At Cognitiveview, we're committed to earning and maintaining your trust. That starts with giving you a transparent look into our security practices and the lengths we go to protect your information. Whether you're jotting down ideas, or creating captivating copy—we're committed to keeping your work secure.
When integrating with third-party observability tools, our APIs are designed to collect and transmit only metadata and operational metrics—such as request rates, response times, error rates, and system health indicators—not real customer data or sensitive payloads.
This approach ensures that while we gain deep visibility into model and agent performance, security, and risk, we do so without ever exposing or transferring actual customer data.By focusing on metadata and metrics, we align with best practices for privacy and compliance, reduce regulatory risk, and maintain strong data boundaries.
This means our observability integrations provide actionable insights for monitoring and troubleshooting, while fully respecting customer confidentiality and data protection requirements.
Cognitive View’s SaaS platform with strong technical and operational controls to protect sensitive data. Designed for use in regulated industries, we maintain a robust Information Security Management System, covering:
Cognitiveview's intuitive features empower you to effortlessly set up, manage,
and optimize your email marketing campaigns
All data stays internal and there no API exchange with third parties, is encrypted at rest and in-transit
Role-based access controls for platform, application, and data management.
SIngle sign-on, multi-factor authentication, and secure in-platform messaging and data transfers
Each organization can maintain ownership of their data
Each organization’s data is securely housed in a separate tenancy
We follow industry-standard best practices for our secure cloud architecture.
We conduct robust internal testing and work with industry-leading third parties for penetration testing
Completed AWS FTR & SOC2 in progress
AI workflow automation with flexibility of three modes of operation:
Human interaction, Human approval, and Autonomous.
The co-pilot mode supports an interactive approach augmenting decision making
Automation that requires humans in the loop and approval in decision-making
AI independently executes the workflow with pre-defined tasks and constraints