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What is Veriom?

Veriom is a security intelligence framework tailored for detailed architectural root cause analysis across the entire Software Development Life Cycle (SDLC), bringing to light challenges such as misconfigured gateways, poor defaults, control weaknesses, and overarching vulnerabilities that could result in numerous potential threats. Unlike conventional approaches that only pinpoint known vulnerabilities, it delves into the architecture of the system to uncover risks stemming from a variety of elements, including code, cloud infrastructures, CI/CD pipelines, live environments, trust boundaries, and supply chains. In under an hour, Veriom generates a thorough model of the actual environment, evaluates its architecture, and validates its findings by tracing every identified risk back to the particular control failure or design flaw that caused it. By steering clear of the traps associated with unending patching cycles, disjointed tools, and surface-level risk evaluations, Veriom focuses on comprehending the fundamental causes of vulnerabilities and illustrates how rectifying a single structural issue can reduce an entire category of risks. This forward-thinking methodology not only strengthens security protocols but also simplifies the overall development workflow for teams, ensuring a more efficient and secure software delivery process. Ultimately, Veriom empowers organizations to take a more strategic approach to their security posture, leading to lasting improvements in both safety and productivity.

What is Antares?

Antares is a collection of open-weight security small language models crafted to detect vulnerabilities within large codebases. Featuring models such as Antares-350M and Antares-1B, these tools can be deployed locally or on-site, ensuring that proprietary source code remains secure while also reducing both inference expenses and runtime. The procedure starts with an outline of the vulnerability, which may include an advisory or a CWE category; from there, the model embarks on a detailed investigation similar to that of a human analyst, methodically looking for relevant code patterns, scrutinizing possible files, integrating new data, and adjusting its strategy when certain paths appear unproductive. This method allows the model to concentrate its resources on the files most likely to contain the identified flaws. In the end, Antares produces a prioritized list of source files that may be vulnerable, accompanied by a comprehensive trail of the exploration process that led to these conclusions, thereby simplifying the review and prioritization for teams. Furthermore, this functionality not only accelerates the vulnerability assessment process but also significantly strengthens the overall security framework of the development environment, fostering a culture of proactive security measures. Ultimately, organizations can benefit from improved efficiency and effectiveness in managing their code vulnerabilities.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
GitHub
Google Cloud Platform
Google Sheets
Microsoft Azure

Integrations Supported

API Availability

API Availability

Pricing Information

$1,200 per month

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Veriom

Date Founded

2024

Company Location

United Kingdom

Company Website

www.veriom.io

Company Facts

Organization Name

Cisco

Date Founded

1984

Company Location

United States

Company Website

blogs.cisco.com/ai/introducing-antares-the-most-efficient-open-weight-ai-models-for-vulnerability-localization

Categories and Features

Root Cause Analysis

Not specified

Categories and Features

AI Models

Not specified

AI Security

Not specified

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