Traceable AI vs Zenity Detailed comparison features, price

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.

Zenity

Zenity offers an agent-less SaaS platform specifically designed to secure AI agents from buildtime to runtime. The platform provides comprehensive visibility and control over AI behavior, addressing critical security challenges in enterprise environments where AI agents are increasingly connected to corporate data and business applications.

The platform excels at detecting and responding to various threats including prompt injection attacks, least privilege violations, and hidden instructions while implementing AI Security Posture Management (AISPM) controls. Notable achievements include helping organizations remediate 90% of vulnerabilities within four months and achieving an 80% risk reduction across large-scale enterprise deployments.

Traceable AI

Pricing

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Zenity

Pricing

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Traceable AI

Features

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

Zenity

Features

AI Agent Profiling: Observes and profiles all AI agents across the enterprise
Threat Detection: Identifies direct and indirect prompt injection attacks, least privilege violations
Runtime Security: Implements comprehensive runtime inspection and protection
Compliance Management: Monitors and controls sensitive data access and sharing
Business Continuity Controls: Manages unattended AI agents and prevents disruptions

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

Zenity

Use cases

Enterprise AI security management
Compliance monitoring for AI systems
Business continuity protection
Security posture management
Risk assessment and mitigation
Data leak prevention

Traceable AI

FAQs

How does Traceable AI handle generative AI security?

Traceable AI provides specialized protection against security risks associated with generative AI, including shadow AI and sensitive data loss, while addressing vulnerabilities listed in the OWASP LLM Top 10.

What types of threats can Traceable AI detect?

Traceable AI can detect business logic abuse, OWASP Top 10 vulnerabilities, zero-day attacks, fraudulent activities, and behavioral anomalies through its AI/ML-powered contextual analysis.

How does the API Security Data Lake work?

The API Security Data Lake stores and continuously correlates API transactions to provide a full contextual understanding of APIs and attacks, enabling comprehensive security analysis and threat detection.

Zenity

FAQs

How many vulnerabilities can Zenity help mitigate?

According to customer data, a single customer was able to mitigate 80,000 vulnerabilities within 3 months of deploying Zenity.

What percentage of AI agents typically have security violations?

62.1% of agents and apps have at least one security violation that results in over-exposure to bad actors.

How many agents does an average enterprise have?

The average enterprise has over 80,000 agents, apps, and automations built using low-code/no-code platforms and outside the SDLC.