HiddenLayer | Company Profile - Revenue, Headcount, Tech Stack, Contacts
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HiddenLayer
Overview
HiddenLayer is a cybersecurity company based in Austin, Texas, focused on securing artificial intelligence (AI) and machine learning (ML) models. Founded in March 2022 by experts in cybersecurity and machine learning, the company offers a platform designed to protect against adversarial attacks, supply chain compromises, and other threats without requiring access to sensitive data or algorithms. It has been recognized by Gartner as a Cool Vendor for AI Security.
The companyβs AISec Platform provides advanced features for supply chain security, runtime defense, and automated red teaming. Its key solutions include AI Detection & Response (AIDR) for monitoring and mitigating adversarial threats to AI, and Machine Learning Detection & Response (MLDR), which is the first platform to detect cyberattacks on ML systems. Collaboration with Microsoft enhances security and compliance for Azure AI applications, reducing enterprise risk for organizations deploying AI and ML technologies.
Basic Information
| Industry | computer & network security |
|---|---|
| Founded | 2022 |
| Revenue | 45M |
| Headquarters | 14900 Avery Ranch Blvd, Austin, Texas, United States, 78717 |
Contact Details
- Phone: +1 540-840-9336
- Website: hiddenlayer.com
- LinkedIn: linkedin.com/company/hiddenlayersec
Key Focus Areas & Initiatives
- Adversarial ML training
- PII leakage protection
- Prompt injection security
- Gen AI security
- Model tampering protection
- AI detection response
- AI model scanning
- AI red teaming
- Security for AI
- Cyber security
- Data poisoning security
- AI threat research
- Security posture management
- Artificial intelligence
- Model theft protection
- AI attack surface
- AI model protection
- Services
- AI threat response
- AI model poisoning defense
- Model integrity monitoring
- AI security reporting
- Prompt injection defense
- Cloud security
- Proactive security
- Non-invasive security
- AI supply chain security
- AI security testing tools
- Security platform
- AI attack simulation tools
- AI cybersecurity platform
- Adversarial attacks
- AI runtime defense
- AI model hardening
- Threat detection
- Model validation
- Information technology and services
- Model scanner
- MITRE ATLAS
- AI security partnerships
- AI security research
- Model integrity
- AI security standards
- AI security policies
- Prompt injection prevention
- Adversarial AI
- AI security framework
- Regulatory compliance
- AI threat simulation
- AI security automation
- AI risk assessment
- Vulnerability scanning
- Runtime defense
- AI security solutions for enterprise
- B2B
- AI security framework implementation
- AI security best practices
- AI security innovation
- AI security analytics
- AI security solutions
- MITRE ATLAS framework
- ML security
- Real-time detection
- OWASP Top 10 for LLMs
- Attack surface protection
- AI threat intelligence platform
- Enterprise AI security
- Security automation
- AI safety
- AI attack prevention
- AI threat intelligence
- AI risk management
- Prompt injection
- AI asset security
- AI security compliance
- Cybersecurity for AI
- Regulatory compliance tools
- Adversarial machine learning
- Financial services
- Model theft
- AI threat landscape
- Automated red teaming
- AI threat mitigation
- AI asset protection
- OWASP frameworks
- AI model hardening techniques
- AI security consulting
- AI threat hunting tools
- AI threat hunting
- AI vulnerability management
- AI model monitoring
- Model theft prevention
- Professional services
- Automated red teaming for AI
- AI attack mitigation
- AI attack surface reduction
- Supply chain security
- Cyber threat intelligence
- AI security testing
- AI security orchestration
- AI security integration
- Computer systems design and related services
- AI adversarial attack detection
- Cloud-based software
- AI vulnerability assessment
- AI detection and response
- Malware analysis
- Data integrity
- Adversarial AI defense
- Machine learning security
- Inference attack prevention
- Extraction attack protection
- Prompt injection mitigation
- Data poisoning defense
- Cloud-based security solutions
- Compliance and regulatory support
- Cybersecurity for AI models
- Intellectual property protection
- Zero trust AI security
- Light-touch consulting
- Real-time monitoring
- Scalable AI defense
- Cyber threat management
- Public sector AI security
- Finance industry AI solutions
- Open source model security
- Model integrity verification
- Adversarial threat detection
- Proactive AI protection
- Threat intelligence for AI
- Continuous risk management
- Model theft defense
- Generative AI security
- Automated reporting for AI models
- AI risk mitigation
- Real-time threat responses
- AI fraud prevention
- Secure AI infrastructure
- SAI security advisory
- AI incident response
- Proprietary algorithm protection
- Continuous vulnerability scans
- AI governance and risk management
- CI/CD integration for AI security
- Behavioral analysis of AI models
- Endpoint security for AI
Technologies Used
- AI
- Amazon EKS Anywhere
- Argocd
- Atlas
- Bugcrowd
- Clearbit
- CloudFlare
- Cloudflare DNS
- CookieYes
- Git
- GitHub Actions
- Gmail
- Google Analytics
- Google Apps
- Google Sheets
- Google Tag Manager
- Grafana
- Grafana Loki
- HELM
- Hubspot
- IBM Storage Suite for IBM Cloud Paks
- IoT
- Jira
- Kubernetes
- Linkedin Marketing Solutions
- Markdown
- Microsoft Office 365
- Mobile Friendly
- OpenSearch
- PathFactory
- Prometheus
- Python
- Remote
- SQL
- Salesforce
- Slack
- Terraform
- WP Engine
- WordPress.org
- YouTube
- Zendesk
- reCAPTCHA