Data Privacy
Privacy of customer data is top of mind. We follow industry best practices and follow all applicable privacy regulations.
Overview
Welcome to Glitter AI's Trust Center. Our commitment to data privacy and security is embedded in every part of our business.
About Glitter AI
Glitter AI makes business process documentation fast and easy. We help organizations turn every process into a step-by-step guide, streamlining operations and improving efficiency.
Our Security Commitment
At Glitter AI, security and privacy are foundational to everything we do. We implement industry-leading security controls and maintain compliance with rigorous standards to protect our customers' data and ensure business continuity.
What You'll Find Here
- Learn about our comprehensive security posture
- Access our security documentation and certifications
- Review our compliance frameworks and attestations
- Understand our data protection and privacy practices
For security inquiries or to request additional documentation, please contact our security team at security@glitter.io.
Compliance
SOC 2 Type II Auditor: GRSee Consulting 
HIPAA BAA available Reports and documents
The SOC 2 report is sent on request SOC 2 Type II report · on request
Subprocessor list · public Data Processing Agreement · public HIPAA and BAA · public Risk profile
Data access level Internal
Impact level Moderate
Recovery time objective 4 hours
Recovery point objective 24 hours
Critical dependence Yes
Third party dependence Yes
Hosting Major cloud provider
See the questions Product security
Data security
Application security
AI
Governance and ethics
Legal
Infrastructure
Frequently asked
Do you train any AI models on customer data? View all 1Security practices
Access Control
Access is tightly monitored and controlled at our company. We are happy to provide more details about our access control practices upon request.
Endpoint Security
We follow industry best practices for endpoint security. We are happy to provide more details about our endpoint security practices upon request.
Network Security
We protect our corporate network against external and internal threats.
Corporate Security
We implement internal measures and practices to maintain a high standard of security.
Policies
Our information security policies are reviewed and approved annually. Please contact us for more details.
Security Grades
We are constantly monitoring the security of our website. We will post our grades from public security rating agencies when they become available.
Incident Response
We have a dedicated team that responds to security incidents. We are happy to provide more details about our incident response practices upon request.
Risk Management
We have a dedicated team that manages security risks. We are happy to provide more details about our risk management practices upon request.
Asset Management
We have strict asset management policies in place to ensure that all assets are accounted for and secure.
BC/DR
We have a business continuity plan in place to ensure that we can continue to operate in the event of a disaster.
Training
We provide security awareness training to all employees to ensure that they are aware of security best practices.
Change Management
We have a change and configuration management process in place to ensure that changes are properly reviewed and approved.
Physical and Environment
We have physical and environmental controls in place to ensure that our data centers are secure and reliable.
Continuous Monitoring
We continuously monitor our systems for security threats and vulnerabilities. We are happy to provide more details about our continuous monitoring practices upon request.
Updates
2026-09 Trust Center moved in-house; the SOC 2 Type II report is available on request.
2026-06 ElevenLabs added to the subprocessor list for AI voice narration.
Questions? security@glitter.io
Status Monitoring
Live service status is published at status.glitter.io, with incident history and scheduled maintenance.
Amazon Web Services
Glitter AI uses AWS as our primary cloud infrastructure provider, hosting applications and data with S3 storage, Lambda serverless computing, CloudFront CDN, and managed services via Vercel and Supabase.
Anti-DDoS
Glitter AI uses multi-layered DDoS protection via Vercel Edge Network, CloudFront CDN, and Supabase/Cloudflare with automatic mitigation, rate limiting, and fail2ban to prevent brute force logins.
BC/DR
Glitter AI uses comprehensive BC/DR planning with 4-hour RTO and 24-hour RPO, including automated daily backups, cross-region replication, and quarterly disaster recovery testing across AWS and GCP infrastructure.
Capacity Planning & Management
Glitter AI uses comprehensive capacity planning via AWS CloudWatch, GCP Monitoring, Vercel Analytics, and Sentry with automated alerting at 70% CPU, 80% memory thresholds, quarterly reviews, and 99.9% availability SLO.
Cloud Service Providers
Glitter AI uses multiple cloud service providers including AWS (primary infrastructure), GCP (AI services), and Vercel (edge hosting) with comprehensive monitoring and security controls across all platforms.
Cloud Workload Protection
Glitter AI uses cloud workload protection via AWS GuardDuty for threat detection, GCP Security Command Center for monitoring, and Sentry for application security monitoring with real-time alerting.
Environment Segregation
Glitter AI uses environment segregation with separate production and development environments, isolated AWS accounts, network boundaries, and access controls to prevent cross-environment data exposure.
Google Cloud Platform
Glitter AI uses Google Cloud Platform for AI processing services including Vertex AI (Gemini) for video analysis and Cloud Vision API for OCR processing of documents and images.
Infrastructure Security
Glitter AI uses comprehensive infrastructure security including VPC isolation, security groups, encryption at rest and in transit, GuardDuty threat detection, and Security Command Center monitoring across AWS and GCP.
Separate Production Environment
Glitter AI uses separate production and development environments with isolated AWS resources, dedicated Supabase instances, and separate access controls to ensure production data security.