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Description
Fig enhances Security Operations Resilience for contemporary SOC teams, empowering them to endure transformations without succumbing to disruptions. While change can jeopardize a SOC's functionality, it can also serve as a source of strength, and Fig ensures that both detection and response mechanisms remain operational during instances of drift and intentional modifications. Drift occurs when alterations from upstream sources inadvertently disrupt detection protocols and automations, leaving teams without alerts or guidance and potentially facing lengthy and arduous processes to identify and rectify issues. In addition, planned changes, such as enhancements in SecOps and infrastructure initiatives, often progress at a cautious pace to prevent any adverse effects on production systems. To address these challenges, Fig equips teams with drift detection tools that identify when a detection or response fails, drift repair capabilities that pinpoint the underlying cause, recommend solutions, conduct tests, and facilitate deployment upon approval, along with change modeling features that allow teams to simulate proposed initiatives and evaluate their potential consequences prior to implementation in production. This comprehensive approach ensures that SOC teams can navigate the complexities of change with confidence and efficiency.
Description
SPC stands for “Statistical Process Control,” a method that has gained significant traction since the mid-1980s, particularly within the American automotive sector. In French, this technique is referred to as “Contrôle Statistique des Processus” (SPM). The primary aim of SPC is to minimize scrap and rework rates through effective quality control of ongoing production, coupled with sampling methods, thereby anticipating issues related to non-quality. Utilizing SPC software allows for the real-time monitoring of processes and sends alerts if control limits are breached. © Infodream. Among the notifications generated are warnings about overruns of control limits, which are more stringent than tolerance limits, as well as indications of trends that suggest process degradation. This proactive approach enables manufacturers to address potential quality issues before producing defective parts. Importantly, this technique is versatile and can be applied to various manufacturing processes, whether producing in small batches or large volumes, and regardless of whether 100% inspection or sampling is employed. Ultimately, SPC contributes to maintaining high-quality standards in production.
API Access
Has API
API Access
Has API
Integrations
Amazon S3
CrowdStrike Falcon
Databricks
Elasticsearch
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Fig
Founded
2025
Country
United States
Website
www.fig.security/
Vendor Details
Company Name
INFODREAM
Country
France
Website
www.infodreamgroup.fr/tag/spc-vision/
Product Features
Product Features
SPC
Corrective Actions (CAPA)
Data Entry
Data Linking
Data Management
Excel Loader
Job Management
OPC Data Collection
Performance Metrics
Point-of-Production Analysis
Real Time Data Collection
Regulatory Compliance
