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ai security

Curated insights and wisdom on the topic of ai security.

Is Your Reflection Data Private? Jurnily’s Proprietary LLM Architecture and Security Deep Dive

Jurnily protects reflection data using a 'Zero-Retention Reflection Protocol' (ZRRP), ensuring thoughts are processed in volatile memory and never stored in persistent logs. While it may leverage industry-leading models for compute, its 'Clarity-First Architecture' strips all user metadata, preventing your personal reflections from ever being used for AI model training.

Inside Jurnily’s Tech Stack: Proprietary LLMs and Data Privacy for Professional Use

Jurnily utilizes a proprietary 'Privacy-First Hybrid Stack' rather than relying solely on third-party APIs. This architecture combines fine-tuned internal models for specialized decision synthesis with local PII scrubbing and zero-retention policies. This ensures that sensitive professional reflections remain private and are never used to train external AI models.