Statice Description
Statice is a data anonymization tool that draws on the most recent data privacy research. It processes sensitive data to create anonymous synthetic datasets that retain all the statistical properties of the original data.
Statice's solution was designed for enterprise environments that are flexible and secure. It incorporates features that guarantee privacy and utility of data while maintaining usability.
Statice Alternatives
Feroot Security is a global leader in AI-powered website and web application compliance and security. Feroot AI protects digital experiences from hidden threats while continuously enforcing compliance with PCI DSS 4.0.1, HIPAA rules on online tracking technologies, CCPA/CPRA, GDPR, CIPA, and over 50 global laws and standards.
The Feroot AI Platform replaces manual compliance work and operational overhead with continuous automation. What once required months of effort across security, engineering, and legal teams can now be deployed in minutes, delivering real-time protection and audit-ready evidence.
Feroot unifies critical capabilities into a single platform, including JavaScript behavior analysis, web compliance scanning, third-party script monitoring, consent enforcement, and data privacy posture management. It is purpose-built to detect and stop web-based threats such as Magecart, formjacking, e-skimming, and unauthorized tracking on high-risk assets like payment pages, login flows, iframes, and healthcare portals.
Trusted by Fortune 500 enterprises, healthcare providers, retailers, SaaS platforms, utilities, payment service providers, universities, and public sector organizations, Feroot safeguards hundreds of millions of users worldwide.
Feroot AI solutions include PaymentGuard AI, HealthData Shield AI, AlphaPrivacy AI, CodeGuard AI, and MobileGuard AI.
Visit feroot for more information.
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Windocks provides on-demand Oracle, SQL Server, as well as other databases that can be customized for Dev, Test, Reporting, ML, DevOps, and DevOps. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Databases can be delivered to conventional instances, Kubernetes or Docker containers.
Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. When combined with Docker containers, enterprises often see a 5:1 reduction of lower-level database VMs.
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IRI FieldShield
IRI FieldShield® is a powerful and affordable data discovery and de-identification package for masking PII, PHI, PAN and other sensitive data in structured and semi-structured sources. Front-ended in a free Eclipse-based design environment, FieldShield jobs classify, profile, scan, and de-identify data at rest (static masking). Use the FieldShield SDK or proxy-based application to secure data in motion (dynamic data masking).
The usual method for masking RDB and other flat files (CSV, Excel, LDIF, COBOL, etc.) is to classify it centrally, search for it globally, and automatically mask it in a consistent way using encryption, pseudonymization, redaction or other functions to preserve realism and referential integrity in production or test environments.
Use FieldShield to make test data, nullify breaches, or comply with GDPR. HIPAA. PCI, PDPA, PCI-DSS and other laws. Audit through machine- and human-readable search reports, job logs and re-ID risks scores. Optionally mask data when you map it; FieldShield functions can also run in IRI Voracity ETL and federation, migration, replication, subsetting, and analytic jobs. To mask DB clones run FieldShield in Windocks, Actifio or Commvault. Call it from CI/CD pipelines and apps.
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IRI Voracity
IRI Voracity is an end-to-end software platform for fast, affordable, and ergonomic data lifecycle management. Voracity speeds, consolidates, and often combines the key activities of data discovery, integration, migration, governance, and analytics in a single pane of glass, built on Eclipse™.
Through its revolutionary convergence of capability and its wide range of job design and runtime options, Voracity bends the multi-tool cost, difficulty, and risk curves away from megavendor ETL packages, disjointed Apache projects, and specialized software. Voracity uniquely delivers the ability to perform data:
* profiling and classification
* searching and risk-scoring
* integration and federation
* migration and replication
* cleansing and enrichment
* validation and unification
* masking and encryption
* reporting and wrangling
* subsetting and testing
Voracity runs on-premise, or in the cloud, on physical or virtual machines, and its runtimes can also be containerized or called from real-time applications or batch jobs.
Learn more
Pricing
Pricing Starts At:
3,990€/month
Pricing Information:
See pricing page on our website for details.
Free Trial:
Yes
Integrations
API:
Yes, Statice has an API
No Integrations at this time
Company Details
Company:
Statice
Year Founded:
2018
Headquarters:
Germany
Website:
www.statice.ai/
Media
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Product Details
Platforms
Web-Based
Windows
Mac
Linux
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Training Videos
Customer Support
Business Hours
Online Support
Statice Features and Options
Data Analysis Software
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Security Software
Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance
GDPR Compliance Software
Access Control
Consent Management
Data Mapping
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification
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