Protect AI
vs
HiddenLayer
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.
HiddenLayer
HiddenLayer offers a comprehensive security platform designed to protect machine learning models. The platform safeguards enterprises against adversarial attacks on their AI, including inference, bypass, extraction attacks, and model theft.
HiddenLayer's approach is built on the MITRE ATLAS framework and focuses on providing real-time awareness of a model's health and attack surface without needing direct insight into the model or its training data. This unique, patent-pending solution helps organizations prevent sensitive data exposure, reverse-engineering of models, and ensure the overall trustworthiness of their AI's performance.
Protect AI
Pricing
HiddenLayer
Pricing
Protect AI
Features
- 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.
HiddenLayer
Features
- AI Detection & Response: Detect and respond to suspicious activity around your AI assets.
- Security Scan: Scan and discover your AI assets to keep them safe.
- Automated Reporting: Validate Security across enterprise AI models with comprehensive reporting.
Protect AI
Use cases
- Securing ML model development and deployment
- Preventing unauthorized data access in LLM applications
- Identifying vulnerabilities in LLMs through red teaming
- Managing and mitigating risks across the entire AI lifecycle
- Ensuring compliance with AI security regulations
HiddenLayer
Use cases
- Protecting proprietary AI models from reverse-engineering.
- Securing algorithms against inference or poisoning attacks.
- Preventing sensitive training data from exposure.
- Ensuring the trustworthiness of model performance and outputs.
Protect AI
Uptime Monitor
Average Uptime
99.82%
Average Response Time
334.13 ms
Last 30 Days
HiddenLayer
Uptime Monitor
Average Uptime
99.95%
Average Response Time
203.13 ms
Last 30 Days
Protect AI
HiddenLayer
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