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Securiti
Categories: Cybersecurity, Data Analysis, Automation / Agents |
Pricing: Enterprise |
Official Website ↗
Securiti provides a unified platform for data and AI security, governance, privacy, and compliance across hybrid multicloud environments.
Securiti offers a Data Command Center platform that integrates data and AI intelligence, controls, and orchestration. It helps organizations manage data security posture, detect and protect AI systems, and automate data privacy operations. The platform is built on a Data Command Graph, which captures contextual information for data and AI objects.
The platform addresses various functions for different enterprise teams, including Data+AI Security, Data+AI, Data Governance, and Data Privacy. It provides solutions for securing sensitive data, building safe enterprise AI systems, governing data for safe innovation, and automating data privacy operations. Securiti supports compliance with global regulations and frameworks like GDPR, CPRA, and the EU AI Act, and integrates with over 1000 data systems across major cloud providers.
Key Features
- Data Security Posture Management (DSPM)
- Agent Commander for AI risk detection and protection
- Security for AI Agents and Copilots
- Data Minimization automation
- Data Discovery & Classification
- Compliance Management
- Breach Impact Analysis & notification automation
- Data Flow Governance
Pros
- Provides a unified platform for data and AI security, privacy, governance, and compliance.
- Offers extensive integrations with over 1000 data systems across hybrid multicloud environments.
- Automates critical data privacy operations like DSRs, assessments, and consent management.
- Includes specialized tools for AI security, such as Agent Commander and LLM Firewalls.
- Supports compliance with numerous global privacy regulations and industry frameworks.
Cons
- Pricing is not transparent and requires a personalized quote.
- The platform's complexity may require significant implementation and training for new users.
- Focuses heavily on enterprise-level solutions, potentially less suitable for smaller organizations.
- Specific details on API availability and free trial are not readily available.
- Requires integration with existing data systems, which can be a complex process.
Use Cases
- Securing sensitive data across hybrid multicloud and SaaS environments
- Detecting and mitigating risks associated with AI agents and copilots
- Automating data minimization processes to reduce cost and risk
- Ensuring compliance with data privacy regulations like GDPR and CPRA
- Governing unstructured data for safe use with generative AI
- Implementing rule-aware AI copilots across organizational data
Best For
- Large enterprises
- Organizations with hybrid multicloud data environments
- Companies adopting AI agents and copilots
- Teams managing data security, privacy, governance, and compliance
- Businesses needing to comply with global data regulations
Integrations: GCP, AWS, Databricks, Snowflake, Azure, Veeam
Platforms: Web
Watch demo on YouTube ↗
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