Contributor
AI SecurityAASTF
AI SecurityOpen SourceContributor

AASTF

Agentic AI Security Testing Framework — attacks the agent system, not just the model.

Year2026
RoleOpen Source Contributor
LicenseOpen Source

Overview

AASTF tests the full agent execution graph — the LLM plus its tools, memory, and planning loop — against the OWASP Top 10 for Agentic Applications. It intercepts every tool call and planning iteration mid-flight, injects adversarial payloads from 130+ built-in attack scenarios, and produces VULNERABLE / REFUSAL_ECHO / SAFE verdicts with evidence, SARIF output, and CI/CD gating. I contributed new framework adapters and bug fixes to the project.

Highlights

130+ OWASP ASI Attack Scenarios
Tool-call Interception via LangGraph
Three-class Verdicts incl. REFUSAL_ECHO
SARIF Reports for GitHub Security Tab

Tech Stack

Python LangGraph OWASP ASI
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