Define What AI Is Allowed to Know.
Semantic Firewall is a privacy-first infrastructure layer designed to sit between users and large language models, ensuring that sensitive information is never exposed during AI interactions. Instead of sending raw prompts directly to an external provider, Semantic Firewall analyzes the input locally, detects confidential details such as names, addresses, financial figures, identifiers, or proprietary terms, and replaces them with safe deterministic tokens. The AI model receives only the semantic meaning of the request, allowing it to generate useful responses without accessing the original data.
One of its core features is deterministic tokenization, which means the same sensitive value is always replaced with the same token during a session or across approved contexts. This preserves continuity for reasoning while protecting identity. For example, a company name may always appear as ORG_01, while a customer becomes PERSON_01. Combined with encrypted local mapping storage, only the user or authorized environment can restore the original information after the AI responds. This creates a secure rehydration process where the final answer remains useful and contextually accurate.
Semantic Firewall also includes a prompt minimization layer that removes unnecessary text before any request is sent to the model. Rather than oversharing full documents or conversations, the system can isolate only the relevant semantic portions needed for inference. This reduces exposure, lowers token costs, and improves performance. Additional protections such as rule-based redaction policies, confidence scoring, and fail-closed behavior ensure that if sensitive data cannot be safely processed, it will not be transmitted at all.
For organizations, Semantic Firewall can operate through a zero-trust relay gateway that supports multiple AI providers while enforcing consistent privacy policies. It can log only hashed metadata instead of raw prompts, support secure transport, and maintain compliance requirements without sacrificing functionality. Whether used by individuals, enterprises, or developers, Semantic Firewall redefines AI privacy by ensuring models receive intent instead of secrets.
- Semantic Firewall – A zero-trust privacy layer that transforms prompts before they reach an LLM, ensuring AI only processes abstracted intent while sensitive data remains local and protected. AGPLv3