Security + compliance

PII redaction

PII redaction is the process of removing or masking personally identifiable information from transcripts, logs, and stored records so avatar systems retain less sensitive user data.

How PII redaction works

PII redaction removes or masks personally identifiable information from transcripts, logs and other stored records. In avatar systems, that can include names, email addresses, phone numbers, account IDs or other sensitive details a user says during a session.

The goal is to reduce what gets retained after the live conversation. The avatar may need to hear the information in the moment, but the product does not always need to store it in plain text afterwards.

A concrete example: a support avatar asks for an email address to look up an account. PII redaction can replace that email in the transcript before the log is stored or reviewed.

Redaction is not a complete privacy strategy by itself. It should work alongside access controls, retention limits, encryption and clear rules about which data the avatar is allowed to collect.

What Anam ships

Anam's Cara-4 model delivers expressive real-time avatars with around 150 ms server-side avatar-generation latency once a session is running, across 70+ languages. Builders use JavaScript and Python SDKs or integrations for LiveKit, Pipecat, ElevenLabs Agents, Agora, and VideoSDK. Bring any AI stack including OpenAI, Claude, Gemini, Mistral, Groq, Deepgram, Cartesia, or custom providers. The platform supports WebRTC delivery, SOC 2 Type II, HIPAA, zero data retention, and regional data residency. Sessions stream low-latency audio and video to browsers and native apps.

Frequently asked questions

What is PII redaction in avatar systems?

PII redaction detects and removes or masks personal information from transcripts, logs, prompts, recordings, or analytics before that data is stored or shared.

Why does PII appear in avatar sessions?

Users naturally share names, emails, phone numbers, account details, health information, addresses, and other sensitive context when they speak to a support or onboarding agent.

Should PII redaction happen in real time?

Where possible, yes. Real-time or pre-storage redaction reduces the chance that sensitive data ends up in logs, model traces, analytics, or downstream tools.

What PII should avatar teams look for?

Common targets include names, emails, phone numbers, addresses, account IDs, payment details, government identifiers, health information, and any domain-specific sensitive fields.

Last updated: 17th July 2026 · Reviewed quarterly.

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