Cisco’s AI Shrinks Haystacks to Help Security Teams Hunt Needles
The small models run locally to keep proprietary code on-premises and scan 500 repositories in 15 minutes, Cisco said.
- Cisco released Antares-350M and Antares-1B, two security-focused small language models now available on Hugging Face to vetted users for identifying vulnerabilities in codebases.
- Antares employs a "fundamentally different approach" to scan codebases, Cisco VP and chief AI scientist Amin Karbasi explained, distinguishing it from general-purpose chatbots.
- Scans of 500 repositories take 15 minutes with Antares, Karbasi noted, compared to five hours for frontier models, while costs drop from over $100 to less than $1.
- Local execution ensures proprietary code remains on an organization's machines, DJ Sampath, Cisco's senior vice president and general manager of AI software and platform, noted, adding that "you also need the keys to the source code."
- Cisco is gating the Antares-3B model to ensure responsible access, as Karbasi confirmed the company will not release this iteration to the public.
21 Articles
21 Articles
Cisco’s tiny open-weight AI hunts bugs, beating Gemini
Cisco’s new Antares models are small enough to run on your own machines. And, it claims, they beat Google’s Gemini and rival GPT-class systems at finding bugs. It is releasing them open-weight, though it is vetting who gets access. The pitch from Cisco is a quiet rebuke to the frontier-model arms race. You do not […] This story continues at The Next Web
Cisco's Antares Models Challenge AI Giants in Hunt for Software Flaws
Cisco just put two small open-weight AI models on Hugging Face. They find vulnerable spots in massive codebases faster and cheaper than far larger systems from Google and OpenAI. The release marks a shift. Security teams no longer need to ship proprietary code to the cloud or burn huge budgets on frontier models for basic triage. The models, called Antares-350M and Antares-1B, come from Cisco’s Foundation AI team. A larger 3B version remains und…
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InfoWorldCisco’s AI shrinks haystacks to help security teams hunt needles
Cisco has revealed a family of open-weight AI models called Antares that, it said, can help security teams isolate potentially vulnerable parts of a software repository before deeper investigation begins. Rather than detecting a specific CVE or generating a patch, these models search a codebase using only a Common Weakness Enumeration (CWE) description and return the files most likely to contain that class of vulnerability. “Its purpose is to re…
Cisco's open-weight bug busters take on Google and OpenAI
Who needs expensive frontier models to find software vulns? Cisco has just released two open-weight models that specialize in finding known bugs in existing codebases. The models, Antares-350M and Antares-1B, are part of Cisco’s new Antares family of security small language models (SLMs), and are now available on Hugging Face - but only to vetted users. “We’re making sure we’re gating that and appropriately granting access,” DJ Sampath, Cisco's …
Cisco bets its small open cybersecurity models can outperform GPT-5.5 at vulnerability detection for a fraction of the cost
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 for a fraction of the cost appeared first on The Decoder.
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