Secure AI applications - AI tools

Adversa AI is a cybersecurity platform specializing in protecting AI systems from threats, privacy issues, and safety incidents through comprehensive security assessments and hardening solutions.

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Protect AI offers a comprehensive platform to secure AI systems, enabling organizations to manage security risks and defend against AI-specific threats.

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Aim Security enables businesses to safely adopt and integrate AI technologies by providing comprehensive security solutions, mitigating risks, and ensuring compliance.

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ID Privacy AI is an enterprise AI platform specializing in privacy-first multi-agent orchestration to automate complex workflows securely. It offers end-to-end data encryption and custom AI model creation.

• Paid
• From 15$

WhyLabs provides AI Control Center for observing, securing, and optimizing AI applications, offering tools for LLM security, ML monitoring, and AI observability.

• Freemium
• From 125$
• API

Zenity is a SaaS platform that provides security and governance for AI agents and low-code/no-code applications across enterprises, enabling organizations to safely adopt and manage AI technologies.

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Smart Sentry AI is an intelligent security monitoring system that combines AI technology with human expertise to provide 24/7 real-time property protection at 10% of traditional security guard costs.

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Wald.ai provides secure access to multiple AI assistants like ChatGPT, Claude, and Gemini, ensuring robust data protection and regulatory compliance management for enterprise users.

• Free Trial
• From 20$

Prediction Guard is a secure GenAI platform offering self-hosted solutions, data safeguards, and AI malfunction prevention while supporting affordable hardware deployment options.

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Traceable AI is a comprehensive API security platform that provides unmatched API discovery, attack detection, and protection through AI-powered contextual analysis and threat hunting capabilities.

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HiddenLayer provides a security platform that helps enterprises safeguard their machine learning models from adversarial attacks without adding complexity or requiring access to sensitive data.

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