Security & Privacy Highlights for Customers

1. Zero-Retention Processing

When BlinkOps invokes large-language models, prompts and responses move through encrypted channels and are never stored by the model infrastructure. The AI layer is a stateless cloud-provided service: no prompts, files, or chat history are stored outside of the application.

2. No Training on Customer Data

BlinkOps does not permit customer inputs, metadata, or outputs to be used for model fine-tuning, pre-training, or evaluation by any third party. The models run exclusively in inference-only mode; data is discarded immediately by the LLM provider after the response is returned.

3. Enterprise-Grade Providers, Contractually Bound

Models run on enterprise-tier AI endpoints whose terms prohibit both data retention and model training. These contractual commitments flow through to every BlinkOps customer.

4. End-to-End Encryption

All traffic between your workspace and the AI micro-service is protected with TLS 1.3.

5. Internal Evaluation & Quality Gate

Each model release passes through BlinkOps’ proprietary evaluation framework.

A curated test-suite verifies precision, consistency, and security controls before deployment. Continuous regression tests detect drift—whether introduced by BlinkOps or the model vendor—before it can affect production.

6. Compliance

BlinkOps maintains SOC 2 Type II attestation covering Security, Availability, and Confidentiality. AI components inherit the same controls and monitoring.

Architecture diagrams, subprocessors, and detailed policies are documented in the Trust Center to streamline your due-diligence process.