ID Analytics Hosts Webinar on Use of Risk-Based Identity Proofing to Boost Cybersecurity for Government Agencies

New, Layered Approach Delivers More Accurate Verification of Online Visitors

SAN DIEGO, CA –ID Analytics, Inc., the leader in on-demand identity intelligence, today announced the publication of its latest whitepaper, “Risk-Based Identity Proofing: The Key to Vetting Identities Online.” ID Analytics’ Thomas Oscherwitz, chief privacy officer and vice president, Government Affairs, and Dr. Stephen Coggeshall, the company’s chief technology officer, hosted a webinar Tuesday to discuss risk-based identity proofing, a new approach to verifying consumer identities that enhances the security around web-based government services while minimizing inconvenience to the user.

According to the Federal Chief Information Officer (CIO) Council, the need for effective cybersecurity is at an all time high and identity management is a “key enabler” to respond to the cyber threat. Similarly, a recent Government Accountability Office (GAO) study found most agencies lack the necessary user identification and authentication controls to prevent unauthorized access to federal information technology networks, systems and data.

Today, ID Analytics’ identity fraud technology is the leading solution for assessing identity fraud risk among Fortune 100 financial institutions, telecommunications providers and retailers. ID Analytics’ technical approach extends risk-based behavioral analytics one-step further to the actual verification of individual identities.

“Risk-based identity proofing takes a layered approach to verifying an identity,” said Coggeshall. “Through a series of steps, we can resolve high-risk identities, isolate fake and synthetic identities, and ultimately enable the vast majority of low-risk identities to be efficiently processed.”

ID Analytics’ approach meets the rigid requirements of an online government identity proofing solution. It effectively detects fraud and prevents the proofing of false identities. The technology accurately verifies legitimate identities with minimal inconvenience, while pinpointing high-risk identities that may require further scrutiny. It also provides a comprehensive assessment of identity risk not just at enrollment, but throughout the consumer’s ongoing interaction with an organization, including password resets, change of address requests or orders for additional services.

“Risk-based identity proofing allows for more accurate, cost-effective verification of consumers’ online identities,” said Oscherwitz. “This new approach is easy for both agencies and consumers to use and will help catalyze the next generation of government’s web-based transactions and increase security.”

ID Analytics solutions leverage three core capabilities: Personal Topology™, Advanced AnalyticsSM and the ID Network® – the nation’s only real time, cross-industry compilation of identity information.

About ID Analytics, Inc.

ID Analytics, the leader in on-demand identity intelligence, provides unprecedented real time visibility into the risk of individuals, protecting both organizations and consumers. ID Analytics pioneered identity scoring technology. ID Analytics combines three unique capabilities to assess risk and improve the customer experience across all consumer touch points: the ID Network®‘the nation’s only real time, cross-industry compilation of identity information; Personal Topology™’ an individual’s particular identity characteristics and their connectedness to each other; and ID Analytics’ proprietary Advanced AnalyticsSM. Leading communications, financial services, retailing, and healthcare companies, as well as multiple government agencies, trust ID Analytics to provide solutions that drive new revenue opportunities, reduce financial losses, and facilitate compliance with federal regulations. ID Analytics is based in San Diego, CA. For more information, visit

ID Analytics is a registered trademark of ID Analytics, Inc. All other trademarks and registered trademarks are the property of their respective holders.