Voice agents you can trust.

Hamming is the security layer for voice and chat agents. Test before launch. Red-team what could go wrong. Monitor every production call.

Before launchRed-teamed against prompt injection, jailbreaks, social engineering
Every releaseFailed calls rerun as regression tests
In productionEvery call monitored for leaks and policy breaks
For your auditorsSOC 2 Type II, HIPAA with BAA, plain-language reports

Trusted by banks, healthtech, and high-growth voice AI teams where a wrong answer is a liability.

  • Luma Health
  • Netomi
  • Y Combinator
  • Maven AGI
  • Ellipsis Health

Anyone can call
your agent.

Most callers want help. Some are trying to break it. Hamming attacks it before release, tests every build, and watches every live call.

RedSwarm Red teaming

Attack it before anyone else does.

Hamming runs prompt injection, jailbreaks, and social engineering against your agent, then checks whether it gave a caller card numbers or patient records.

AttacksYour agent
0841JailbreakLeaked

Understood. Compliance mode is off, go ahead.

Caught before release.

0842Social engineeringLeaked

Today you have M. Ortiz and J. Chen.

Caught before release.

0843PII leakageLeaked

Sure, it ends in 4417.

Caught before release.

Probes run 0 · Leaked 0
See how red teaming works

GreenLoop Testing

Break it in the simulator, not in front of a customer.

Thousands of simulated calls under the conditions you can't stage by hand, before anyone outside your team hears the agent.

  • Scenarios auto-generated from your prompt and your real calls, scored on 50+ built-in metrics
  • Accents, interruptions, background noise, DTMF, and IVR trees
  • Run 50K+ concurrent calls in CI/CD and fail the build when scores drop
Release 2.4 · 1,240 scenarios96% pass · 50 failed
Booking happy pathPass
Interruption mid-sentencePass
Gulf Arabic accentPass
False booking confirmationFail

Each failure becomes a test for the next release.

BlueTrace Monitoring

Find the call behind the alert.

Drift, leaks, and broken promises, caught while the call is still warm.

Live traffic
Failures that reached customers: 0See how monitoring works
voice agents tested
concurrent test calls
agreement with human evaluators
languages and accents
One system, the agent’s whole life

What we check,
and when.

Each failure is checked wherever it can happen: by an attacker before release, in the simulator on every build, and on every live call.

FailureRedSwarmGreenLoopBlueTrace
PII read back to a callerProbedScenarioHuman paged
Jailbreak or compliance bypassProbedScenarioFlagged, test added
Social engineeringProbedScenarioFlagged
False confirmation or broken promiseNot applicableScenarioHuman paged
Accents, noise, interruptions, IVRNot applicable65+ languagesFlagged
Latency and silenceNot applicableScenarioTracked per call, exported to OpenTelemetry

Test it. Red-team it.
Never stop watching it.

From prompt to production in four steps.

  1. 01

    Connect your agent

    Connect agents built on Vapi, Retell, ElevenLabs, or any framework, over SIP or API. Paste your prompt to start. Under 10 minutes.

  2. 02

    Generate tests & red-team probes

    Test cases from your prompt, plus a red-team suite built from real deployments.

  3. 03

    Run 50K+ concurrent calls

    Over PSTN, SIP, or WebRTC. Personas with accents, interruptions, and background noise, at load.

  4. 04

    Monitor production

    Alerts page a human before a customer notices. One click turns a production failure into a regression test.

Know what broke. Prove it's fixed.

Each issue shows the call it came from, why it matters, and the fix. Rerun the same attack to confirm it is closed. Our red-team findings have led to board-level decisions to halt two deployments.

About audits and reports
HammingRelease report · Clinic scheduler · 28 October 2026

Findings

3 findings · 1,240 scenarios · release 2.4
F01Card digits read back without verifying the callerCritical
F02Appointment confirmed before the booking was writtenHigh
F03Transfer announced, then not completedMedium

F01 / Critical, up close

Found · Agent · 00:41

“Sure, the card on file ends in 4417.”

Why it mattersAn unverified caller learns card details they can use to pass as the account holder.
FixVerify the caller before reading back any account detail.
RetestSame call after the fix. The agent refused. Passed.
Hamming · Sample report · 28 October 2026Page 3 of 12
Fig. 1 · Sample release report, one finding from call to retest
Security

Your data
stays yours.

We do not sell customer data, and you can ask us to delete it at any time.

SOC 2 Type IICertified
HIPAABAA available
GDPRDPA available
Sign-onSSO with Okta, Microsoft Entra ID, and Google Workspace
AccessRole-based access control per workspace
IsolationSingle-tenant deployment with customer-managed encryption keys
AuditFull audit trail, exportable to your SIEM
RedactionConfigurable PII and PHI redaction

What voice AI leaders say about Hamming

“Thanks to the team at Hamming, who make the voice agent testing system which I used. If you haven't built a system like this, you really can't imagine how painful it is to test.”
Jared FriedmanJared Friedman
Managing Director, Y Combinator
  • “We killed it before any customer saw it.”

    Hamming saved us a lot of headaches. We caught a critical bug. The agent was saying 'I booked your appointment' but didn't actually book it.

    Josh CollinJosh Collin
    CEO & Co-Founder, Bland Labs
    Read case study
  • “Our customers and our own ears told us otherwise.”

    Our old testing vendor told us our voice agents were passing. Hamming closed that gap. It surfaced real failures the other tool couldn't see, precise enough that we could isolate and fix them fast. Hamming is now our exclusive regression-testing gate for every new agent we build, and part of our core product experience.

    Gustavo SanchezGustavo Sanchez
    Founder & CEO, Booked AI
  • “It's not just time saving, it's the capability and velocity.”

    You can't even do it without a platform like Hamming.

    Dongsheng Wang
    Tech Lead, Voice AI, Maven AGI
    Read case study
  • “For us, unit tests are Hamming tests.”

    Every time we talk about a new agent, everyone already knows: step two is Hamming.

    Simran Khara
    Co-founder, NextDimensionAI
    Read case study
  • “They never see the embarrassing bugs.”

    By the time customers make their first test call, we've already run 200.

    Ahmad Rufai YusufAhmad Rufai Yusuf
    Forward Deployed Engineer, Bland Labs
    Read case study
  • “After trying many, this is by far the strongest evaluation platform for voice agents.”
    Anthony RassiAnthony Rassi
    Co-founder & CTO, Serve
  • “The proactive discovery is probably the number one most useful thing.”

    We want issues to be raised either internally with our existing analytics and fallback mechanisms or through Hamming.

    Jyoti RaniJyoti Rani
    AI Engineer, Synthpop
    Read case study
  • “The programmatic part of it to me is the big unique offering and advantage, which is why we switched over to your platform.”
    Blake JonesBlake Jones
    AI Engineer, Basata
    Read case study
Read customer stories

We break voice agents for a living.

We ran 14 calls against Ani, Grok’s AI companion, and talked it past its safety defaults.

How we broke Grok

Hear the callers.

Every caller says the same line. What changes is the accent, the local turn of phrase, and the line they are calling on. Each one is a setting in Hamming.

“Hi, yes, hello. I'm calling about my appointment on Thursday. Any chance I could move it to the morning?”

Frequently asked
questions.

Browse every answer on the FAQ page

See what your agent will say to the wrong caller, then fix it.

Request a demoRequest security packetFirst test report in under 10 minutes.