AntaresCisco
|
||||||
Related Products
|
||||||
About
Antares is a family of open-weight security small language models purpose-built to localize known vulnerabilities inside large codebases. Antares-350M and Antares-1B are compact enough to run locally or on premises, helping teams keep proprietary source code inside their environment while reducing inference cost and runtime. Starting from a vulnerability description, advisory, or CWE category, the model follows an iterative investigation process similar to a human analyst, it searches for relevant code patterns, reads candidate files, incorporates new evidence, changes direction when a path is unproductive, and narrows the search to the files most likely to contain the weakness. Antares returns a ranked list of potentially vulnerable source files together with the terminal exploration trace that produced the result, making findings easier to review and prioritize.
|
About
Continuously identify and fix vulnerabilities in AI data, models, and application usage with IBM Guardium AI Security. Get automated and continuous monitoring for AI deployments. Detect security vulnerabilities and misconfiguration. Manage security interactions between users, models, data, and applications. This is part of the IBM Guardium Data Security Center, which empowers security and AI teams to collaborate across the organization through integrated workflows, a common view of data assets, and centralized compliance policies. Guardium AI Security reveals the AI model associated with each deployment. It uncovers each AI deployment’s data, model, and application usage. You’ll also see all the applications accessing the model. You can view the vulnerabilities in your model, its underlying data, and the applications accessing it. Each vulnerability is assigned a criticality score so you can prioritize your next steps. You can quickly export the list of vulnerabilities for reporting.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
University cybersecurity labs that need efficient, locally deployable models for locating vulnerabilities in sensitive codebases
|
Audience
Teams in search of a tool to manage and secure their AI data and AI models
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationCisco
Founded: 1984
United States
blogs.cisco.com/ai/introducing-antares-the-most-efficient-open-weight-ai-models-for-vulnerability-localization
|
Company InformationIBM
Founded: 1911
United States
www.ibm.com/products/guardium-ai-security
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
|
|||||
Categories |
Categories |
|||||
Integrations
Azure Marketplace
IBM Guardium
|
||||||
|
|
|