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Founder's Pitch
"Develop a multi-agent system for zero-shot vulnerability detection surpassing fine-tuned models in recall."
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Why It Matters
Vulnerability detection systems that operate without extensive fine-tuning or labeled data reduce the cost and complexity of securing software, critical in fast-paced development environments.
Product Angle
Package MULTIVER as a security-as-a-service offering that integrates into existing CI/CD pipelines, providing real-time vulnerability analysis and reporting.
Disruption
Replaces the need for extensive labeled training data and complex fine-tuning in existing vulnerability detection methods, making security analysis more accessible and affordable.
Product Opportunity
The cybersecurity market, particularly within software development, where a robust security layer can prevent costly breaches and application downtime. Businesses pay for effective security solutions that lower the risk of software vulnerabilities.
Use Case Idea
Use MULTIVER as a security audit tool within software development pipelines, especially for companies that cannot afford extensive training data or systems.
Science
The paper introduces MULTIVER, a multi-agent system that uses a zero-shot approach involving multiple specialized agents (security, correctness, performance, style) working in parallel and combining their outputs through ensemble voting. This allows detection of software vulnerabilities across multiple dimensions without the need for labeled training data, achieving high recall by leveraging union voting that maximizes detection at the cost of increased false positives.
Method & Eval
The method was tested on benchmarks like PyVul and SecurityEval, achieving 82.7% recall on PyVul, surpassing fine-tuned models like GPT-3.5 in recall. Ablation studies showed that each agent contributed significantly to the recall, and retrieval augmentation added precision.
Caveats
High false positive rate (85% FPR) which could lead to excess manual reviews and decreased efficiency in a production setting. The system is costly per sample and not suitable for real-time CI/CD gating.
Author Intelligence
Shreshth Rajan
LEAD Harvard College, Cambridge, MA, USA
shreshthrajan@college.harvard.edu