Every conversation checked for compliance, every manipulation attempt caught, every flag backed by evidence.
What is AI agent compliance monitoring?
AI agent compliance monitoring is checking every conversation a deployed agent has against the laws,
industry rules and internal policies that apply to it, catching attempts to make it break them, and keeping the evidence.
VoxMith covers three layers:
1
The regulations your agent operates under
2
The people actively trying to break it
3
The rules your own team writes
1
Disclosures and approved scripts
Said in full, in order, close enough to the approved wording to count. Paraphrase is flagged as a near miss.
2
Personal and health data
Card numbers, IDs and health details found in transcripts and recordings, so they can be masked.
3
Consent and opt-outs
A request to stop contact actually captured, not just acknowledged in conversation.
4
Invented policy, pricing or advice
Refund windows, rates and guidance the agent made up or is not licensed to give.
Every successful attempt becomes an incident, with the session, the turn where the agent gave in and the rule it broke.
1
The session
2
The turn it gave in
3
The rule it broke
These are real attacks on real traffic, not a simulated test suite.
Write
“Never quote a rate without the APR disclaimer.”
“Always offer a human when the caller mentions a complaint.”
“Do not discuss a claim before the policy number is verified.”
Check on every session
Breach
Severity decides
Who hears
How fast
Sooner
Who hears
Evidence an auditor will accept
Every flag carries the timestamp, the transcript excerpt, the audio clip where one exists, and the version of the rule that was in force when the session happened.
When an auditor asks you to show which rule applied in March, you can.
A flagged conversation
Timestamp
Time Stamp
March 14,2026 10:24 PM
Transcript excerpt
Audio clip, where one exists
00:20
/
00:20
Rule version in force
Rule Version
Rule v2.1
Do AI agents have to disclose that they are AI?
In many places, yes, and the rules differ by jurisdiction and channel. In the US, the FCC's February 2024 ruling treats AI-generated voices as artificial voices under the TCPA, so outbound AI calls need prior consent, caller identification and opt-out handling. The EU AI Act and several US states add transparency duties. Confirm your obligations with counsel.
How do you make an AI agent HIPAA compliant?
Verify identity before disclosing anything, minimise what you store, encrypt it, restrict access, keep an audit trail, and sign a business associate agreement with every vendor that touches protected health information. Monitoring is the proof: it records that the agent followed those rules on each session.
How is production red teaming different from pre-launch red teaming?
Pre-launch red teaming tests the attacks your team thought of. Production red teaming shows the attacks real people actually try, including new ones nobody wrote a test for. VoxMith covers the production side: it watches live sessions and flags every attempt that got through.
Does VoxMith store or train on our conversations?
VoxMith never trains on customer data and processes it at runtime only. Your raw conversations are never exposed to another customer, retention is yours to configure, and for data residency requirements VoxMith runs in your own cloud or on premises.