Direct Answer (TL;DR)
Yes. Brilo AI supports Redaction so sensitive information can be automatically detected and masked in live calls and stored transcripts when configured. Redaction works by combining real-time transcription, sensitive data detection, and transcript filtering to remove or replace personally identifiable information before it is stored or forwarded. You control what is redacted, where the redacted transcript is saved, and when supervisors can view the unredacted audio for investigation. Brilo AI Redaction can be configured to run during the call (live redaction) or as a post-call process.
Can Brilo AI mask PII during calls? — Yes. Brilo AI can be set to detect and mask personally identifiable information in live and stored transcripts.
Will redaction remove audio or only text? — Brilo AI can mask text in transcripts automatically; audio obfuscation is handled as a separate workflow when enabled.
Can redaction be limited to specific fields like account numbers? — Yes. Brilo AI supports configurable detection rules so only chosen data types (for example, account numbers or social IDs) are redacted.
Why This Question Comes Up (problem context)
Enterprises ask about Redaction because regulated teams need to reduce exposure of sensitive data across transcripts, logs, and integrations. Security and compliance, risk teams, and contact-center ops want assurance that social security numbers, health details, or account numbers won’t be leaked into downstream systems. Buyers also need predictable behavior for coaching, quality, and dispute resolution workflows where some users must see unredacted content while broader teams should only see redacted data.
How It Works (High-Level)
Brilo AI Redaction is driven by real-time speech-to-text and configurable detection models that scan transcripts for sensitive items, then apply masking or replacement rules. In practice, Brilo AI can run redaction at two points: during the live call (live transcript filtering) or after the call during post-processing. Administrators define which data types to detect (for example, numeric IDs, credit card patterns, or named entities), choose the masking style, and select which storage or integrations receive the redacted output.
In Brilo AI, redaction is the configurable process that detects and masks sensitive text in live or stored transcripts.
In Brilo AI, sensitive data detection is the component that applies pattern, context, and entity recognition to identify information to redact.
In Brilo AI, transcript filtering is the workflow that replaces or removes detected items before a transcript is saved or forwarded.
See Brilo AI phone answering system overview for how transcripts and routing fit into overall call handling: Brilo AI phone answering system overview
Related technical terms used in this article: real-time transcription, sensitive data detection, transcript filtering, PII masking, speech-to-text, audio obfuscation.
Guardrails & Boundaries
Brilo AI Redaction is designed to reduce data exposure but is governed by explicit guardrails you configure. Brilo AI will not assume which categories to redact—administrators must enable detection rules and masking policies. Brilo AI does not automatically stop all downstream copies of data unless routing and integration filters are configured to accept only redacted outputs.
In Brilo AI, a redaction policy is the rule set that determines which data types are detected and how they are masked.
Key guardrails and limits:
Detection depends on the patterns and models you enable; false positives and negatives are possible and should be validated in pilot runs.
Unredacted audio may still exist if audio archiving is enabled; audio obfuscation must be enabled separately if you require audio-level masking.
Supervisors can be granted controlled access to unredacted transcripts for investigations; access should follow your internal review policy and least-privilege practices.
For enterprise compliance controls and real-time compliance monitoring features you can enable, see Brilo AI TCPA & DNC compliance page: Brilo AI TCPA & DNC compliance page
Applied Examples
Healthcare: A Brilo AI voice agent receives patient calls and automatically masks patient identifiers (name, date of birth, medical record number) in the stored transcript so care-coordination logs contain only redacted text. Clinical teams who need access to full records can request an audited unredacted view under a controlled supervisor workflow.
Banking: A Brilo AI voice agent identifies and masks account numbers and card digits during customer service calls. The redacted transcript is exported to the CRM while the secure audit trail records detection events without exposing full numbers.
Insurance: Brilo AI redacts policyholder SSNs and claimant identifiers before claims notes are written into downstream underwriting systems, with a limited unredacted view available to claims investigators through an approval workflow.
(Do not treat these examples as legal or compliance advice. Work with your compliance team to map redaction settings to regulatory obligations.)
Human Handoff & Escalation
When redaction is enabled, Brilo AI workflows can still hand off to a human agent without exposing redacted values to unauthorized staff. Common patterns:
Soft handoff: Brilo AI masks sensitive fields in the transcript and then routes the call to a live agent; the agent sees a redacted transcript and asks the caller to re-confirm information if needed.
Escalation with audit: If Brilo AI detects high-risk content, it flags the call and creates a supervisor alert. A supervisor with elevated permissions can view the unredacted transcript and audio after an approval log is recorded.
Conditional unredaction: Brilo AI can be configured to unredact fields only when a scripted verification step succeeds (for example, after identity verification performed by the agent).
These handoffs are workflow-based and require role-based access control and audit logging in your Brilo AI configuration.
Setup Requirements
Define the redaction policy: Identify which data types to detect (for example, account numbers, SSNs, or specific PHI terms).
Configure detection rules: Turn on pattern and entity detectors in the Brilo AI console and choose masking style (for example, fixed replacement text or partial masking).
Enable transcript filtering: Select whether redaction runs live during calls or as a post-call process.
Assign access roles: Grant supervisor roles that can view unredacted content and enable audit logging for any unredaction event.
Integrate with your systems: Map the redacted transcript output to your CRM or webhook endpoint and confirm downstream systems only accept the redacted payload.
Test with pilot calls: Run sample calls to validate detection accuracy and adjust rules before broad rollout.
For guidance on configuring voice agent behavior and routing that interact with redaction, see the Brilo AI virtual receptionist setup guide: Brilo AI virtual receptionist setup
Business Outcomes
When implemented correctly, Brilo AI Redaction reduces sensitive-data exposure in transcripts and downstream systems, lowers manual review workload, and supports safer sharing of conversation insights across teams. It helps contact-center ops maintain tighter control over access to sensitive content and enables faster integration of voice data into analytics and CRM systems while limiting data proliferation. Outcomes depend on the completeness of detection rules, downstream integration filters, and your access-control practices.
FAQs
Can Brilo AI redact audio as well as text?
Brilo AI redacts text in transcripts by default. Audio-level obfuscation (for example, voice masking or audio replacement) is available as a separate workflow and must be enabled and routed according to your retention and access policies.
How accurate is automatic detection of sensitive fields?
Accuracy depends on the patterns and entity models you enable and the quality of the transcription. Brilo AI provides configurable detectors and a testing mode so you can tune rules and review false positives/negatives before full deployment.
Can I allow only certain teams to see unredacted transcripts?
Yes. Brilo AI supports role-based access to unredacted content; you can configure supervisor roles and require an approval log for any unredaction event.
Does redaction prevent sensitive data from being written to my CRM?
Redaction prevents the Brilo AI transcript payload from containing sensitive items when you map the redacted output to your CRM, but you must ensure your CRM integration uses the redacted output and that no alternate exports send unredacted content.
How do I validate redaction before going live?
Run a pilot with known test phrases and edge cases, review the detection logs, and tune rules. Use Brilo AI’s live transcript view in monitoring mode to see redaction behavior during test calls.
Next Step
Review how Brilo AI turns calls into safe, routed transcripts in the Brilo AI call intelligence overview: Brilo AI call intelligence resources
Explore integration options for storing redacted outputs and writing structured data to back-end systems: Integrate Brilo AI with Sapiens and data sinks
Contact your Brilo AI implementation team to schedule a redaction pilot and define detection policy needs.