Cisco bets its small open cybersecurity models can outperform GPT-5.5 at vulnerability detection for a fraction of the cost
150x more vulnerabilities per dollar. Cisco's open models just challenged GPT-5.5's dominance in security.
Why it matters
Cisco's small, open-source security models are reframing the efficiency equation in enterprise AI—proving that specialized, cost-effective models can outperform large closed models on domain-specific tasks, which has major implications for how enterprises think about AI tooling.
The key facts
6 to knowCisco released two small, open-source cybersecurity AI models
Models detect ~150x more vulnerabilities per dollar vs. large AI agents
Direct performance comparison claimed against GPT-5.5 on vulnerability detection
Models are open-source (lower barrier to adoption)
Focus on cost-efficiency as core differentiation
Published Jul 22, 2026 on The Decoder
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Publisher excerpt: Cisco has released two small, open-source AI models for cybersecurity that detect about 150 times more vulnerabilities per dollar than large AI agents, according to the company's own tests. The article Cisco bets its small open cybersecurity models can outperform GPT-5.5 at vulnerability detection…