Protect AI vs DeepSentinel Detailed comparison features, price

Protect AI

Protect AI provides a comprehensive platform for securing Artificial Intelligence. It enables Application Security and ML teams with end-to-end visibility, remediation, and governance capabilities, crucial for maintaining the security of AI systems and applications against unique vulnerabilities.

The platform supports organizations whether they are fine-tuning existing Generative AI foundational models, developing custom models, or deploying LLM applications. Protect AI's AI-SPM platform facilitates a security-first approach to AI, ensuring comprehensive protection across the entire AI lifecycle.

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.

Pricing

Protect AI Pricing

Contact for Pricing

Protect AI offers Contact for Pricing pricing .

DeepSentinel Pricing

Contact for Pricing

DeepSentinel offers Contact for Pricing pricing .

Features

Protect AI

Guardian: Enable enterprise-level scanning, enforcement, and management of model security to block unsafe models.
Layer: Provides granular LLM runtime security insights and tools for detection and response to prevent unauthorized data access.
Recon: Automated GenAI red teaming to identify potential vulnerabilities in LLMs.
Radar: AI risk assessment and management to detect and mitigate risks in AI systems.

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.