AI/ML

Cisco, Meta push open-source AI for cybersecurity

(Adobe Stock)

Open-source large language models are rapidly redefining cybersecurity as startups and tech giants leverage their speed and adaptability to counteract machine-speed threats, VentureBeat reports.

At RSAC 2025, Cisco, Meta, and ProjectDiscovery revealed significant open-source initiatives that signal a collective push toward unified and community-driven security infrastructures. Cisco unveiled Foundation-sec-8B, an 8-billion-parameter LLM built for cybersecurity, trained on curated threat datasets and released under the Apache 2.0 license for flexible enterprise use. “These are real-life examples,” Cisco’s Jeetu Patel said, stressing collaboration over competition. Meta expanded its AI Defenders Suite with Llama Guard 4 and LlamaFirewall to detect policy violations, prompt injections, and agent misalignments. Its new benchmark suite, CyberSec Eval 4, tests AI performance in real-world SOC conditions. Meanwhile, ProjectDiscovery’s open-source vulnerability scanner, Nuclei, earned the “Most Innovative Startup” award for its community-driven model and rapid CVE detection capabilities. Together, these developments emphasize how open-source LLMs are becoming essential infrastructure for scalable, cost-effective, and highly specialized cybersecurity defenses.

An In-Depth Guide to AI

Get essential knowledge and practical strategies to use AI to better your security program.

Get daily email updates

SC Media's daily must-read of the most current and pressing daily news

By clicking the Subscribe button below, you agree to SC Media Terms of Use and Privacy Policy.

You can skip this ad in 5 seconds