Vail Systems was named an Example Vendor in Gartner’s first Market Overview for Voice and Message Security, published September 10, 2026. For us, Vail’s recognition comes at a time when organizations face growing complexity: distinguishing legitimate traffic from nuisance or nefarious calls, protecting agents from social engineering attempts, and managing the operational burden of false positives.
The report examines how AI-driven threats are increasingly targeting voice and messaging channels. On their own, traditional defenses like STIR/SHAKEN and multi-factor authentication are losing effectiveness against these sophisticated tactics. Gartner projects that “by 2029, the share of enterprises requiring AI-enabled enhanced security capabilities in CPaaS tools will grow from 35% in 2024 to 85%.”
To strengthen security without eroding customer experience and trust, organizations need additional layers of intelligence. “Today’s solutions combine pre-call risk scores, behavioral signals and voice biometrics to challenge only high-risk calls, reducing customer friction,” Gartner reports. Understanding the risk behind each interaction helps teams make faster, more informed decisions for authentication, routing, or intervention.
Vail gives enterprises the earliest visibility into fraud risk
The Vail platform is designed to assess each caller before they reach authentication systems or frontline agents, so businesses can intercept fraud at its earliest point without slowing down the customers they serve.
Before a call connects, Vail's patented framework analyzes real-time external signals, historical calling data, and behavioral patterns to assign a risk score in under 10 milliseconds. A lightweight API delivers risk scores and insights directly into business’ existing authentication, routing, and reporting systems, so teams can act on risk signals before exposure and adapt more easily as tactics or compliance needs evolve.
Fraudulent and nefarious activity is flagged sooner, legitimate callers pass through with less friction, and fewer resources are spent on unnecessary authentication or escalations.
Source: Gartner, Market Overview for Voice and Message Security, Jon Dressel, Manoj Bhatia, 10 September 2026.
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About Vail Systems
Vail Systems is a carrier-grade cloud communications platform designed to secure and manage enterprise customer conversations at scale, processing billions of calls each year. Its services include caller authentication and risk scoring, network routing and call control, conversational IVRs, and customer experience analytics. Customers can work with Vail Professional Services or build on the Vail platform through programmable APIs.
Vail Systems is headquartered in Chicago. For more information, visit vailsys.com.
Frequently asked questions
Published September 10, 2026, the report finds that “the enterprise security perimeter now includes voice and messaging networks, which have become primary targets for sophisticated, AI-driven social engineering attacks.” Gartner projects that “by 2029, the share of enterprises requiring AI-enabled enhanced security capabilities in CPaaS tools will grow from 35% in 2024 to 85%.”
AI is making voice fraud and social engineering more challenging to detect through technologies such as synthetic voices, voice cloning, and deepfakes. As a result, organizations may need to supplement traditional authentication methods with precall risk signals, behavioral analytics, and dynamic responses to challenge only high-risk callers.
Vail assesses every call and assigns a risk before they impact authentication systems or frontline agents. Its patented framework analyzes real-time external signals, historical calling data, and behavioral patterns to assign a risk score in under 10 milliseconds, allowing teams to intercept fraud before exposure without slowing down legitimate customers.
A lightweight API delivers risk scores and insights directly into a business’s existing authentication, routing, and reporting systems. Teams can act on risk signals before agents or authentications are exposed, and adapt as fraud tactics or compliance needs evolve. Fraud can be flagged sooner, legitimate callers move through with less friction, and fewer resources go to unnecessary authentication or escalations.
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