All policies
v1

Security Policy

Effective 5/1/2026

Overview

Aware AI is committed to protecting user data, maintaining platform integrity, and operating with security-first principles across our infrastructure, AI systems, cloud services, integrations, and internal operations. This Security Policy outlines the safeguards, practices, and operational controls implemented to protect user information and maintain platform reliability.

Security Principles

Aware AI is designed around the following core security principles: - Least-privilege access - Encryption-first architecture - Secure-by-default infrastructure - Minimal data exposure - Continuous monitoring and auditing - User-controlled integrations and permissions - Layered authentication and access controls - Responsible AI system design

Infrastructure Security

Aware AI uses modern cloud infrastructure providers and managed services designed for high availability and enterprise-grade security. Security measures include: - HTTPS/TLS encryption for all network traffic - Encrypted cloud storage and databases - Managed infrastructure with continuous patching and monitoring - Role-based access controls (RBAC) - Environment isolation between production, staging, and development - Secrets management for API keys and credentials - Rate limiting and abuse prevention systems - Infrastructure logging and anomaly monitoring

Data Encryption

Aware AI protects data both in transit and at rest.

Data In Transit

All communications between users, integrations, APIs, and platform services are encrypted using TLS.

Data At Rest

Sensitive data stored within Aware AI infrastructure is encrypted using industry-standard encryption methods provided by trusted cloud infrastructure vendors.

Authentication and Access Control

Aware AI implements layered authentication and access management systems. These include: - Secure authentication providers - Session validation and expiration controls - Access-token verification - User-scoped authorization rules - Multi-layer permission enforcement - Audit logging for sensitive operations Administrative access is restricted to authorized personnel with role-specific privileges.

AI Memory and User Context

Aware AI includes memory, contextual intelligence, and retrieval systems designed to improve personalization and continuity. Security measures include: - User-scoped memory isolation - Permission-based retrieval systems - Vector embedding isolation per user - Retrieval validation and filtering - Access-controlled contextual systems - Controlled orchestration pipelines Aware AI does not intentionally expose one user's memory or contextual data to another user.

Third-Party Integrations

Aware AI may integrate with external services such as email providers, calendar providers, cloud storage platforms, financial services, productivity platforms, and AI model providers. Users explicitly authorize integrations before data access occurs. Aware AI only requests permissions necessary to provide requested functionality. Third-party integrations operate under their own security and privacy policies.

Data Retention and Persistence

Aware AI uses persistent cloud-based storage systems to maintain conversations, memory, preferences, and continuity features. Security protections include: - Structured persistence validation - Retry-safe storage systems - Conflict protection safeguards - Recovery and integrity verification systems - Access-controlled storage - Audit logging for critical persistence operations Users may request deletion of their data in accordance with applicable laws and platform policies.

Monitoring and Abuse Prevention

Aware AI maintains monitoring systems designed to identify unauthorized access attempts, abuse and spam behavior, suspicious authentication activity, service instability, excessive API usage, and potential security anomalies. Access may be limited, suspended, or revoked for users engaging in abusive or malicious behavior.

Vulnerability Management

Aware AI continuously works to identify and remediate security vulnerabilities. Security activities may include dependency updates, infrastructure patching, logging and monitoring reviews, access audits, internal testing, and security hardening reviews. Critical vulnerabilities are prioritized for immediate remediation.

Responsible AI Usage

Aware AI includes safeguards intended to reduce harmful or abusive use of the platform. The platform may restrict or refuse malicious automation, fraudulent activity, unauthorized surveillance, harmful exploit generation, abusive content generation, and attempts to bypass platform safeguards. Aware AI reserves the right to suspend access for violations of platform policies.

Incident Response

Aware AI maintains internal processes for investigating and responding to security incidents. Response procedures may include incident investigation, temporary containment measures, credential rotation, service mitigation, infrastructure review, and user notification when appropriate.

User Responsibilities

Users are responsible for maintaining the security of their accounts, protecting authentication credentials, managing connected integrations responsibly, reviewing permissions granted to third-party services, and using the platform in accordance with applicable laws and policies.

Compliance and Legal

Aware AI may update this Security Policy periodically as the platform evolves. Continued use of the platform constitutes acceptance of updated policies. Nothing in this policy should be interpreted as a guarantee against all possible security incidents or threats.

Contact

Security-related questions or reports may be directed to support@stayaware.ai. If you believe you have identified a security vulnerability, please include a description of the issue, steps to reproduce, relevant screenshots or logs, and contact information for follow-up.