How Voice Risk Intelligence Can Help Asia-Pacific Agencies Tackle Rising Fraud Losses

What Asia-Pacific Can Learn from Virginia’s Breakthrough in Contact Center Fraud Prevention

Fraud has evolved—and for many agencies and enterprises across Asia-Pacific, the threat now calls in through the front door. Quite literally.

Call centers, once viewed as reliable channels for customer support and claims processing, have become one of the most exploited weak links in fraud ecosystems. Whether it’s a scammer impersonating a jobseeker, a fraud ring filing synthetic welfare claims, or a stolen identity slipping past outdated authentication methods, the risks are real, scalable, and devastating.

So how do you keep legitimate users flowing through your system—while stopping fraud in its tracks?

One U.S. government agency offers an inspiring case study. The Virginia Employment Commission (VEC), responsible for managing unemployment insurance for nearly a million citizens each year, used advanced voice risk detection to cut fraud losses by over half a million dollars—in just months. Their journey offers valuable lessons for APAC institutions juggling the twin pressures of increasing fraud risk and rising user expectations.

Let’s explore what happened, and how the same innovations can be applied across Asia-Pacific.

Fraud Doesn't Wait. Neither Should You.

Across Southeast Asia and Oceania, fraud has surged since the pandemic era. In Australia, jobseeker support systems faced sharp spikes in fraudulent claims during lockdowns. In Malaysia, EPF withdrawals became a fraud vector. In Indonesia and the Philippines, social benefit schemes have been targeted by identity thieves and scammers using fake employer details.

This mirrors what the VEC faced post-COVID: $350 million in estimated fraud over three years, most of it slipping through contact center interactions.

The culprit? Legacy systems. The VEC was using knowledge-based authentication (KBA) to verify callers—quizzes based on publicly available data, like street addresses or old car registrations. But fraudsters had already moved on, using breached data and generative AI to bypass these quizzes. Ironically, genuine callers often failed the same quizzes meant to protect them.

Sound familiar? Many APAC institutions still use similar methods. It’s time for an upgrade.

Enter Voice Risk Intelligence: Detection at the Sound of a Word

To fix the gap, the VEC implemented Pindrop® Protect, a voice risk analysis platform capable of detecting fraud in real time—no wait, no quizzes, and no need for a pre-enrolled voiceprint.

Here’s how it works:

• It evaluates 1,300+ audio, metadata, and behavioral signals from a single call

• It calculates a risk score based on voice anomalies, device fingerprints, network inconsistencies, and known fraudster databases

• It flags suspicious calls immediately—often before a caller speaks to a live agent

The result? The VEC caught 800+ fraudulent calls in the first year, avoided over $560,000 in losses, and dramatically improved their service experience.

This is where things get interesting for APAC.

Why Asia-Pacific Is Ripe for This Technology

The challenges in APAC are unique:

• High mobile adoption, but low multi-factor security coverage

• Massive user volumes in countries like India, Vietnam, and Indonesia

• Growing use of generative AI by scammers to create deepfake voices and spoofed calls

• Burdensome authentication journeys that frustrate users, especially in government services

Voice risk intelligence offers a fresh path forward. Consider these applications:

• Welfare disbursement hotlines in Malaysia could screen voice risk scores before approving callbacks

• Pension boards in the Philippines could identify repeat fraud patterns across accounts and geographies

• Digital banks in Thailand could detect synthetic identity attempts during customer onboarding by comparing voice metadata across channels

• Utility providers in Singapore could reduce account takeover risk for expatriate customers who often struggle with legacy KBA checks

Faster, Smarter, Frictionless

One of the most powerful lessons from the VEC deployment was this: security doesn’t have to slow things down.

By integrating Pindrop directly into their IVR and agent systems, the VEC:

• Reduced average handling time by removing manual “fraud quizzes”

• Automatically flagged calls with similar risk signals—same IPs, phone numbers, addresses

• Provided live alerts to agents through screen pops and color-coded warnings

• Prioritized callbacks for low-risk callers, redirecting high-risk ones to fraud investigators

The impact went beyond numbers. Customer satisfaction improved. Staff felt more confident. Fraud detection moved from reactive to real-time.

In fast-moving APAC markets, where regulators are demanding better customer protection and compliance requirements are intensifying, this kind of agility is a competitive advantage.

From Reactive to Resilient: The Bigger Picture

Too often, fraud prevention is treated like a forensic lab—responding after the crime. But today’s threats require a real-time shield, not a post-mortem. Voice risk intelligence is not about replacing human agents—it’s about empowering them with data they can act on, instantly.

The VEC didn’t just deploy a new tool—they reimagined their fraud detection approach from the ground up. And it paid off: projected annual savings of nearly $1 million, faster fraud response, and stronger public trust.

What would similar results mean for:

• An APAC regulator under pressure to show measurable fraud reduction?

• A financial institution looking to meet HKMA or MAS guidelines while reducing false positives?

• A digital-first utility provider wanting to deliver seamless, secure support at scale?

Final Thought: It's Time to Listen—Literally

Fraud is evolving. Voice deepfakes, bot-driven attacks, and AI-powered impersonation are here. But so are the tools to stop them.

VEC’s story proves what’s possible. With voice risk intelligence, we can move beyond passive fraud monitoring to active fraud interception—at scale, across sectors, and with less friction.

In Asia-Pacific, where rapid digitization meets growing regulatory demands and heightened fraud risks, this is no longer a luxury. It’s a necessity.

The voice of your customer can tell you everything—if you know how to listen.

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