Breaking

Cisco Releases Open-Weight 'Antares' Small AI Models for Detecting Software Vulnerabilities

July 21, 2026 at 09:14 EDT

Security
Open Source
Foundation Models

Cisco has unveiled Antares, a family of small, security-specialized AI models designed to hunt for software vulnerabilities at a fraction of the cost and time of large general-purpose systems, releasing two of them as open-weight downloads for vetted defenders. The move underscores a growing industry bet that compact, domain-focused models can outperform sprawling frontier systems on narrow, high-value security tasks.

Cybersecurity AI · Cisco

Cisco Bets Small: Antares Models Hunt Bugs Faster and Cheaper

A family of compact, security-specialized AI models built to probe code for vulnerabilities — matching frontier-scale systems while running locally and keeping proprietary source code in-house.

15 min

to scan ~500 repositories with Antares

< $1

cost per full scan of that same set

350M–1B

open-weight params, for vetted defenders

Scanning ~500 repositories

Cost, drawn to scale: Antares vs GPT-5.5

~15 min

< $1

Antares

~5 hours

> $100

GPT-5.5

100×+ cheaper and ~20× faster — at accuracy Cisco claims is on par with GPT-5.5 and GLM-5.2.

How Antares hunts, like a researcher

Explore the codebase

→

Inspect likely-vulnerable files

→

Change direction on dead ends

→

Narrow to the bug

Why defenders like it

Runs locally — no shipping proprietary code to an external provider
Low-cost, repeatable scans across many repositories

Open questions

Downloads limited to Cisco-vetted defenders
Stronger 3B model kept private for Cisco products
No independent benchmarks or real-world false-positive rates yet

The wager: for narrow, high-value security tasks, small specialized models can rival frontier systems at a fraction of the cost.

Released with U.S. government coordination and download screening to keep the models out of adversaries' hands — with an industry consortium under consideration.

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