Secureito
Secureito is a data security and governance platform that helps organizations discover, classify, and protect sensitive data across cloud and on-premises environments. It uses AI and machine learning for automatic data discovery and classification.
data-security
data-governance
sensitive-data
ai
machine-learning
automatic-classification
Secureito: Data Security & Governance Platform
Discover, classify, protect sensitive data across cloud & on-premises environments with AI-powered security & governance solutions for organizations
What is Secureito?
Secureito is a comprehensive data security and governance platform designed to help organizations discover, classify, protect, and manage sensitive data across cloud, on-premises, and hybrid environments. Some key features of Secureito include:
- Automatic data discovery and classification using AI and machine learning. Secureito scans an organization's entire infrastructure to find sensitive data and classify it based on privacy regulations and business requirements.
- Data protection and encryption. Secureito offers granular policy-based encryption, masking, tokenization, and anonymization to secure sensitive data across the infrastructure.
- Data governance and compliance. Secureito provides integrated policy engines, retention rules, and workflow automation to enforce governance policies and ensure compliance with regulations such as GDPR, CCPA, HIPAA etc.
- Data auditing and forensics. Secureito maintains immutable logs and performs risk analyses to enable auditing and forensics in case of a security incident.
- Cloud security posture management. Secureito assesses the security risks associated with cloud services like S3, Azure etc. and provides recommendations for fixing misconfigurations.
Overall, Secureito is an AI-powered data security platform that goes beyond basic DLP to deliver integrated data protection, governance, and compliance capabilities for modern hybrid environments.
Secureito Features
Features
- Automatic data discovery and classification using AI/ML
- Data security and access controls
- Data governance and compliance enforcement
- Cloud and on-premises coverage
- Data lifecycle management
Pricing
- Subscription-Based
- Custom Pricing
Pros
Automates tedious data security tasks
Improves data visibility and control
Enables proactive data governance
Simplifies regulatory compliance
Works across hybrid environments
Cons
Can be complex to set up and configure
Requires training for maximum benefit
Not effective for unstructured data
Limited native integrations
Official Links
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