Agent memory: preserve context without accumulating personal data
Long context can extend exposure. Separate what an agent needs to remember from the identity of people mentioned in a conversation.
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Radar
AI engineering with practical applications for privacy, models and integrations.
Autonomous agents: constrain tools and process incoming data
An isolated runtime controls what an agent can do. Privacy also requires controlling the content it sends to AI.
Read articleAudio and AI: transcripts need a data policy too
Turning speech into text changes the format, not the sensitivity. Evaluate every stage before introducing audio into a workflow.
Read articleLocal inference: evaluate performance and exposure in the same test
Running a model close to data can change the architecture. It does not replace input processing, access control or real evaluation.
Read articleEvaluate agents with less context and explicit criteria
A more elaborate workflow does not always improve outcomes. Compare components by task quality, consumption and data exposure.
Read articleSharing model context also shares data risk
Internal representations do not make information anonymous. Define data boundaries before connecting multiple models.
Read articleAgent loops: simplify workflows without expanding permissions
Fewer components can ease maintenance. Data and action boundaries must remain explicit at every step.
Read articleInference caching: evaluate performance and isolation
Efficient memory can improve service capacity. The design must also prevent one session's context from appearing in another session.
Read articleDocument RAG: process data before composing the answer
Retrieval can combine information from several documents. Privacy must follow retrieval, context assembly and the answer.
Read articleEncryption and privacy: secure transit and reduce content
An encrypted connection protects transit. The recipient still receives what you send, so policy must act before delivery.
Read articleStreaming speech: protect personal data before transcription
Real-time ASR and translation models can process speech containing personal data; Rota Nacional’s privacy barrier applies the organization’s policy before a model runs.
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