HiddenLayers AI Security Platform delivers modular capabilities designed to secure AI systems across the MLOps pipeline. The platform combines AI Discovery, AI Supply Chain Security, AI Attack Simulation, and AI Runtime Security to detect, prevent, and respond to adversarial AI risks without accessing private data or models.
Key Benefits
Complete AI Visibility: Discover and inventory AI assets across environments to eliminate shadow AI and unmanaged risk
Secure AI Supply Chain: Validate model integrity, dependencies, and lineage to reduce exposure from untrusted or vulnerable AI
Proactive Risk Reduction: Identify weaknesses early through continuous AI attack simulation and policy validation
Real Time AI Protection: Detect and respond to AI attacks in production, minimizing downtime and business impact
Faster Safer AI Deployment: Embed security across the AI lifecycle so teams can deploy AI with confidence
Key Capabilities
AI Asset Discovery and Inventory: Continuously catalog AI models, datasets, and dependencies across development and production environments
Model Genealogy and AI Bill of Materials: Track model lineage and generate a standards based inventory to support governance and compliance
Adversarial AI Attack Simulation: Simulate real world AI attacks to test system resilience, prompts, and policies before deployment
AI Detection Guardrails and Firewall: Enforce runtime protections to stop prompt injection, model abuse, and agentic misuse in real time
Continuous Security Testing and Policy Assurance: Validate AI security posture as models and applications evolve
Key Highlights
AI Security Originators: Founded after the first real world adversarial attack on ML models at Cylance, creating the AI Security category
Research Driven Innovation: Dedicated AI security research team advancing defenses against emerging threats
Fully In House Technology: Platform modules are internally built and patented for seamless integration and a unified experience
Enterprise Grade: Supports complex deployments with mature integrations and enterprise compliance readiness
HiddenLayer uses the MITRE ATLAS framework to align with the industry's leading authority on adversarial threats targeting artificial intelligence systems.
Most adversarial AI security firms need to engage panels of expensive experts to take your algorithm apart and harden it from the inside, adding complexity and cost. Not us.
HiddenLayer offers a drop-in software approach that provides a lightweight, real-time awareness of your model's health and attack surface - without ever needing insight into it or the training set used to create it.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing has one pricing dimension, billed under a contract. You buy access to the HiddenLayer AISec Platform by Units, which give you full platform access. Because a single dimension covers the whole platform, you scale your commitment by adjusting the number of Units you purchase rather than choosing between separate tiers or products. All platform capabilities fall under this one measure, so pricing is driven by the total Unit quantity you contract for over the term.
Top-of-mind questions for buyers
What does the HiddenLayer AISec Platform cover across the AI lifecycle for one Unit contract?
Your Unit-based access spans the full platform: AI discovery, supply chain security, runtime security, and attack simulation. This covers finding shadow AI, validating models before deployment, detecting attacks in production, and simulating threats. All capabilities sit under the single Unit measure with no separate add-on charges.
How does the platform connect to my AWS AI services, and does that affect the Unit count?
The platform extends to secure Bedrock models, Bedrock Agents, SageMaker models, and model-serving endpoints, plus agents on Amazon Bedrock Agentcore. These integrations are part of platform access under your Unit contract. Contact the vendor to confirm how your environment size maps to the Unit quantity you need.
Do I need to install agents or share model data to use this platform?
No. The platform is model-agnostic and agentless, and requires no training data. You deploy across any architecture without exposing model weights, prompts, or customer data. This applies to the platform access you buy under the single Unit dimension, so deployment scope does not add separate charges.
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