Authentication that AI can't fake.
Your caller taps once. The KBA script disappears. AHT drops by up to a minute. CSAT climbs. Fraud closes. Across voice, helpdesk, and AI agents. Production-ready in 14 days.
Every call starts with verification, even the calls that fail it. ScrambleID replaces the security-question script with a tap. The caller recites nothing: no Social, no employee ID, no security questions.
No password to reset. No helpdesk attack to social engineer. The playbook that shut down a casino giant fails.
AI voice cloning. Deepfake disbursement. Helpdesk credential reset attacks. Closed in the math, not detected after the fact.
AHT savings on human calls. Token, compute, and latency savings on AI agent calls. Deployed alongside your AI rollout, not after it.
Time to help
Sensitive data shared
Caller could be impersonated
Identity is signed,
not spoken.
What your caller experiences
Caller verification: the most dreaded moment of every call.
Phone rings. They tap. They're in.
The caller has not recited their full name, the last four of their Social, their employee ID, their manager's name, or their work email. They are talking to a human (or an AI agent) who already knows who they are.
Recognition replaces interrogation. The most dreaded moment of the call disappears. AHT drops. CSAT climbs. FCR climbs. CES drops. Agents stop apologizing for the script.
Detection is a treadmill. Every new deepfake model means a new detection model. Attackers exploit the shared-secret foundation under voice biometrics and KBA. Replace the foundation, and the threats lose their entry point. CrowdStrike found that Scattered Spider used helpdesk voice-based phishing in almost every observed 2025 incident.
Phase out voice-based authentication.
OpenAI · April 2024
Issued ahead of releasing their voice cloning tool. The vendor of the attack tool, telling its customers to stop using the defense.
The chorus from the model makers
Microsoft Research
VALL-E 2: still not public.
Microsoft researchers wrote it "reaches human parity" but is "too dangerous to release," citing risks of "spoofing voice identification or impersonating a specific speaker."
Meta AI
Voicebox: still not public.
Built a voice cloning model that needs two seconds of audio. Decided not to release. Cited risks of impersonation, fraud, and disinformation.
Google DeepMind
Watermarks its own AI audio.
SynthID Audio embeds cryptographic watermarks into every audio output from Lyria and NotebookLM. A structural admission that AI audio can't be authenticated by listening.
Anthropic
Limits Claude voice to preset voices.
Anthropic restricts Claude's voice features to preset voices only. Explicit product decision to prevent voice cloning misuse.
One defense across every threat
12 threats./One defense.
The same defense across voice, helpdesk, and AI agents.
Historic threats
AI-era threats
Voice fraud detection works today because AI models still leave detectable artifacts in their output. Every generation of model erases more of them. The crossover already happened. Queen Mary University of London confirmed in peer-reviewed 2025 research that the indistinguishable threshold has been crossed.
The crossover. AI voice cloning surpassed detection in 2025.
Source: ASVspoof challenge results (2019 LA, 2021 LA, 2024 baseline). Deepfake-Eval-2024 (real-world). Mai 2023, Warren 2024, Barrington 2025, Queen Mary 2025, SquadStack 2025. Hyperscaler product retirements per official vendor documentation.
Detection AUC on novel deepfakes
drops 48%
Deepfake-Eval-2024, in-the-wild benchmark (arXiv:2503.02857)
Audio needed to clone a voice
60+ min → 15 sec → 3 sec
2020 baseline · OpenAI Voice Engine 2024 · commercial tools 2025
Human detection of AI voice
73% → 60%
Mai et al. 2023 (PLOS ONE) · Barrington et al. 2025 (Scientific Reports)
AWS and Microsoft exit voice biometrics as Google pulls back, amid deepfake risks.
AI virtual agents are the 2026 contact center and helpdesk priority. Across almost every company with call volume. The bottleneck isn't the AI. It's the authentication step in front of it.
Pilot ScrambleID alongside your AI virtual agent rollout.
The identity layer for Sierra, Google CCAI, Genesys Virtual Agents, NICE Enlighten, and the AI agents your team is building. Same project. Both payoffs. AHT cut on human calls. Token, compute, and latency cut on AI calls. The next-gen experience the AI was supposed to deliver.
But when proof is your front door, your AI roadmap delivers.
AI agent identity
Voice virtual agents and tier 1 deflection bots need cryptographic identity to authenticate to backend systems. Per-action signatures. Instant revocation. Full audit trail. Non-human identities outnumber humans 82-to-1 in AI-deployed orgs.
Non-human identity, defined→AI cost translation
Authentication is the largest single AHT component for human agents: up to a minute per call. For AI agents, the same step is the largest token, compute, and latency cost per interaction. Per-request cryptographic signatures replace KBA in both cases.
Prompt injection is an identity problem→Omnichannel architecture
A customer who authenticated on web gets the same cryptographic identity when they call. A helpdesk caller verified for tier 1 carries the same primitive into tier 2. AI agents inherit the same identity model. Same proof, every channel.
Omnichannel authentication→Each row pairs how voice and helpdesk authentication works today with what it becomes once ScrambleID replaces KBA and shared secrets. Not features bolted on. Consequences of the foundation changing.
Layers on Genesys, NICE, Five9, Twilio, Google CCAI for voice. ServiceNow, Jira SM, Freshservice for helpdesk. Okta, Microsoft Entra, Ping for identity. Your CCaaS keeps what it does. Your IdP keeps what it does. ScrambleID adds cryptographic proof on every authentication event. The voice flow embeds natively in your existing mobile app via SDK. Your brand on top. No second download.
Channel surfaces
Voice calls · Helpdesk tickets · AI agent actions · Web recovery · In-person verification
Three to five places identity events happen.
Cryptographic rail · ScrambleID
Proof on every event.
