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Darwinium Brings Intent Intelligence to GBG

Darwinium Brings Intent Intelligence to GBG
  • Identity and location intelligence firm GBG has teamed up with behavioral and intent intelligence specialist Darwinium.
  • The partnership will enable businesses to know if the actions of a verified individual or AI agent are consistent with the legitimate intent of the customer.
  • Founded in 2021 and headquartered in San Francisco, California, Darwinium most recently demoed its technology at FinovateFall 2026.

A newly announced partnership between identity and location intelligence firm GBG and behavioral and intent intelligence specialist Darwinium will help businesses determine whether the actions of a verified person or AI agent remain consistent with legitimate intent during the customer journey.

Effective fraud prevention requires more than verifying identity or assessing risk at a specific moment. Even when identities are determined to be legitimate, the activity itself may still present a fraud risk. This includes instances in which scammers manipulate verified customers into acting on the fraudster’s behalf—a phenomenon that is likely to become worse as AI agents become more involved in conducting tasks and making transactions on behalf of customers. Darwinium’s technology continuously monitors and evaluates behavioral, device, and journey-level signals to identify when behavior is not consistent with either the customer’s intent or an authorized agent’s mandate. Combined with Darwinium’s intent intelligence, GBG will enable its more than 20,000 customers worldwide to spot changes in fraud risk across both human and agent activity throughout the customer journey.

“GBG has built an incredibly strong foundation of global identity and local intelligence. Darwinium complements that by adding the behavioral context around an identity,” Darwinium Chief Operating Officer Michael Rodriguez explained. “That combination becomes particularly powerful in the agentic era. Businesses need to distinguish a trusted customer using a trusted agent from fraudsters and malicious automation without simply blocking AI-driven traffic. Together, GBG and Darwinium create a much richer picture of trust and give businesses the confidence to embrace new forms of digital interaction without compromising security or customer experience.”

Publicly traded on the London Stock Exchange, GBG combines global identity data and location technology to help companies and their customers defend themselves against fraud and digital crime. GBG’s technology provides identity data verification, document authentication, biometric verification, and more, helping bolster business resilience and supporting responsible growth at scale for more than 20,000 customers around the world. Founded in 1989 and headquartered in Chester, GBG also announced this month a referral partnership with geolocation compliance platform GeoLocs, which will introduce its operator clients to GBG’s identity verification and fraud prevention capabilities.

“Identity remains fundamental to digital trust. As AI agents become an increasingly important part of the customer experience, businesses also need the context to understand what is happening after identity has been established,” GBG Chief Product & Technology Officer Gus Tomlinson said. “By bringing Darwinium’s behavioral and intent intelligence together with GBG’s identity and location capabilities, we can give customers a more complete view of trust across the journey. It allows us to combine what we know about an identity with how a human or agent is actually behaving, helping our customers make more informed fraud decisions while continuing to deliver fast, low-friction digital experiences.”

Founded in 2021 in San Francisco, California, Darwinium most recently demoed its technology at FinovateFall 2026. At the conference, the company showed how its platform reveals undeclared AI agents operating through the browser, which are often missed by point-in-time device, behavioral biometrics, and bot solutions. Darwinium’s technology probabilistically distinguishes humans from AI agents via agent-to-browser interaction signals that are hard for agents to suppress. This helps banks, credit unions, and other financial institutions determine when agents are fraudulently posing as customers while enabling genuine users to act unhindered.


Photo by Cody Beale