Why the convergence of trusted data, investigative intelligence and AI is reshaping enterprise fraud prevention.
Highlights
- Identity fraud attacks now occur intraday, adapting in real-time to bypass traditional defenses.
- Corporate fraud targets account openings, supply chains, vendors, and high-value business relationships.
- Combining trusted data with AI enables proactive fraud prevention and seamless customer experiences.
The numbers tell a sobering story: identity fraud attempts have evolved from weekly threats to intraday attacks that adapt in real-time to circumvent traditional defenses. For corporate risk professionals, this isn’t just a security concern, it’s an existential business challenge that demands immediate attention.
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The new reality of corporate identity risk
Beyond traditional approaches: The enterprise challenge
The cost of reactive strategies
The convergence solution: Trusted data meets proven AI
Taking action: From awareness to implementation
The new reality of corporate identity risk
“The reality here is that we’ve now moved to, I would say an under 48-hour window and 48 hours on the upper end. The reality is intraday attacks that they’re launching and they are adapting in real time in order to beat the defenses that many organizations have put in place,” explains Jordan Burris, Vice President and General Manager for Public Sector at Socure, during a recent Thomson Reuters webinar on identity fraud prevention.
This acceleration represents more than just faster fraud; it signals a fundamental shift in how bad actors operate. Where fraudsters once took weeks or months to adapt their strategies, they now pivot within hours, using industrialized fraud techniques that target multiple corporate systems simultaneously.
Beyond traditional approaches: The enterprise challenge
Corporate risk managers face a unique set of challenges that government agencies don’t encounter. While public sector fraud often focuses on benefits programs, corporate identity fraud targets new account openings across financial services, trade-based fraud in supply chain operations, third-party fraud in vendor management, synthetic identity creation for corporate accounts, and account takeovers targeting high-value business relationships.
The cost of reactive strategies
The traditional “pay and chase” model that many corporations still rely on has become financially unsustainable. As Ron Grimes from Thomson Reuters Specialist Services explains: “By the time fraud is detected, the funds are often dispersed and recovering them becomes a massive resource intensive undertaking. We’re talking about significant financial losses, damage to public trust, and a drain on investigative resources that can be better spent on proactive prevention.”
For corporate America, this translates to direct financial losses from successful fraud attempts, regulatory penalties for compliance failures, reputational damage affecting customer trust and stock performance, operational inefficiency from manual review processes, and competitive disadvantage from slower customer onboarding.
The convergence solution: Trusted data meets proven AI
The breakthrough approach combines two critical elements that neither government agencies nor corporations could effectively leverage independently: comprehensive identity verification with deep investigative intelligence.
This integrated methodology works across three stages. First, advanced AI evaluates identity risk signals in milliseconds, allowing legitimate customers to proceed seamlessly while flagging suspicious activities.
Second, when initial screening raises concerns, document verification and behavioral analysis provide additional validation layers without creating friction for legitimate users. The goal isn’t just to stop fraud—it’s to “slow down the bad actors, frustrate them, and essentially force them to seek easier pathways elsewhere,” as Pellington notes.
And third, for complex cases requiring comprehensive analysis, investigators can “access public records, including criminal records, property deeds, business filings, and more, all very quickly,” according to Grimes. This builds comprehensive profiles to confirm legitimate identities or uncover sophisticated fraud rings.
The strategic imperative
For corporate risk professionals, the question isn’t whether to upgrade fraud prevention capabilities, but how quickly you can implement solutions that address today’s threat landscape while positioning your organization for tomorrow’s challenges?
The convergence of trusted data and proven AI represents more than technological advancement, it’s a fundamental shift toward proactive risk management that protects revenue, ensures compliance, and enhances customer experience simultaneously.
Taking action: From awareness to implementation
The most successful corporate implementations share common characteristics: comprehensive assessment of current fraud prevention capabilities, phased deployment starting with highest risk use cases, integration planning that preserves existing workflows, and success measurement focused on both security and business outcomes.
As the threat landscape continues evolving at unprecedented speed, the organizations that will thrive are those that move beyond reactive fraud detection to proactive identity intelligence.
Ready to see how the convergence of trusted data and proven AI can transform your corporate fraud prevention strategy? Join industry experts from Thomson Reuters and Socure as they demonstrate real-world applications and measurable results.
Webinar
The complete picture: combining trusted data and proven AI to stop identity fraud
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