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FrontierThe story, in brief

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.

Reporting by The Decoder 1 min brief
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The KeyNews take

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 know

  1. Cisco released two small, open-source cybersecurity AI models

  2. Models detect ~150x more vulnerabilities per dollar vs. large AI agents

  3. Direct performance comparison claimed against GPT-5.5 on vulnerability detection

  4. Models are open-source (lower barrier to adoption)

  5. Focus on cost-efficiency as core differentiation

  6. Published Jul 22, 2026 on The Decoder

Go to the source

The Decoderthe-decoder.com

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…
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