Traceable AI
VS
DeepSentinel
Traceable AI
Traceable AI is an advanced API security platform that leverages artificial intelligence and machine learning to protect organizations' API ecosystems. The platform captures, correlates, and analyzes all API-related activity across an organization's entire infrastructure, providing comprehensive security coverage from discovery to protection.
The platform stands out through its unique data advantage, offering contextual API security through a purpose-built API security data lake that continuously correlates transactions and provides full contextual understanding of APIs and potential attacks. Its AI/ML capabilities analyze context to detect anomalies, uncover vulnerabilities, reveal threats, and provide actionable insights to reduce security risks.
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
Traceable AI Pricing
Traceable AI offers Contact for Pricing pricing .
DeepSentinel Pricing
DeepSentinel offers Contact for Pricing pricing .
Features
Traceable AI
- API Discovery: Complete visibility and cataloging of entire API ecosystem
- Threat Detection: AI-powered identification of behavioral anomalies and threats
- Attack Protection: Prevention of sensitive data disclosure and malicious activities
- Fraud & Bot Security: Real-time fraud detection and prevention
- API Security Testing: Context-aware vulnerability discovery and testing
- Security Data Lake: Purpose-built storage for API security data correlation
- Contextual Analysis: AI/ML-powered analysis for threat detection and insights
- Gen AI Security: Specialized protection for generative AI implementations
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.
Use Cases
Traceable AI Use Cases
- API Discovery and Cataloging
- Security Testing
- Sensitive Data Protection
- Account Takeover Prevention
- Bot Mitigation
- Incident Response
- Data Privacy Compliance
- Fraud Ring Detection
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.
Uptime Monitor
Uptime Monitor
Average Uptime
99.92%
Average Response Time
315.3 ms
Last 30 Days
Uptime Monitor
Average Uptime
99.93%
Average Response Time
2574.07 ms
Last 30 Days
Traceable AI
DeepSentinel
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