HiddenLayer

What HiddenLayer does

HiddenLayer is the leading provider of Security for AI, offering an AISec Platform that unifies supply chain security, runtime defense, posture management, and automated red teaming. The platform protects agentic, generative, and predictive AI applications throughout their lifecycle, helping organizations reduce risk, ensure compliance, and confidently adopt AI. Founded by cybersecurity and machine learning veterans, HiddenLayer combines patented technology with industry-leading research to defend against prompt injection, adversarial manipulation, model theft, and supply chain compromise.

Products

• HiddenLayer AI Security PlatformA comprehensive platform that unifies supply chain security, runtime defense, posture management, and automated red teaming to protect agentic, generative, and predictive AI applications across the entire lifecycle.
• AI DiscoveryAutomatically discovers every model, dataset, agent, and AI workflow across cloud, repos, and applications to provide visibility into AI usage and eliminate shadow AI.
• AI Supply Chain SecurityScans proprietary, vendor, and open-source models for malware, backdoors, CVEs, integrity issues, and inherited risk before models reach production.
• AI Attack SimulationContinuously red teams AI systems to simulate prompt injection, jailbreaks, data extraction, and adversarial abuse before attackers exploit gaps.
• AI Runtime SecurityMonitors prompts, outputs, memory, and agent actions in real time to detect and block prompt injection, data leakage, model theft, and unsafe tool use.
• AI Red Teaming (Service)Expert service to emulate real-world adversarial attacks against agentic, generative, and predictive AI applications to uncover vulnerabilities.
• AI Risk Assessment (Service)Provides a 360° view of an AI ecosystem’s exposure, identifying weaknesses across data pipelines, model lineage, and the AI supply chain.
• AI Security Training & Certification (Service)Equips security and development teams with skills to recognize and mitigate AI-specific threats through hands-on Red Team Training.

Key capabilities

• AI Discovery, AI Supply Chain Security, AI Attack Simulation, and AI Runtime Security modules
• Native Integrations into CI/CD, MLOps, Data Pipelines, and SIEM/SOAR
• Model Scanning for hidden risks in third-party and proprietary models
• Red Teaming to identify threats and validate defenses continuously
• AI Guardrails for policy-based controls to prevent misuse, data leakage, and adversarial attacks
• Agentic and MCP Protection to safeguard autonomous systems
• Automated Multi-Cloud Discovery (AWS, Azure, GCP, VMs, containers, APIs)
• Model Lineage identification (origin and licensing)
• Shadow AI Detection
• Compliance Mapping (NIST, OWASP, ATLAS frameworks)
• Owner & Risk Metadata auto-assignment
• AI Risk Management for malicious model changes
• AI Governance for model behavior
• AI Bill of Materials (AI-BOM) to unpack model files, metadata, and components
• AI Model Genealogy to track versions, lineage, and provenance
• AI Security Posture Management (AI SPM)
• Adversarial AI Threat Simulation
• Security Policy Assurance
• System Prompt Hardening
• Continuous Security Testing
• Automated Reports & Guardrail Recommendations
• Model-Agnostic, Agentless, Zero Training Data Required deployment
• Non-invasive AIDR solution for real-time protection without accessing sensitive data or proprietary models

Use cases

• Secure AI with precision-built defenses
• Detect hidden risks in third-party and proprietary models
• Identify threats early and validate defenses continuously
• Prevent misuse, data leakage, and adversarial attacks with policy-based controls
• Safeguard autonomous systems and protect against rogue behavior
• Accelerate AI innovation safely and confidently
• Protect Agentic, Generative, and Predictive AI Systems for Mission Assurance
• Protect AI applications from adversarial attacks, data leakage, and model manipulation
• Enable Safe and Scalable AI Adoption
• Build AI applications securely without compromising speed or flexibility
• Gain control of enterprise AI risk
• See every AI asset, validate every model, test for real attacks, and stop threats in real time
• Eliminate shadow AI before it creates business risk
• Reduce exposure from unvetted third-party AI
• Prevent breaches by identifying gaps before attackers do
• Detect AI attacks in real time before they cause damage
• Secure AI innovation for fraud detection, trading, compliance, and customer engagement in financial services
• Protect customer trust in AI systems handling sensitive information
• Strengthen compliance with AI regulations
• Accelerate secure AI services deployment
• Defend against model theft
• Secure every model built, bought, or borrowed
• Verify every model before it enters the environment
• Identify and assess risk from malicious model changes
• Enforce governance controls on model behavior
• Track model versions, lineage, and provenance
• Continuously measure and report AI security posture
• Detect attacks, enforce safety rules, and protect models without slowing development
• Eliminate blind spots across all AI powered services
• Only deploy models you can trust
• Continuously test against real world attacks
• Enforce protection while AI is running
• Simulate attacks to automatically red team AI
• Validate AI behavior against security policies
• Identify prompt weaknesses causing leakage or override
• Force agents to attempt harmful or unauthorized actions

AI approach

HiddenLayer provides an AI security platform that proactively defends against AI threats across the entire lifecycle. Their platform offers AI Discovery, AI Supply Chain Security, AI Attack Simulation, and AI Runtime Security. They use patented technology and industry-leading adversarial AI research to protect agentic, generative, and predictive AI applications. Their approach is model-agnostic, agentless, and requires zero training data, deploying across any architecture without exposing intellectual property, weights, prompts, or customer data. They also offer professional services including AI Red Teaming, AI Risk Assessment, and AI Security Training & Certification.

Tech named: Machine Learning Detection & Response System, policy engine, AI Bill of Materials (AI-BOM), AI Model Genealogy, AI Security Posture Management (AI SPM)

Industries served

• Computer and Network Security
• Financial Services
• US Federal
• Technology
• Healthcare

What it says sets it apart

• Gartner-recognized Cool Vendor for AI Security
• Leading provider of Security for AI
• Patented technology and industry-leading adversarial AI research
• Founded by a team of cybersecurity and machine learning veterans
• Purpose-built for AI Security, not retrofitted from traditional cybersecurity
• Model-Agnostic, Agentless, Zero Training Data Required deployment
• Trusted by the world’s largest enterprises and security leaders
• Research-driven expertise from researchers discovering AI/ML vulnerabilities and CVEs
• Real-world threat simulation modeled after active adversarial campaigns
• Comprehensive risk coverage from AI asset discovery to runtime environments
• Actionable outcomes with detailed remediation playbooks
• Measurable security gains with before-and-after scoring
• Seamless integration with the HiddenLayer AI Security Platform
• Accelerated compliance with NIST AI RMF and EU AI Act requirements
• Continuous learning with repeatable testing frameworks and training modules
• Non-invasive AIDR solution provides robust, real-time protection without accessing customer's sensitive data or proprietary models
• Proven impact: reduction in critical vulnerabilities, faster remediation cycles, 100% customer confidence increase post-engagement

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.