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
What you can produce with HiddenLayer
- Scan a model file downloaded from a public hub like Hugging Face for embedded malware or malicious serialisation payloads before allowing it into production.
- Automatically discover and inventory the AI models and assets running across your environment, including ones teams deployed without security review.
- Run automated attack simulations and red-team exercises against your own models to find evasion and extraction weaknesses before adversaries do.
- Detect adversarial inputs, prompt-injection attempts and model-theft patterns against deployed models in real time.
- Route AI-specific security alerts into your existing SIEM and SOC workflows so analysts triage model attacks alongside conventional incidents.
- Generate posture reports on AI supply-chain and runtime risk to evidence controls for internal risk and compliance reviews.
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.
What people say
HiddenLayer is still independent and has broadened well beyond its 2022 origins in adversarial ML defence. Its AI Security Platform now spans the lifecycle: discovering AI assets across an environment, scanning model files for supply-chain tampering, simulating attacks, and runtime protection for predictive, generative and agentic AI. The customer base remains distinctive, mixing the US Department of Defense and federal agencies with commercial enterprises, and the product is available through AWS Marketplace.
Reviewers on Gartner Peer Insights and PeerSpot credit the platform with strong visibility into model risks, calling out its coverage of prompt injection and model-exposure issues that traditional security tooling simply does not see. Recurring praise includes an easy-to-read dashboard with actionable findings, fast deployment, and smooth integration into existing DevSecOps pipelines. Security teams particularly value the model scanner as a gate before pulling third-party models from public hubs into production.
The criticisms are the usual ones for a young enterprise security category. Initial setup and configuration can demand real ML and security expertise, pricing is repeatedly described as steep for smaller organisations, and some users report slow support responses and documentation gaps that hindered adoption. Independent tracking put HiddenLayer's mindshare in the generative-AI security category at 2.8 percent as of May 2026, slightly down year on year, a reminder that this is a crowded, fast-moving market where big platform vendors are now competing directly.
HiddenLayer fits security teams at enterprises and government agencies that already run ML or LLM systems in production and need purpose-built controls to satisfy internal risk or compliance requirements. Startups with one or two models, or teams only worried about prompt injection in a single chatbot, will likely find the platform's scope and cost more than the problem warrants.
Summary of public user & expert reviews, compiled by RECATOOLS.
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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