DeepSentinel vs AI Safeguard Detailed comparison features, price

DeepSentinel

DeepSentinel provides a comprehensive platform designed to secure and manage Artificial Intelligence (AI) workflows. It focuses on delivering robust security measures, ensuring compliance with various regulations, and maintaining seamless performance for AI operations. The platform offers real-time threat detection for data transactions, enabling users to identify and address potential attacks proactively, thereby reducing operational risks before they escalate.

The service emphasizes granular control over AI workflows through customizable policies, ensuring both security and operational efficiency. DeepSentinel incorporates advanced input and output scanning to protect sensitive data, prevent threats, and facilitate compliant AI experiences. Its infrastructure is built for scalability, allowing businesses to grow while maintaining high security standards, including role-based access control (RBAC). The platform also supports integration with existing AI and cloud systems via APIs for smooth implementation.

AI Safeguard

AI Safeguard is an innovative SaaS platform designed to protect sensitive information while organizations leverage AI technologies. It focuses on preventing data leakage risks associated with using AI tools, ensuring data remains secure and compliant.

The core component is an intelligent Chrome Extension that seamlessly integrates into user workflows. Before submitting any input to compatible AI tools, the extension scans the text for sensitive information. Using advanced masking capabilities based on configurable rules, it automatically replaces potentially harmful data, safeguarding user privacy and company information effortlessly. Complementing the extension is a robust Admin Backend, providing administrators with comprehensive security management tools. This dashboard allows for easy user management, access control, policy editing, and detailed logging to monitor user interactions and ensure compliance.

Pricing

DeepSentinel Pricing

Contact for Pricing

DeepSentinel offers Contact for Pricing pricing .

AI Safeguard Pricing

Paid

From $13

AI Safeguard offers Paid pricing with plans starting from $13 per month .

Features

DeepSentinel

Real-time threat monitoring: Detect attacks and protect data before they become issues with instant visibility on suspicious activities.
Granular Control: Maintain visibility and control over AI workflows with customizable security policies.
Advanced Data Protection: Utilizes input and output scanning to protect sensitive data and prevent threats.
AI-Powered Compliance Monitoring: Scans and verifies compliance with regulations like GDPR, HIPAA, SOC 2.
API & Workflow Integration: Facilitates easy integration with existing AI and cloud platforms via APIs.
Security & Scalability: Offers a robust, scalable infrastructure with advanced RBAC for secure growth.

AI Safeguard

Intelligent Chrome Extension: Scans and masks sensitive data in user input before submission to AI tools.
Advanced Data Masking: Replaces potentially harmful data based on configurable rules.
Admin Backend: Centralized platform for managing security.
User Management: Control user access and permissions.
Policy Control: Define and manage security rules for data masking.
Detailed Logs & Reporting: Track user interactions and compliance via a comprehensive dashboard.
Instant Policy Violation Alerts: Notifies admins upon attempts to submit prompts violating policies.
Seamless Integration: Easily incorporates into existing workflows without disruption.

Use Cases

DeepSentinel Use Cases

Securing AI workflows in financial institutions.
Ensuring regulatory compliance (GDPR, HIPAA, SOC 2) for AI applications.
Protecting sensitive data processed by AI models.
Monitoring AI data transactions for threats in real-time.
Integrating security layers into existing AI and cloud infrastructures.

AI Safeguard Use Cases

Preventing sensitive data leakage when using third-party AI tools.
Ensuring compliance with data privacy regulations during AI interactions.
Securing internal workflows involving AI prompt submissions.
Managing user access and security policies for AI tool usage within an organization.
Monitoring AI tool usage and potential policy violations.