The new layer. Layered onto your stack, not bolted to the side.
Your CCaaS and IdP
Genesys · NICE · Five9 · Twilio · ServiceNow · Jira SM · Okta · Microsoft Entra · Ping
Unchanged. The rail coexists.
Channel surfaces
Three places identity events happen in your contact center. ScrambleID covers all three with one cryptographic verification.
Cryptographic rail
The new layer. Proof on every event. Layered onto your stack, not bolted to the side.
Your CCaaS and IdP
Genesys, NICE, Five9, Twilio. ServiceNow, Jira SM. Okta, Microsoft Entra, Ping. Unchanged. The rail coexists.
Native white-label embed
The mobile-side ScrambleID experience drops into your existing customer-facing or employee-facing app via SDK. Your wordmark, your colors, your typography. The cryptographic verification happens inside the app your customers already trust and your employees already have installed. The capability is invisible to your users and visible to your fraud team.
Deployment
One hook in your CCaaS.
One IVR message update.
Production-ready in 14 days.
No agent retraining. No customer download. No replacement of your CCaaS, your IdP, or your ITSM. ScrambleID runs inside the surfaces you already operate.
AWS, Microsoft, and Google exited voice biometrics between 2024 and 2026. The remaining specialists (Pindrop, Daon, ValidSoft) are in an arms race with attackers who clone voices from 30 seconds of audio. KBA still ships in many products. ScrambleID is the cryptographic layer above all of them.
Swipe sideways to compare. ScrambleID is the highlighted column.
The threats cross voice, web recovery, AI agents, in-person verification, and shared workstations. ScrambleID closes the seams.
Standards-aligned at the cryptographic layer. Audit-ready by construction.
What we hold
SOC 2
TYPE II
FIDO2
COMPLIANT
GDPR
ALIGNED
SLA
99.95%
What we align with
PCI · DSS 4.0
Unique ID plus MFA for every person accessing card data. Shared logins banned. MFA scope broadened to telephony admin consoles and workforce management. Mandatory since March 31, 2025.
Per-agent cryptographic identity. Shared logins gone (private keys are hardware-bound). MFA built in.
NIST · SP 800-63-4
Hardware-bound multi-factor cryptographic authenticator with a non-exportable private key and phishing resistance.
Hardware-bound private keys that never leave the secure enclave. Origin-bound signatures.
NY DFS · 23 NYCRR 500
MFA mandatory since November 1, 2024 for remote access to entity systems, third-party apps, all privileged accounts.
Cryptographic MFA on every privileged action. KBA replaced by cryptographic verification.
FCC · 23-95A
Wireless providers must use secure authentication before SIM change or port-out. Customer notification on every change. Customer-controlled number locks.
Cryptographic verification of the existing device before any SIM change. The legitimate device signs. Attackers without the device cannot proceed.
Voice biometrics is probabilistic. AWS, Microsoft, and Google all exited the category between 2024 and 2026. The remaining specialists (Pindrop, Daon, ValidSoft) are in an arms race with attackers who clone voices from 30 seconds of audio. OpenAI told businesses to "phase out voice-based authentication" in April 2024. ScrambleID is cryptographic, not probabilistic. The voice is context. The device's signature is the proof. No voice-based decision means no deepfake bypass problem.
Pre-built integrations for all five major CCaaS platforms plus Google CCAI. The integration is a screen-pop showing the verification status on the agent's desktop. Days to working pilot. Weeks to production. ScrambleID is additive, not replacement. Your CCaaS keeps IVR routing, agent desktop, workforce management.
They don't need one. The flow embeds natively in your existing mobile app via SDK. Your wordmark, your colors, your typography. They never download anything called "ScrambleID." Fallback path for users without the app: IVR speaks a code, caller enters it in any browser. The "my customers won't install another app" objection is structural, not real. They already have yours.
Authentication is the most expensive moment of every AI agent interaction: the largest token, compute, and latency cost in the workflow. ScrambleID eliminates it. Three ways. The AI agent gets cryptographic identity (scoped, revocable, audited) so its actions are attributable. The caller authenticating to an AI agent gets cryptographic verification that eliminates the cost. The caller's device signs. The AI agent gets verified-identity context. The same primitive runs human and AI agent workflows. Genesys, NICE, Five9, Twilio, and Google CCAI integrations cover both contexts.
Cross-channel verification. Voice channel cryptographically verifies the caller. People channel cryptographically verifies in-person identity. Both signed. Only then does a new device get registered and old keys revoked. Help-desk-driven recovery stops being the residual attack surface.
Yes, as a confidence signal layered on top of cryptographic verification. Not the load-bearing factor. Layered, it adds context. Load-bearing, it gets defeated by every new deepfake generation. We integrate cleanly with existing voice-bio deployments.
14 days for production. SDK integration is hours. CCaaS or ITSM integration is days. User enrollment is phased. Most contact centers hit production within two sprint cycles.
The compare table above is the side-by-side. Pindrop is voice fraud detection evolving toward deepfake detection on top of voice biometrics. Nuance Gatekeeper is on end-of-orderability under Microsoft. NeuStar (now TransUnion) is caller ID authentication. All probabilistic. ScrambleID is the cryptographic layer above them all.
See the detailed comparison→30 minutes with your contact center and helpdesk leadership, plus your CISO partner. Bring your CCaaS topology, your current verification protocol, and your hardest fraud scenario. We'll walk it through your scenario.
What happens in 30 minutes
You'll walk your hardest fraud scenario through ScrambleID with your CCaaS and IdP context on the table. You'll see the deployment plan for your contact center and your helpdesk. You'll see the cost model translated into your AHT line or your token line. You'll leave knowing whether ScrambleID fits your stack. We'll know whether yours fits ours.
Verified
before they speak.