HiddenLayer
MLSec platform — protects deployed ML models
Overview
HiddenLayer provides ML security — detecting model evasion, model theft, adversarial inputs, and supply-chain attacks against deployed AI systems. Federal/DoD customer base plus commercial enterprise. Series-A backed.
Use cases
ASEAN Perspective
HiddenLayer in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
HiddenLayer is a specialist AI security platform covering model supply-chain scanning, runtime detection and response (MLDR) against attacks like prompt injection and model theft, plus adversarial red teaming. As one of the more established names in the emerging AISec space, it suits enterprises and regulated organisations deploying ML/LLMs that need to treat models as an attack surface. Broad connector support (SIEM/SOAR, CI/CD, MLOps) helps it slot into existing security stacks.
Caveats: this is an enterprise product with custom, sales-led pricing and real implementation effort, not something a small team adopts casually. The AI-security category is young, so buyers should validate detection efficacy against their threat model. APIs exist for integration but it is not a self-serve developer product. ASEAN readiness is moderate: deployable regionally, no specific local provisioning.
About this listing
This entry was compiled from publicly available data including HiddenLayer's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with HiddenLayer unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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