Verify callers against AI-powered fraud at the carrier layer
- Why traditional KBA fails against AI-powered fraud, and what upstream authentication actually fixes
- How voice biometrics and risk-based routing can passively fast-track trusted callers while flagging suspicious ones
- What is reducing active authentication steps actually worth in operational cost
Real-time caller authentication in the age of AI fraud
Bad actors now clone voices. Bots answer security questions. This session shows how AI fraud scoring and voice biometrics stop both.
- A reality check: How KBA holds up against modern deepfake and caller impersonation
- Upstream authentication: How voice biometrics and deepfake detection work in practice
- Risk-based routing: Silent authentication for trusted callers, friction only for suspicious ones
- The cost of authentication friction: Why removing active KBA steps can save up to $1.50 per call
What your score means
You’re likely leaning on legacy verification methods. Agents may be spending 30–90 seconds per call on KBA that fraudsters already have the answers to. On the outbound side, you may be dealing with carrier labels reactively, only when business units report that answer rates have dropped.
The priority: Moving from reactive to programmatic.
- Automating label remediation, implementing basic fraud scoring so agents aren’t the sole line of defense
- Building foundational visibility into your voice stack.
Sounds like you? Talk to a Solution Engineer.
Your scorecard is a starting point
A Bandwidth solution engineer can walk through your results, identify the specific gaps affecting your contact center ROI, and map them to solutions in the Trust Services Suite.
FAQ
Call center identity verification is the process of confirming that an inbound caller is who they claim to be before granting access to sensitive account information or services. A verification failure isn’t just a security incident; it’s a customer trust problem, often a compliance risk, and a direct cost to your operation. As AI-generated voice and synthetic identities become easier to produce, the gap between what traditional KBA can prevent and what fraudsters can fake is widening.
Voice biometric authentication analyzes unique vocal characteristics like pitch, cadence, tone, and pattern to verify a caller’s identity against an enrolled voiceprint. When integrated into your call flow, it authenticates a customer passively during the natural course of a conversation, without asking them to repeat a PIN or answer security questions. The result: less friction for legitimate callers, a much higher bar for automated identity impersonation. Bandwidth’s integration with Pindrop brings carrier-level call intelligence and deep voice authentication together. Pindrop’s voice intelligence is designed to detect indicators of synthetic voice and deepfake attempts, helping flag suspicious calls before they reach your agents.
The strongest fraud prevention solutions for contact centers share a few common traits:
- Real-time call metadata analysis
- A live connection to a national fraud database
- Risk-based routing that triggers additional checks only for suspicious callers
- Carrier-level integration so scoring happens before the call reaches your IVR or agent
Beyond those fundamentals, look for a solution that covers both inbound fraud detection and outbound number reputation in one call path. Most point solutions address only one side.
Bandwidth’s Call Verification checks call metadata and runs each number against a real-time fraud database, delivering a risk score in milliseconds to wherever your business needs it: IVR, agent desktop, or routing logic.
The right platform depends on where you need authentication to happen and how much friction you can tolerate in the customer experience. Key criteria to evaluate:
- Does the solution operate at the carrier level or as an overlay (carrier-level means faster scoring with less lag)?
- How does the platform check for indicators of deepfake and synthetic voice?
- Does it integrate with your existing IVR and CCaaS stack without a custom build
- Does it support passive authentication so legitimate callers aren’t interrupted?
Bandwidth’s pre-built Pindrop integration addresses all of these combining Bandwidth’s network reach with Pindrop’s voice intelligence to deliver authentication that works before a human agent ever picks up. Historically, enterprises required legacy, on-premise Session Border Controllers (SBCs) to manage call control and fork the media stream to third party apps like Pindrop.
Bandwidth solves this by integrating Pindrop at the carrier level using SIP REC (Session Recording Protocol), supporting enterprises as they migrate to the cloud and offload their edge SBCs.
Illegal call spoofing is when a bad actor manipulates caller ID to make an inbound call appear to come from a trusted number, like a known customer, an internal extension, or a legitimate business. For enterprise contact centers, impersonated calls are the entry point for agent deception, account takeover, and fraud against your customers. Prevention requires more than caller ID checks: effective spoofing prevention analyzes call metadata, cross-references live fraud databases, and applies STIR/SHAKEN attestation signals to assess whether a call’s origin is legitimate.
Bandwidth’s Call Verification runs this analysis at the network level, flagging suspicious calls before they reach your agents.
Automated caller authentication assigns a risk score to each inbound call using fraud intelligence and call metadata. Low-risk callers are fast-tracked with minimal or no active verification; high-risk callers are routed to additional checks or a dedicated fraud team. Agents stop spending 30–90 seconds on manual KBA for every call. At enterprise scale, that reduction compounds quickly. Moving away from active authentication steps for verified callers can save up to $1.50 per call in handle time and operational cost.
When evaluating authentication solutions for a large enterprise contact center, the features that move the needle are:
- Carrier-level integration (not an overlay that adds latency)
- Passive authentication capability
- Real-time fraud database access
- Risk-based routing that automates call handling decisions
- Deepfake or synthetic voice detection
API flexibility matters too. You want a solution that plugs into your existing infrastructure without a long implementation cycle. Finally, look for a provider that covers both inbound authentication and outbound number reputation, so you’re not managing two separate vendor relationships for two sides of the same problem.
Check out Bandwidth’s contact center security and trust services that can be integrated at the network level.
Phone number reputation management monitors your outbound numbers for improper call labels such as “Spam Likely” or “Scam Risk”, and remediates these labels with wireless carriers when found. Call authentication addresses the inbound side: verifying that callers reaching your contact center are who they claim to be. They’re related but distinct problems. Phone number reputation management protects your ability to reach customers. Call authentication protects your customers from being defrauded when they call you. Enterprises running high-volume contact center operations need both, and both are stronger when they run on the same underlying network.
Bandwidth publishes live system status at status.bandwidth.com. On the security side specifically, Bandwidth’s Call Verification runs on Bandwidth’s owned-and-operated network: the same infrastructure that supports 5x carrier-redundant toll-free voice.* Redundancy is built into the architecture, not bolted on. For enterprises evaluating any contact center security platform, the right questions to ask are:
- Does the provider own its network or resell capacity?
- What is the SLA for security tooling specifically?
- How does the platform behave under degraded conditions?
Bandwidth’s carrier-native approach means security scoring and call routing happen on the same network layer, reducing the failure points that third-party overlays introduce. See how to migrate to Bandwidth without breaking your stack.
*Available in some markets
The information and recommendations included in this content do not, and are not intended to, constitute legal advice; nor do they necessarily represent Bandwidth’s products or business practices. This content is for informational purposes only.