Sinaptic AI - 2026 Pricing, Features, Reviews & Alternatives

Sinaptic.AI is a browser based data protection extension designed to prevent the accidental leakage of personally identifiable information and protected health information to artificial intelligence platforms and services. The software functions as a real time security layer that intercepts and analyzes user input before sensitive data is transmitted to AI tools such as ChatGPT, Claude, and Gemini. It is built on Manifest V three architecture and targets enterprise organizations, compliance teams, chief information security officers, data protection officers, and individual professionals who require safeguards against inadvertent data exposure in AI interactions. The solution addresses shadow AI usage and data leakage risks while maintaining alignment with the M three Framework for secure AI adoption in organizational environments.

The core detection engine operates through a hybrid scanning methodology that combines regular expression pattern matching with natural language processing capabilities to identify credit card numbers, email addresses, API keys, authentication tokens, and categories of PII and PHI before information exits the browser environment. Smart validation logic reduces false positive detections through implementation of the Luhn algorithm for credit card verification and context aware analysis that distinguishes genuine sensitive data from random numerical sequences. The network interception functionality injects directly into the page context to intercept outbound network requests at the source level, giving granular control over data transmission. Visual feedback mechanisms highlight detected sensitive information within text input areas using non intrusive wavy underlines and contextual tooltips, creating an educational layer that informs users about potential data exposure in real time. The extension supports custom rule configuration, allowing administrators to establish exclusion parameters for specific domains or values and to control operational modes or maintain whitelists of approved domains.

All data processing occurs locally on the user device with zero server side transmission of analyzed content. Local logging capabilities maintain incident records with hashed and masked values for security purposes, retaining data for a defined period in the community edition. The enterprise edition extends functionality to include centralized policy management across the organization and integrates with security information and event management platforms such as Splunk and Datadog for consolidated incident reporting and analysis. Single sign on authentication and directory synchronization work with identity providers such as Okta and Active Directory for streamlined user management.

Silent installation packages and Group Policy configuration facilitate large scale deployment across networked workstations. The incident reporting dashboard provides visibility into detection events and policy violations across an organizational device fleet. Device identification employs privacy preserving fingerprinting techniques to track incidents without collecting personal user data. The audit and logging framework generates compliance reports while maintaining user privacy through data masking protocols and supporting regulatory frameworks including GDPR and HIPAA.