Cisco uses OpenAI models to defend networks at machine speed
Cisco is integrating OpenAI's frontier AI models into its security infrastructure to counter automated, machine-speed cyberattacks. According to Cisco's Patel, combining network telemetry with AI reasoning allows defenders to correlate signals at scale, identifying threats that might appear benign in isolation. This approach aims to narrow the gap between vulnerability discovery and patching,…
Key points
- Cisco integrates OpenAI models with network telemetry to correlate security signals at machine scale.
- Patel cites Daybreak and GPT-6 Astra as step-function improvements for vulnerability patching efficiency.
- OpenAI's zero data retention policy allows Cisco to deploy AI on mission-critical systems safely.
Cisco emphasizes that OpenAI's enterprise data privacy standards, including zero data retention and strict data boundaries, allow for the safe deployment of these models on mission-critical systems. The company describes initiatives like Daybreak and GPT-6 Astra as significant improvements to security posture for both Cisco and its customers. These tools are designed to fit into existing scanning workflows, reducing the need for fundamental changes to security teams' processes.
As AI agents become more autonomous, security teams face the challenge of distinguishing malicious attacks from unintended agent behavior. Patel outlines priorities to protect agents, detect anomalies, and operate in near real-time. Through the Daybreak Defense Network, Cisco and OpenAI are exploring ways to help security teams triage exposure faster and enforce controls via Cisco Cloud Control, aiming to shift the advantage back to defenders.
Model page: GPT-6 Astra →
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How Cisco defends at machine speed with OpenAI
OpenAI · 29 October 2026
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