Google Mantis: an Agentic Vulnerability Scanning Harness for Reducing False Positives
CybersecurityComputer Science
THE AI ANGLE
Automating software vulnerability detection, reproduction, and patching via coordinated multi-agent workflowsGoogle has open-sourced Mantis, a modular multi-agent framework designed to automate the software vulnerability lifecycle from identification and sandboxed reproduction to patch generation. The harness specifically targets the high false-positive and hallucination rates of conventional AI code scanners by combining specialized critic, reviewer, and research agents with empirical sandbox execution.
THE TEACHING ANGLE
Students can examine why relying purely on LLM reasoning yields high false-positive rates in code analysis and explore how hybrid architectures—combining multi-agent evaluation, negative filters, and sandboxed reproduction—are required for reliable vulnerability verification.Read the original at infoq.com Generate teaching or study materials
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