Enterprise AI bot detection for contact centers
Your real customers are stuck behind bots
High-volume bot traffic jams the voice channel, stretches handle times, and pushes real callers down the queue. The Pindrop BotStopper™ helps identify automated callers in seconds, so your agents spend their time on real people.



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Drop in bot calls at a healthcare org1
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False positives2
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To assess a call for synthetic activity
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AI BOT DETECTION
What is AI bot detection for contact centers?
AI bot detection identifies synthetic and automated callers. It can help separate three things your contact center handles differently: a legitimate AI agent calling on a customer's behalf, nuisance automation clogging the queue, and a malicious bot probing your defenses.
Most contact centers were built on an assumption that no longer holds: that the voice on the line belongs to a human. Your IVR can't tell the difference between a customer who forgot their PIN and an AI bot conducting reconnaissance. And neither can your contact center agents.
BotStopper doesn't wait for a bot to act. It scores every caller as it comes in, so you can reroute, challenge, or block before an agent picks up.
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BOT AND AGENTIC TRAFFIC MANAGEMENT
How does Pulse make bots visible in real time?
Most contact centers need bot detection urgently. Pulse scores callers inside your call flows, answering the question "was that a real person?" right when you need it.

In your existing call flow
Pulse integrates with leading CCaaS providers, so scoring happens inside your IVR and agent workflows instead of requiring your team to pull recordings into a separate tool after the fact.
Analysis runs in real time
Pulse evaluates live call audio for indicators of synthetic speech, cloned voices, and known AI generation engines. Every call receives a liveness score after roughly two seconds of speech, and analysis continues as the call progresses.
Your policy decides what happens next
When Pulse flags synthetic activity, that context surfaces in the workflow while the call is still live. You decide what follows: route the caller out of self-service, add additional verification, or send the call to review.

Add continuous bot detection to the contact center platform you already use
Pulse is designed to work with common enterprise contact center platforms, so you don't have to rebuild your call flow or retrain your agents. Here's what to consider when looking for a bot detection solution.
Coverage
Where scoring begins and which IVR and agent stages it covers.
Output
Which systems consume the risk score
Triggers
What each risk level triggers under your approved policies.
Defend your most targeted call flows
Bot traffic concentrates in your highest-risk workflows—the flows that reset access, move money, or expose data without a human in the loop.
Use case
IVR self-service and account recovery
Use case
Patient and member verification
Use case
Payments and high-value authorizations
INDUSTRY
Subscriptions, downgrades, and cancellations
THE PRODUCTS BEHIND IT
Powered by the Pindrop Platform
Pindrop® technology helps enterprises answer the two questions that come before every high-risk interaction: is this a real human, and is it the right human?


Article
Learn how audio deepfake detection works
Go deeper on how audio deepfakes are created, the signals detection systems evaluate, where audio detection can fall short, and how organizations can build a layered response. The article provides the educational context behind the enterprise audio deepfake detection solution.
CUSTOMER OUTCOMES
Bot detection at work
See how real-time analysis of the voice channel helps organizations make more informed decisions about who reaches an agent.
Don’t assume. Verify.
Take the first step toward a safer, more secure future for your business.

AI bot detection software FAQs
An AI bot is an AI agent, a synthetic voice, or an automated script. Bots can be a legitimate AI agent acting on behalf of a customer, nuisance traffic, or a malicious attack.
A robocall is unsolicited outbound spam sent to consumers. An AI bot dials into your contact center, navigates the IVR, or interfaces with a live agent.
No, and treating it that way creates its own problem. A customer's AI agent placing a call on their behalf is legitimate automation. Nuisance traffic wastes capacity without malicious intent. Malicious bots look for a way to access sensitive data, breach systems, or take over an account.
Pindrop Pulse® for Contact Centers helps make automated and synthetic callers visible in real time so your contact center can act on that evidence before a high-risk action occurs. It can detect audio deepfakes with 99% accuracy against known engines3 and less than 1% false positives.2
Pulse produces a liveness score after roughly two seconds of speech, and continues analyzing as the call progresses.
Pindrop analysis of Pulse customer call data measured a false positive rate under 1%.²
Disclaimer
- Pindrop, “How Real-Time Bot Detection Shut Down 94.3% of IVR Attacks at a Fortune 500 Healthcare Org.”
- Pindrop analysis of call data of Pulse customers from Q4 2024 to Q2 2025.
- Pindrop Pulse accuracy computed on the ASVspoof5 dataset of 32 engines. More info here.






