11. June 2025
Introduction
Big data is no longer an emerging trend, it is the operational baseline. We are living in its era, not preparing for it. Massive amounts of high-volume data flow every minute continuously from connected vehicles, transit systems, industrial equipment, smartphones, and smart-city infrastructure. (Source: McKinsey Global Institute)
Videos which were previously too resource-intensive to process at scale, are now a primary data source due to advances in storage and AI acceleration. Nowadays, wherever people move: whether on city streets or inside a car, there is a recording device that captures valuable footage that fuels innovation in this big data generation. However, these same recordings contain personally identifiable information (PIIs), which must be protected under regulations such as GDPR in Europe and emerging global privacy laws like PIPL in China and CCPA in California, United States. Scaling anonymization across video petabytes is an essential requirement and not just an option. (Source: A&O Shearman)
Why Scale Matters in Anonymization
Today’s video data is high-volume, high-velocity, and highly sensitive. Every recording from a vehicle, traffic light, or smart device can contain personally identifiable information (PIIs). Regulations require strict protection of this data but redacting petabytes of it is a daunting task.
That’s where brighter AI steps in:
Our solution enables:
- Improved compliance with GDPR and similar privacy legislations
- AI-powered anonymization of faces, full bodies, and license plates
- Horizontal scalability for high-throughput demands e.g. brighter Redact Online or brighter Redact API
- On-premise deployment is also supported
Scale Your Anonymization Without Maintenance
The fastest way to begin anonymizing large video and image workloads is to use our fully managed brighter Redact Online offering running on Microsoft Azure. Via our REST API exposed under api.brighter.ai, you can post, inspect, and finally download your anonymized workload.
We offer a user-friendly web interface and a robust API to integrate anonymization into your existing workflows:
Option 1: Use the Web App
- Log in to portal.brighter.ai
- Upload your media files
- Choose Redaction Type: Precision Blur, Full Body Blur, or DNAT
- Download your anonymized files
Option 2: Use the REST API
Developers can leverage our endpoint at api.brighter.ai:
- Submit files programmatically
- Monitor job status
- Retrieve anonymized results
Use the redact client for integration with Python projects
Below visual representation of How Easy it is to use brighter Redact Online:
Step 1: Go and login to portal.brighter.ai
Step 2: Upload your files and select your desired redaction from: Precision Blur, Full Body Blur or DNAT
Step 3: Once the redaction is completed, download your files.
Our solution is built for horizontal scaling; when you increase the provided workload, up to hundreds of Azure nodes spin up automatically reaching multiple thousands of frames per second in throughput. As we own the entire stack, you never need to worry about patches, GPU drivers, or Kubernetes upgrades. Everything is handled by our engineering teams. For example, here is our blog post on how we mitigated the IngressNightmare.
Guided by a privacy-by-design philosophy, brighter Redact Online layers multiple defenses. To mention a few layers, we have gathered some examples:
We separate production and development networks for restricted access. Traffic enters our service API only over TLS-encrypted channels. All databases, message queues, and disks are encrypted at rest. Continuous audit logging captures activity across both of our Azure resources and our corporate network. For any customer-provided data, we have a data retention policy of one day.
Our full security posture extends over several other layers; to include them all, would stretch the blog post. To underline our responsibility when it comes to data security, we recently participated in a TISAX assessment. The assessment result underscores the maturity of our security posture, an assurance your compliance office will appreciate.
To get familiar with our anonymization solution, we recommend our web app. Just upload your media, configure anonymization settings, and download finalized jobs. (Refer to the steps given above). Developers can integrate brighter AI programmatically by sending requests to our REST endpoint at https://api.brighter.ai. The full specification lives in our documentation portal, and a step-by-step tutorial shows how to submit a task, poll for status, and download redacted results in minutes. To fully integrate into existing Python projects, we also provide a client called redact-client. This is our public Python repository which can be used as CLI or for importing into your existing Python projects. Whether you process individual clips from in-vehicle recorders or batch-submit entire directories collected during fleet testing, our under-the-hood Kubernetes cluster scales horizontally depending on the workload.
Get Started Today
If your 2025 roadmap includes improving data privacy, it’s time to future-proof your workflows. With brighter AI, you get a high-speed anonymization engine and enterprise-grade security, without lifting a finger to maintain infrastructure.
Want a demo? Contact our sales team at sales@brighter.ai
We are happy to guide you through a tailored solution for your needs.
