HiddenLayer
Total AI Security
Overview
HiddenLayer differentiates itself by covering the entire AI security lifecycle in one platform, discovery, supply chain scanning, adversarial testing, and runtime defense, rather than specializing in just one layer. That breadth is genuinely useful for CISOs who need a single vendor conversation instead of stitching together multiple point tools, and its customer base spanning financial services, tech, and federal government suggests it holds up under serious compliance scrutiny.
The tradeoffs are the ones you'd expect from an enterprise AI security platform: pricing isn't public, and reported entry points (around $500/month for the lowest paid tier) put it out of reach for smaller AI teams experimenting with a handful of models. It also competes directly with Protect AI (now under Palo Alto Networks) and Lakera (now under Check Point), so buyers should compare runtime latency, red-teaming depth, and existing security-stack integrations carefully rather than assuming feature parity.
Key Features
AI Discovery: Automatically inventories AI/ML models and assets across an organization for full visibility.
AI Supply Chain Security: Scans models and dependencies for malicious code, tampering, and provenance risks before deployment.
AI Attack Simulation: Automated adversarial testing (red teaming) to identify exploitable vulnerabilities in models before attackers do.
AI Runtime Security: Real-time detection and response to attacks against live, deployed AI models and applications.
Model-Agnostic Coverage: Works across model types and deployment environments rather than locking into a single ML framework.
Pricing
Starting price
Custom pricing only, contact sales (reported enterprise tiers starting around $500/mo)
Free Tier: Limited-feature tier available for initial exploration.
Enterprise Tier: Custom pricing reportedly starting around $500/month, scaling with organizational size and feature requirements.
Disclaimer: pricing may change, confirm on HiddenLayer's own pricing page before buying.
Pros
Full-lifecycle coverage: Discovery, supply chain, red teaming, and runtime protection in a single platform reduces vendor sprawl.
Enterprise and federal credibility: Customer base includes regulated industries, suggesting the platform holds up to serious compliance requirements.
Model-agnostic design: Not locked to a single ML framework or cloud provider.
Cons
Opaque, enterprise-first pricing: No published pricing, and reported entry tiers may be too costly for small AI teams.
Crowded, consolidating market: Competes with recently-acquired rivals (Protect AI, Lakera), and independent status may itself be temporary as the AI security space consolidates.
Requires dedicated AI/ML security expertise: Best value is realized by teams that already understand model-level threats, not general IT staff.
What Makes It Unique
End-to-end AI security lifecycle: Combines discovery, supply chain scanning, automated red teaming, and runtime defense in one platform, a broader scope than many single-purpose AI security point tools.
Kay Score
7.2
/ 10
Tool Information
Pricing
Custom pricing only, contact sales (reported enterprise tiers starting around $500/mo)
Category
Automation & AI Agents
Platform
Web / iOS / Android
Last Updated
