Brilo AI enforces SecurityPolicies by applying configurable call-time controls, content filters, and routing rules to every Brilo AI voice agent interaction. Administrators upload policies that map to call flows and to specific Brilo AI voice agent capabilities, such as transcription, call recording, and data redaction (redaction). When a policy triggers, Brilo AI either masks sensitive fields, prevents recording, raises an alert, or routes the call to a human agent based on confidence thresholds (confidence threshold). These controls run in real time and are logged for audit and troubleshooting.

Q: How does Brilo AI stop agents from recording sensitive information? A: Brilo AI applies recording rules to calls that match SecurityPolicies; when a rule matches, recording is disabled or redacted and a policy event is logged.

Q: Can Brilo AI prevent an agent from asking for payment or ID? A: Yes. Brilo AI enforces safe-workflow rules that prevent the Brilo AI voice agent from requesting actions outside approved scripts when those SecurityPolicies are enabled.

Q: Will Brilo AI alert a supervisor when a policy is breached? A: When configured, Brilo AI emits policy events and can escalate the call to a human agent or notify an endpoint for review.

Customers want to ensure that automated voice interactions follow the same internal policies that live agents follow. Brilo AI voice agent capabilities can access and surface sensitive data, make routing decisions, and generate transcripts. Buyers need to know how SecurityPolicies prevent accidental disclosure, enforce approvals, and integrate with existing monitoring and audit processes.

Brilo AI enforces SecurityPolicies through three coordinated layers: detection, decision, and action. Detection uses live speech-to-text and metadata rules to identify policy-relevant content. Decision evaluates configured rules and confidence thresholds against the Brilo AI voice agent call state. Action applies the configured outcome, such as masking, redaction, stop-recording, or transfer to a human agent.

In Brilo AI, SecurityPolicies is a set of rules that map triggers (keywords, data types, call metadata) to outcomes (mask, redact, escalate).

In Brilo AI, a confidence threshold is the minimum score the Brilo AI voice agent must exceed before it auto-acts; falling below triggers a handoff.

In Brilo AI, call redaction is an automated process that replaces or removes identified sensitive content from transcripts and stored audio according to policy.

Brilo AI policy rules can be assigned at account, team, or individual voice agent levels. Rules evaluate spoken content, DTMF input, and call metadata. Policy evaluation happens inline so the Brilo AI voice agent call handling features either continue within the allowed workflow or execute the fallback action.

Brilo AI SecurityPolicies are designed to limit automation rather than promise perfect prevention. Brilo AI enforces guardrails such as maximum allowed call duration, model context limits to bound latency, and safe-behavior rules that stop the Brilo AI voice agent from performing unapproved regulated actions. Policy outcomes are deterministic: mask, redact, stop recording, escalate, or log.

Brilo AI does not change client-side retention rules unless configured to; administrators must set retention and export settings. Policy detection depends on configured triggers and the Brilo AI voice agent’s transcription accuracy. If a phrase is mis-transcribed, the corresponding SecurityPolicy may not trigger. For high-risk workflows, Brilo AI recommends conservative thresholds and escalation to human agents.

Healthcare example: A clinic configures a SecurityPolicies rule that detects protected health information (PHI) keywords during appointment calls. When the Brilo AI voice agent detects PHI, the policy redacts that text from the transcript, disables call recording for the segment, and routes the caller to a clinician for verification.

Banking/insurance example: A financial services team configures SecurityPolicies to block the Brilo AI voice agent from collecting full card numbers. When a caller begins to read payment details, the Brilo AI voice agent masks digits in the transcript, prompts for a secure payment link, and logs a policy event for compliance review.

Brilo AI routes calls to humans when policies require human review or when confidence thresholds drop below the configured level. Handoffs can be immediate or staged: the Brilo AI voice agent first alerts the caller that a human will join, then transfers the call using the configured routing method. Policy events and the portion of the transcript that led to the escalation are captured in the audit log for the receiving agent.

For guidance on scaling and call-volume behavior while enabling policies see the Brilo AI call volume guide: Brilo AI call volume scaling guide.

Applying SecurityPolicies to Brilo AI voice agent call handling reduces accidental data exposure, standardizes agent behavior, and creates an auditable trail for regulated workflows. Buyers typically see reduced EDR incidents related to voice interactions, fewer human escalations in well-tuned workflows, and faster resolution times when policies automate safe fallbacks.

Q: How quickly do SecurityPolicies apply during a live call?
A: Policy evaluation runs in real time as the Brilo AI voice agent transcribes audio. Typical policy-triggered actions such as masking or escalation occur within the same call session.

Q: Can I restrict recording for only parts of a call?
A: Yes. Brilo AI supports segment-level recording controls so policies can stop or start recording based on rule matches during the call.

Q: Are policy events logged for audit?
A: Yes. When a SecurityPolicies rule triggers, Brilo AI creates an auditable event that includes the rule ID, timestamp, call metadata, and the outcome.

Q: Do policies depend on transcription accuracy?
A: Yes. Detection uses Brilo AI’s transcription. For highly sensitive workflows, raise detection sensitivity and prefer human handoff when in doubt.

Q: Can policies call external validation services?
A: Brilo AI can send policy events to your webhook endpoint for external validation or additional processing when configured.

Review Brilo AI’s implementation guidance for call scaling and policy testing in the Help Center article on performance and call volume: Brilo AI call volume scaling guide. For privacy-focused configuration examples, read Brilo AI’s resources on handling patient data: How Brilo AI protects patient data.