Secure your AI applications from discovery to runtime
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TL;DR - HiddenLayer
- Secures agentic, generative, and predictive AI applications across their entire lifecycle.
- Provides AI discovery, supply chain security, attack simulation, and real-time runtime protection.
- Integrates with existing CI/CD, MLOps, Data Pipelines, and SIEM/SOAR systems.
Pricing: Paid only
Best for: Enterprises & pros
What is HiddenLayer?
HiddenLayer provides a comprehensive AI security platform designed to protect agentic, generative, and predictive AI applications across their entire lifecycle. It addresses critical AI security gaps that traditional tools cannot, offering solutions for AI discovery, supply chain security, attack simulation, and runtime security. The platform helps organizations identify and inventory AI assets, analyze and protect models during development, continuously validate defenses against threats, and monitor and respond to adversarial attacks in real-time. This platform is built for enterprises, particularly CISOs, AI Executives, and Application Developers, across various industries including Financial Services, US Federal, and Technology sectors. It enables safe AI adoption at scale by safeguarding intellectual property, ensuring compliance, and proactively defending against a full spectrum of AI threats. HiddenLayer aims to reduce exposure to AI exploits, identify risks in models, prevent misuse and data leakage, and protect autonomous systems. By integrating natively into CI/CD, MLOps, Data Pipelines, and SIEM/SOAR, HiddenLayer simplifies deployment and provides end-to-end visibility and defense for AI systems. It helps organizations gain control over enterprise AI risk by providing full visibility into AI usage, reducing third-party and open-source risks, enabling continuous AI threat validation, and facilitating real-time AI incident response.
Pros & Cons
Pros
- Provides comprehensive security across the entire AI lifecycle.
- Offers non-invasive protection without accessing sensitive customer data or proprietary models.
- Reduces exposure to AI exploits and helps ensure compliance.
- Enables continuous validation of AI defenses against evolving threats.
- Simplifies deployment through pre-built integrations with existing enterprise tools.
Cons
- Requires integration into existing development and security workflows.
- Focuses specifically on AI security, which may require additional traditional cybersecurity tools.
Preview
Key Features
AI Discovery for inventorying AI applications, models, and assetsAI Supply Chain Security for analyzing and protecting AI applications during developmentAI Attack Simulation for continuous threat identification and defense validationAI Runtime Security for real-time monitoring, detection, and response to adversarial threatsModel Scanning to detect hidden risks in third-party and proprietary modelsRed Teaming to identify threats and validate defenses continuouslyAI Guardrails to prevent misuse, data leakage, and adversarial attacksAgentic and MCP Protection to safeguard autonomous systems
Pricing
Paid
HiddenLayer offers paid plans. Visit their website for current pricing details.
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HiddenLayer FAQ
How does HiddenLayer's AI Runtime Security protect against adversarial threats in real-time?
HiddenLayer's AI Runtime Security acts as a firewall, continuously monitoring prompts, outputs, memory, and agent actions to detect and block adversarial threats such as prompt injection, data leakage, model theft, and unsafe tool use as they occur in agentic and generative AI applications.
What types of AI models and applications does HiddenLayer secure?
HiddenLayer secures agentic, generative, and predictive AI applications. This includes protecting against risks in both proprietary and third-party models, as well as safeguarding autonomous systems and multi-component pipelines (MCPs).
How does HiddenLayer address the challenge of 'shadow AI' within an organization?
HiddenLayer's AI Discovery module automatically identifies and maps all models, agents, datasets, and AI workflows across cloud environments, repositories, and applications. This provides comprehensive visibility into AI usage, eliminating shadow AI and enabling better governance and planning.
Can HiddenLayer integrate with existing enterprise security and development tools?
Yes, HiddenLayer offers native integrations with common enterprise systems, including CI/CD pipelines, MLOps platforms, Data Pipelines, and SIEM/SOAR solutions. This simplifies deployment and allows for seamless incorporation into existing security and development workflows.
What is the primary benefit of HiddenLayer's non-invasive AIDR solution for regulated industries?
The primary benefit of HiddenLayer's non-invasive AIDR (AI Detection and Response) solution for regulated industries is that it provides robust, real-time protection against adversarial attacks without ever needing to access a customer's sensitive data or proprietary models, which is crucial for maintaining data privacy and compliance.
How does HiddenLayer help organizations validate their AI defenses before deployment?
HiddenLayer's AI Attack Simulation module continuously red teams AI systems. It simulates various attacks like prompt injection, jailbreaks, data extraction, and adversarial abuse, allowing organizations to identify and fix weaknesses before their AI applications are deployed to production.
What specific risks does HiddenLayer mitigate in the AI supply chain?
HiddenLayer mitigates risks in the AI supply chain by scanning proprietary, vendor, and open-source models for malware, backdoors, CVEs, integrity issues, and inherited risks. This ensures that models are safe to use before they reach production, reducing exposure from unvetted third-party AI components.
How does HiddenLayer contribute to enterprise AI governance?
HiddenLayer contributes to enterprise AI governance by providing full visibility into where AI exists and how it is used, ensuring that only verified models enter production, and offering continuous validation as models evolve. This comprehensive framework helps manage risk and aligns AI adoption with visibility, compliance, and accountability.
Source: hiddenlayer.com