART when your team wants open-source, self-hosted testing that can live alongside Python tests. Teams seeking broader verified attack coverage or a less engineering-dependent workflow should consider an alternative.

RAMPART pros and cons

  • Where it wins
    • Pytest markers support harm and trial testing workflows.
    • Evaluates responses, tool calls, side effects, and LLM-judged conditions.
    • Structured JSON reports and parallel pytest-xdist execution support CI workflows.
  • Where it doesn't
    • Self-hosted deployment requires an engineering-led setup.
    • Attack coverage is narrower than broader security testing platforms.
    • Its documented scope does not include dedicated jailbreak testing.

RAMPART fact sheet, pricing and score →

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