HiddenLayer
AI security platform for agentic, generative, and predictive AI; $100M Series B and DoD contracts in 2026.
About
HiddenLayer is an Austin-based AI security company founded in 2022 that protects AI models, agents, and workflows from adversarial attacks, vulnerabilities, and malicious code injection. Its platform covers the expanding AI attack surface: agentic runtime security plus Agent Harness Security, a newer module that secures AI coding agents at runtime for enterprises adopting autonomous coding agents.
In September 2026 it announced a $100M Series B led by Delta-v Capital (with Ten Eleven Ventures, Morgan Stanley, Microsoft's M12, and Booz Allen Ventures), bringing total funding past $155M. The company reports 10x ARR growth over the prior year and 50+ new platform customers spanning banking, insurance, pharma, airlines, and US defense and intelligence communities, including a Missile Defense Agency SHIELD contract award. It is enterprise, quote-only pricing with no public list price, and most traction claims are company-reported.
What it can do
- Agentic runtime security for autonomous AI systems
- Agent Harness Security for AI coding agents
- Adversarial attack detection for models and workflows
- Enterprise platform with 10x ARR growth in 2026
- Defense and intelligence community deployments
Setup
Enterprise sales engagement at hiddenlayer.com; platform deploys around existing AI/ML infrastructure.
Prerequisites
Enterprise AI deployments (models, agents, or coding-agent tooling) requiring runtime security.
Use cases
Works with
Trust score — 9/10
Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 75; Trending score 86/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.