HiddenLayer, Inc.
HiddenLayer provides purpose-built security for agentic, generative, and predictive AI across the AI lifecycle. Its platform helps enterprises discover AI assets, secure the AI supply chain, simulate attacks, and protect models, agents, prompts, tool calls, and runtime interactions without requiring access to raw data, model weights, or algorithms.
At a Glance
- Financial services and banking
- Insurance
- Technology and IT services
- Government, defense, and intelligence
- +4 more
AI Tools by HiddenLayer, Inc.
(1)HiddenLayer
Enterprise AI Security Platform
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Latest News
HiddenLayer raised $100M Series B led by Delta-v Capital to advance AI security and expand agentic runtime and agent-harness protection.
HiddenLayer and Cohere announced a collaboration to secure Cohere North enterprise agents.
HiddenLayer joined the Databricks Unity AI Gateway ecosystem for AI-native security in governed runtime workflows.
Introduced workflow-aligned modules in the HiddenLayer AI Security Platform.
Products & Services
Enterprise SaaS platform for securing agentic, generative, and predictive AI across discovery, supply-chain security, attack simulation, and runtime protection.
Discovers and inventories models, agents, AI workflows, and related AI assets so organizations can identify and manage AI-specific risk.
Scans and assesses models and AI dependencies before deployment, helping detect vulnerabilities, malicious components, and integrity risks.
Automates adversarial testing and red teaming to identify weaknesses in models, agents, and AI applications before deployment.
Market Position
HiddenLayer positions itself as a research-led, end-to-end AI security platform spanning discovery, supply-chain security, adversarial testing, and runtime protection. Its differentiators are model-agnostic and agentless deployment, non-invasive runtime defense, and no requirement for customer data, prompts, algorithms, or weights; competitors and adjacent alternatives include Protect AI, Lakera, Robust Intelligence/Cisco, CalypsoAI, Prompt Security, Mindgard, and Enkrypt AI.
Leadership
Founders
Christopher (Chris ‘Tito’) Sestito
Co-founder and CEO; cybersecurity and AI-security professional, with prior experience at Cylance and experience responding to an adversarial AI attack.
Tanner Burns
Co-founder and Chief Scientist; machine-learning and security researcher, previously Senior Data Science Engineer at Qualys and Senior Data Scientist Engineer at Agari, and formerly at Cylance.
James (Jim) Ballard
Co-founder; cybersecurity and machine-learning professional who initially served as CTO/CIO and now serves as COO.
Executive Team
Christopher (Chris ‘Tito’) Sestito
Chairman of the Board, CEO & Co-Founder
Cybersecurity and AI-security executive; previously associated with Cylance and co-founded HiddenLayer after experiencing an adversarial AI attack.
Tanner Burns
Co-Founder & Chief Scientist
Machine-learning and security researcher; previously held data-science engineering roles at Qualys and Agari.
Board of Directors
Founding Story
The founders started HiddenLayer after firsthand experience with an adversarial attack against an AI system. They saw that companies were deploying machine-learning models with vulnerabilities—such as model theft, tampering, and data poisoning—for which conventional security tools offered no purpose-built controls, and set out to create frictionless security for AI.
Business Model
Revenue Model
Enterprise B2B SaaS sold through platform subscriptions and enterprise contracts; the company primarily sells security modules and deployment/support capabilities to organizations, with demo-led sales rather than public self-serve pricing.
Target Markets
- Financial services and banking
- Insurance
- Technology and IT services
- Government, defense, and intelligence
- Pharmaceuticals and healthcare
- Airlines
- Discovering and governing shadow or enterprise AI deployments
- Scanning and hardening models before production
- Red-teaming generative AI applications and agents
- Protecting production AI runtimes, prompts, tools, and MCP integrations
- Securing AI coding agents and agent harnesses
- Protecting intellectual property and preventing model theft or extraction
- Fortune 100 companies in finance, government, defense, and cybersecurity
- U.S. defense and intelligence communities
- NFL
- Cohere North deployments