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Security Agent Economics

1 post · Aug 2026

What this trail covers

The platform continues to evolve its capabilities for building and deploying AI agents, with a new focus on optimizing the economics of security-focused agents. This includes evaluating and integrating models that demonstrate strong performance on adversarial security tasks while maintaining cost-efficiency, addressing the challenges of high-volume security workloads.

All Fireworks AI trails
  1. Fireworks AIThis post introduces an evaluation framework (CyberGym) for assessing AI models on security agent tasks, focusing on adversarial scenarios, real vulnerabilities, and cost-effectiveness. It highlights DeepSeek V4 Pro's performance, noting zero refusals and a significantly lower cost per solved vulnerability compared to leading closed-source models like GPT-5.5 and Claude Opus 4.8. The analysis provides detailed metrics on reward rate, cost per task, and cost per reward, demonstrating the viability of open-source models for high-volume security operations and identifying areas for prompt-engineering improvements.