Meta, Cisco put open-source LLMs at the core of next-gen SOC workflows
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Summary
Open source large language models (LLMs) are being used by startups and cybersecurity leaders to develop adaptive, cost-effective defences against cyberattacks, which are evolving faster than humans can respond to them.
At last week’s RSAC 2025 conference, Cisco, Meta, and ProjectDiscovery announced new open source LLMs and community-driven attack surface innovation, which define the future of open source in cybersecurity.
One key takeaway from the conference was the shift towards extending and strengthening infrastructure at scale.
Cisco’s Foundation AI group focuses on delivering domain-specific AI infrastructure tailored to cybersecurity applications, most of the work it does should be open to encourage innovation.
Cisco’s foundation-sec-8B LLM offers a new era of open source AI and was purpose-built to tackle complex cybersecurity tasks.
Meta expanded its AI Defenders suite to boost security across generative AI infrastructure, including a multimodal classifier and a real-time security framework for AI agent decision-making processes.
ProjectDiscovery’s Nuclei is a customizable open-source vulnerability scanner driven by a global community that rapidly identifies vulnerabilities.