HiddenLayer vs Vijil

Both compete in Red-Teaming & AI Security. HiddenLayer positions itself as “AI detection and response plus red teaming to protect machine learning models and AI products”, while Vijilleads with “Trust infrastructure to make enterprise AI agents secure, reliable, and resilient”. The table below compares what each publishes.

Where HiddenLayer pulls ahead

Enterprises and regulated organizations needing runtime protection and detection for production ML models

Where Vijil pulls ahead

Teams building enterprise AI agents that need lifecycle testing, hardening, and trust evidence

	HiddenLayer	Vijil
Positioning	AI detection and response plus red teaming to protect machine learning models and AI products	Trust infrastructure to make enterprise AI agents secure, reliable, and resilient
Category	Red-Teaming & AI Security	Red-Teaming & AI Security
Frameworks	None published	None published
Deployment	SaaS, On-prem, API	SaaS, API
Built for	Security, Data Science / ML, Risk	Security, Data Science / ML, Risk
Founded	2022	2023
Headquarters	Austin, Texas, USA	California, USA
Ownership	Private (VC-backed)	Private (VC-backed)
Funding	$56M total; $50M Series A in 2023 led by M12 and Moore Strategic Ventures, with Booz Allen, IBM and Capital One Ventures	$23M total; $17M round in November 2025 led by Brightmind Partners with Mayfield and Gradient Ventures, following a $6M seed in 2024
Pricing	Not published	Not published
Key capabilities	Machine Learning Detection and Response (MLDR) Model scanning Automated red teaming Real-time attack detection AI risk and governance reporting Response actions (alert, isolate, deceive)	Agent security and reliability testing Pre-deployment evaluation Runtime protection Trust scoring Continuous monitoring Risk remediation
Integrations	Not published	Not published
Notable customers	None published	SmartRecruiters
Best for	Enterprises and regulated organizations needing runtime protection and detection for production ML models	Teams building enterprise AI agents that need lifecycle testing, hardening, and trust evidence
Limitations	Historically ML-model centric; buyers seeking full agentic AI governance or compliance certification may need complementary tooling.	Early-stage vendor; detailed framework mappings and integration list are not extensively documented publicly.

Which should you shortlist?

Choose HiddenLayer if enterprises and regulated organizations needing runtime protection and detection for production ML models

Choose Vijil if teams building enterprise AI agents that need lifecycle testing, hardening, and trust evidence

Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.

Full HiddenLayer profile →Full Vijil profile →

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