Status Monitoring
Live service status is published at status.glitter.io, with incident history and scheduled maintenance.
Welcome to Glitter AI's Trust Center. Our commitment to data privacy and security is embedded in every part of our business.
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.
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.
For security inquiries or to request additional documentation, please contact our security team at security@glitter.io.
SOC 2 Type II Auditor: GRSee Consulting Live service status is published at status.glitter.io, with incident history and scheduled maintenance.
Google Cloud is Glitter AI’s primary cloud provider. It hosts the database and authentication stack, guide media behind Cloud CDN, video and audio processing on Cloud Run, and AI processing with Gemini and Cloud Vision. Keys and secrets are held in Cloud KMS and Secret Manager, and Cloud Audit Logs and Cloud Monitoring cover every project.
Glitter AI uses multi-layered DDoS protection via Vercel Edge Network, Google Cloud CDN, and Cloudflare with automatic mitigation, rate limiting, and brute-force login protection.
Glitter AI uses comprehensive BC/DR planning with 4-hour RTO and 24-hour RPO, including automated daily backups, replication across Google Cloud regions, and quarterly disaster recovery testing.
Glitter AI uses comprehensive capacity planning via Google Cloud Monitoring, Vercel Analytics, and Sentry with automated alerting on utilization thresholds, quarterly reviews, and a 99.9% availability SLO.
Glitter AI runs on Google Cloud (database, storage, processing, AI) and Vercel (web application hosting and edge network), with a legacy AWS footprint that only serves older media links.
Glitter AI uses cloud workload protection via Google Cloud Security Command Center for monitoring and Sentry for application security monitoring with real-time alerting.
Glitter AI uses environment segregation with separate production and staging environments in separate Google Cloud projects, network boundaries, and access controls to prevent cross-environment data exposure.
AWS is a legacy provider. Older guide media is still served from S3 behind CloudFront so links shared before the move to Google Cloud keep resolving. The remaining AWS accounts stay under the same monitoring and access controls as everything else.
Glitter AI uses VPC isolation, firewall rules, encryption at rest and in transit, Cloud Audit Logs, and Security Command Center monitoring across Google Cloud.
Glitter AI uses separate production and staging environments with isolated Google Cloud projects, a dedicated database stack per environment, and separate access controls to ensure production data security.