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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 IBM Operations Analytics?

IBM® Z® Operations Analytics is an advanced solution crafted to streamline the exploration, visualization, and examination of vast structured and unstructured operational datasets in IBM Z settings, which include log files, event logs, service requests, and performance indicators. Leveraging your analytics platform in conjunction with machine learning can significantly improve enterprise insights, allowing you to detect workload complications, reveal underlying challenges, and accelerate the process of root cause analysis. The integration of machine learning plays a crucial role in establishing a standard for normal system operations, which aids in the swift identification of operational irregularities. Moreover, it empowers you to recognize emerging issues across a range of services, facilitating timely alerts and cognitive adjustments to shifting circumstances. This robust tool provides expert guidance for corrective actions, thereby improving overall service reliability. It also assists in detecting unusual workload trends and brings to light frequent issues that might be hidden within operational data. Ultimately, it reduces the timeframe required for root cause analysis, effectively leveraging the rich domain expertise of IBM Z and applying its insights within your analytics strategy. As a result, organizations can cultivate a more agile and resilient operational landscape, enabling them to respond more adeptly to challenges. By fully utilizing these capabilities, businesses can not only enhance their operational efficiency but also foster innovation and adaptability in a rapidly changing environment.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

$1,200 per month
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Veriom

Date Founded

2024

Company Location

United Kingdom

Company Website

www.veriom.io

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/z-operations-analytics

Categories and Features

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