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Description
Antares represents a suite of open-weight security small language models specifically designed to identify existing vulnerabilities within extensive codebases. With models like Antares-350M and Antares-1B, organizations can operate them locally or on-site, allowing for the protection of proprietary source code while also minimizing both inference costs and runtime. The process begins with a description of the vulnerability, an advisory, or a CWE category, where the model engages in a step-by-step investigation akin to that of a human analyst, systematically searching for pertinent code patterns, examining potential files, assimilating new information, and altering its approach when certain avenues prove unfruitful. This strategy enables the model to focus its efforts on the files that are most likely to harbor the identified weaknesses. Ultimately, Antares generates a prioritized list of potentially vulnerable source files along with the detailed exploration trail that led to these findings, facilitating easier review and prioritization for teams. Moreover, this capability not only streamlines the vulnerability assessment process but also enhances the overall security posture of the development environment.
Description
Veriom serves as a security intelligence framework designed for in-depth architectural root cause analysis throughout the entire Software Development Life Cycle (SDLC), highlighting issues such as misconfigured gateways, inadequate defaults, control deficiencies, and systemic vulnerabilities that can lead to hundreds of potential threats. Unlike traditional methods that solely identify known vulnerabilities, it analyzes the system's architecture to reveal risks arising from various components including code, cloud environments, CI/CD pipelines, production settings, trust boundaries, and delivery chains. Within less than an hour, Veriom constructs a comprehensive model of the actual environment, assesses its architecture, and confirms its findings, tracing each identified risk back to the specific control failure or architectural flaw responsible for its existence. By avoiding the pitfalls of endless patching cycles, fragmented tools, and superficial risk assessments, Veriom emphasizes understanding the root causes of vulnerabilities and demonstrates how addressing one structural issue can mitigate an entire category of risks. This proactive approach not only enhances security measures but also streamlines the overall development process for teams.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
GitHub
Google Cloud Platform
Google Sheets
Microsoft Azure
Integrations
Amazon Web Services (AWS)
GitHub
Google Cloud Platform
Google Sheets
Microsoft Azure
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$1,200 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Cisco
Founded
1984
Country
United States
Website
blogs.cisco.com/ai/introducing-antares-the-most-efficient-open-weight-ai-models-for-vulnerability-localization
Vendor Details
Company Name
Veriom
Founded
2024
Country
United Kingdom
Website
www.veriom.io