CalypsoAI favicon CalypsoAI VS Repello AI favicon Repello AI

CalypsoAI

CalypsoAI provides a comprehensive security platform designed to address the unique challenges of AI integration. The platform, known as Inference, offers centralized controls and is model/vendor agnostic, ensuring compatibility across various AI systems. It is built with an API-first approach, enabling seamless scaling and integration with existing SIEM/SOAR systems.

CalypsoAI's Inference Platform addresses challenges at every stage of the AI lifecycle, from use case selection and development to production. It allows cybersecurity and AI teams to proactively manage and mitigate risks associated with AI deployment.

Repello AI

Repello AI offers a comprehensive solution designed to secure Generative AI (GenAI) applications against evolving cyber threats. It functions by continuously identifying, measuring, and mitigating risks associated with GenAI, such as prompt injection, jailbreak attempts, brand reputation damage, and inappropriate content generation. The platform provides ongoing monitoring and automated AI red-teaming capabilities to test AI applications from an attacker's perspective, without needing access to underlying algorithms or code (blackbox testing).

By integrating directly into CI/CD pipelines, Repello AI enables early vulnerability detection and remediation, ensuring secure deployments. It delivers comprehensive reports detailing vulnerabilities, failure modes, and actionable mitigation strategies, benchmarked against global AI security and safety standards. The service is model-agnostic, supports multimodality (text, image, audio, video), and is tailored to specific business use cases through context-aware technology, helping AI teams innovate confidently while staying ahead of potential exploits.

Pricing

CalypsoAI Pricing

Contact for Pricing

CalypsoAI offers Contact for Pricing pricing .

Repello AI Pricing

Contact for Pricing

Repello AI offers Contact for Pricing pricing .

Features

CalypsoAI

  • Inference Red-Team: Proactive, agentic red-teaming to find and fix vulnerabilities.
  • Inference Defend: Real-time adaptive protection that evolves as fast as AI does.
  • Inference Observe: Centralized oversight and traceability across every AI interaction.
  • Centralized Controls: Unified management of AI security.
  • Model/Vendor Agnostic: Works with various AI models and vendors.
  • API First: Designed for seamless integration and scaling.
  • SIEM/SOAR Compatible: Integrates with existing security systems.

Repello AI

  • Continuous AI Security: Provides ongoing monitoring and threat mitigation for GenAI applications in real-time.
  • Automated AI Red-Teaming: Tests AI applications from an attacker's perspective to identify vulnerabilities.
  • CI/CD Integration: Integrates security features directly into development pipelines for early detection.
  • Context-Aware Tailoring: Adapts security measures to the specific needs and use case of the GenAI application.
  • Comprehensive Reporting: Delivers detailed reports on vulnerabilities, failure modes, and mitigation steps.
  • Blackbox Testing: Simulates real attacks without requiring access to underlying algorithms or code.
  • Broad Vulnerability Coverage: Safeguards against over 270 vulnerability types.
  • Model Agnostic & Multimodal Support: Compatible with various AI models and supports text, image, audio, and video modalities.
  • AI Security Framework Mapping: Benchmarks application security against global AI security and safety standards.

Use Cases

CalypsoAI Use Cases

  • Secure AI model selection
  • Proactive AI vulnerability detection
  • Real-time protection of AI applications
  • Centralized monitoring of AI interactions
  • Ensuring safe AI adoption in enterprises

Repello AI Use Cases

  • Securing Generative AI applications against novel risks.
  • Protecting against prompt injection attacks.
  • Preventing jailbreak attempts on AI models.
  • Mitigating risks of brand reputation damage via AI misuse.
  • Blocking inappropriate or harmful content generation.
  • Continuously assessing and managing AI security posture.
  • Integrating AI security testing into the development lifecycle (CI/CD).

Uptime Monitor

Uptime Monitor

Average Uptime

99.87%

Average Response Time

253.03 ms

Last 30 Days

Uptime Monitor

Average Uptime

100%

Average Response Time

147.71 ms

Last 30 Days

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