Healthcare Deepfake & Fraud Detection Solution

Voice and video are healthcare’s new attack surfaces.

Attackers impersonate your patients and providers. Bots probe your IVR. Synthetic voices call your helpdesk. Deepfake candidates apply to your jobs. Pindrop solutions detect AI attacks, restoring trust in voice and video channels across healthcare workflows.

If you haven’t detected a deepfake, it’s because you haven’t been looking.

Healthcare is under attack. Bad actors use AI to impersonate patients, providers, and employees at scale. Each voice or video interaction is a potential exposure point that can lead to PHI breaches, fraud, and a damaged reputation.

KBAs leave your systems open to fraud
Data breaches

A PHI breach is one phone call away.

Synthetic voices impersonate employees and call helpdesks asking for credential resets. Deepfake-assisted candidates get hired, and receive legitimate access. They also impersonate patients to collect and access PHI. The result? Access in the wrong hands, with PHI, claims data, account information, and compliance on the line.

The exposure: 1 in 6 job candidates is fake.4 62% of companies have already been hit by a deepfake and didn’t know it at the time.5 Healthcare data breaches cost an average of $7.42 million per incident.6

Deepfakes and bots steal funds at scale
Fraud

Bots are probing your IVR right now.

Automated bots use stolen PII to validate accounts and stage takeovers across HSA, eligibility, claims, and prescription workflows. By the time losses surface, the takeover has already happened.

The exposure: >30,000 bot calls at one healthcare org in one year, targeting patient accounts valued at >$73M in HSA funds.7

Call times suffer under bot swarms
Care delivery and patient experience

Friction is a security failure too.

Legacy KBA frustrates real patients in moments of stress and still fails against attackers who already hold the answers. Bots flood access and scheduling lines. Agent capacity gets consumed. AHT climbs. NPS drops. Care slows.

The exposure: KBA bypassed more than 50% of the time. OTP bypassed about 25%. KBAs also increase AHT by >30 seconds, creating friction and adding operational costs when scaled across thousands of calls.8

HealthEquity Customer Thumbnail
CASE STUDY

Learn how HealthEquity dropped Fraud by 90%

With access, automation, and synthetic manipulation, attackers drain HSA/FSA funds and reroute benefits—exposing PHI and causing financial losses.

Group 1010107454
GUIDE

1210% surge in AI fraud in 2025.3

Our researchers uncovered just how hard AI attacks are hammering healthcare. Discover how these scams are reshaping digital trust.

Ready to see where your voice channel is exposed?

Pindrop’s healthcare risk assessment shows you exactly how AI-driven attacks could unfold against your IVR, helpdesk, and member services lines, plus the gaps in your current stack.

Healthcare voice security FAQs

Three patterns are common. AI-powered staff impersonations calling helpdesks to social engineer credential resets. Bots probing IVRs at scale to validate patient information and stage account takeovers. Outdated security measures for patient and member authentication that frustrate real people while still letting attackers through. The Pindrop solution addresses all three from one platform.

AI cloning has made it routine to spoof IT staff, vendors, and clinical personnel on the phone. Once a helpdesk grants a credential reset, the attacker walks straight into clinical systems. Deepfake-assisted candidates can produce the same outcome through hiring, with legitimate credentials issued on day one.15

Knowledge-based authentication is bypassed more than 50% of the time. One-time passcodes are bypassed about 25% of the time. Attackers already know the answers your authentication questions ask about.16

Not on its own. Voice biometric systems verify that a caller sounds like a known enrollee. AI voice clones can bypass voice profile matching, at low cost and at scale. It’s also worth noting that voice biometrics typically authenticate on one factor: a matching voice profile. Attackers know how to circumvent this through other means: device data, VoIP anomalies, spoofed ANI, behavioral patterns, etc.

Yes. The Pindrop Pulse solution detects synthetic and AI-generated voices in roughly 2 seconds with 99% accuracy at <1% false positives.17 Pulse for Meetings extends the same protection into Zoom, Teams, and Webex.

The Pindrop solution integrates natively with GenesysTM, NICE CXoneTM, Five9TM, WebexTM Contact Center, and ZoomTM Contact Center. Meeting protection runs through the Webex App Hub, Zoom App Marketplace, and Microsoft TeamsTM.

Start with a risk assessment. We will walk your team through the specific attack patterns hitting your IVR, helpdesk, and patient and member services lines, then map them to Pulse, Protect, and Passport coverage. Talk to a real human today

Related research + insights

Access expert research, detailed guides, and practical resources on voice and video security to strengthen your organization’s defenses.

 

Citations

1 Pindrop, “2025 Voice Intelligence and Security Report,” June 2025.
2 Pindrop, “2025 Voice Intelligence and Security Report,” June 2025.
3 Pindrop, “2025 Voice Intelligence and Security Report,” June 2025.
4Pindrop, “From Interview to Intel Drop: The Moment We Exposed a Coordinated Hiring Scheme,” October 2025.
5 Gartner, “Data View: What Is the Impact of GenAI on the Attack Landscape?,” August 2025
6 IBM, Cost of a Data Breach Report, 2025
7Anonymous Pindrop customer case study, HSA exposure analysis, May 2025 – April 2026.
8 Pindrop, “2025 Voice Intelligence and Security Report,” June 2025.
9Rank defined by the number of plan members; data from 2025
10Pindrop case study, “90% Drop in Fraud and a Smoother CX: How HealthEquity Did It,” 2026.
15For more examples, review Pindrop, “The Year Trust Broke,”February 2026.
16 Pindrop, “2025 Voice Intelligence and Security Report,” June 2025.
17Pindrop internal data and testing analysis, 2026