JagAI Privacy Architecture: How We Protect Your Data While Detecting Threats
Lina V.
The Privacy-Security Tension
Security tools need to analyze files and behavior to detect threats. This creates an inherent tension with privacy - how do you inspect data for threats without exposing it? JagAI resolves this tension through a privacy-first architecture that performs analysis locally and shares only the minimum information necessary for collective defense.
Local Analysis First
All file scanning, behavioral analysis, and threat scoring happens on your device. Your documents, emails, and files are never uploaded to external servers for analysis. The JagAI model runs locally, using your device's processing power to evaluate threats. This means your sensitive data never leaves your control, and analysis continues to work even without an internet connection.
What We Share (and What We Do Not)
True Protection shares anonymized threat telemetry with our cloud intelligence network: file hashes (not file contents), behavioral signatures (not raw activity logs), and detection results. This information helps improve detection for all users - when one True Protection endpoint detects a new threat, the intelligence is shared to protect everyone. We never share filenames, file contents, user identities, or browsing history.
Transparency and Auditability
True Protection provides a detailed log of every piece of data shared with our cloud services. Administrators can review this log at any time to verify our privacy claims. Enterprise customers can configure the level of telemetry sharing, including the option to operate in fully offline mode with no cloud communication. Our privacy practices are documented in plain language, and our browser extension source code is publicly available for independent review.