Security is built into Fred from the first layer.
Fred helps teams work with research evidence, participant data, reports, and AI-assisted insights. That work deserves a platform designed around trust. Fred combines reviewed cloud architecture, Cloudflare protection, controlled access, and privacy-aware workflows so teams can run research with confidence.
AWS Well-Architected Framework
Reviewed cloud architecture
Fred holds an AWS Well-Architected Framework badge, reflecting a cloud architecture reviewed against established AWS practices.
Cloudflare protection
Protected before requests reach the platform
Fred uses Cloudflare as part of its external security layer, helping protect the public-facing platform at the edge.
Reduced exposure
Designed to limit unnecessary surface area
Fred's architecture is designed to keep critical platform operations controlled, separated, and protected from unnecessary public exposure.
Security-first by design
Built to protect sensitive research work.
Research teams handle evidence that can be personal, strategic, and commercially sensitive. Fred is designed around that reality. From study setup to analysis and reporting, the platform helps teams keep research activity inside controlled workflows instead of spreading sensitive material across disconnected tools.
Reviewed foundation
Fred is built on a cloud architecture reviewed through the AWS Well-Architected Framework.
For buyers, this provides a visible trust signal that Fred's infrastructure decisions have been assessed against recognized AWS architecture practices.
Edge protection
Fred uses Cloudflare to help protect the public-facing platform before requests reach the application environment.
External protection is part of the platform posture, helping Fred reduce risk before traffic reaches core product systems.
Controlled architecture
Fred is designed to reduce unnecessary exposure across the platform.
The public message is simple: Fred limits what needs to be exposed, keeps critical operations controlled, and treats architecture as part of security.
Research trust
Fred is built for teams that work with sensitive research evidence, participant inputs, insights, and reports.
Research work can be personal, strategic, and commercially sensitive, so Fred treats protection as a product principle rather than a technical afterthought.
Layered safeguards
Security that supports the full research lifecycle.
Fred's security posture starts before traffic reaches the platform. Cloudflare supports the external protection layer, while Fred's cloud architecture is designed to reduce unnecessary exposure and keep critical platform operations controlled.
Inside the product, Fred is shaped around research evidence, participant inputs, AI-assisted insights, team collaboration, reports, and decision records. These are the materials that make research valuable, and they are the reason Fred treats security as part of the product foundation.
The result is a platform that helps research teams move fast without treating security as a compromise. Fred gives teams a controlled environment for collecting evidence, analyzing insights, and sharing reports with the people who need them.
Enterprise confidence
Ready for serious security conversations.
Whether a team is running a quick validation study or managing research across clients and stakeholders, Fred gives them a structured environment for evidence, insights, and reports. Enterprise teams can also review architecture, governance, access expectations, and rollout needs during evaluation.
Access and governance
Enterprise discussions can cover workspace access, team roles, ownership expectations, and rollout governance.
Security review
Organizations can review Fred's cloud architecture posture, Cloudflare protection, platform safeguards, and policy documentation during evaluation.
Research operations
Teams can discuss how Fred supports privacy-aware research workflows, evidence handling, AI-assisted analysis, and reporting.
Public documents
Clear policies for serious buyers.
Security marketing should create confidence. Legal and policy pages provide the formal details. Fred's privacy policy, cookie policy, and terms give buyers a clear place to review data handling, processing, platform use, and service conditions.