CIBI Impact 2026 highlights the need for broader visibility, coordinated verification, and shared intelligence as fraud moves across financial institutions and digital platforms.
As financial fraud becomes more interconnected, financial institutions are under growing pressure to share intelligence and strengthen visibility across the wider ecosystem.
One initiative addressing that gap is the Fraud Intelligence Data Sharing (FIDS) Network, which brings together financial institutions and other stakeholders to share fraud intelligence and identify emerging threats that may not be visible within a single organization. Partners include BDO, RCBC, GoTyme, SB Finance, and the Cybercrime Investigation and Coordinating Center.
The need for greater coordination was among the issues discussed at CIBI Impact 2026, where industry leaders examined how banks, fintechs, and other financial services providers can strengthen fraud detection as threats increasingly move across multiple accounts, platforms, and institutions.
Closing the visibility gap
“The fraudster or the scammer can see the complete picture, but the institutions involved in this scam or fraud cannot,” said Atty. Roberto L. Figueroa, general counsel of the Bangko Sentral ng Pilipinas. “This is the gap, therefore, that we need to close.”
The challenge is becoming more complex as fraudsters use deepfakes, phishing, identity theft, and mule accounts to move across different parts of the financial ecosystem. A whitepaper by IDfy cited at the forum found that fraud affected 34% of Filipinos in 2025, while digital fraud is estimated to cost corporations as much as ₱4 trillion annually.
Even institutions with strong internal controls can struggle to detect broader patterns when relevant information sits outside their own systems.
“No institution can see an entire fraud pattern on its own,” Figueroa said. “But through trusted data, coordinated verification, timely intelligence, and sound legal safeguards, we can make the system more capable of detecting fraud early and preventing it from moving further.”
AI raises both opportunity and risk
Artificial intelligence is increasingly part of both the defense against fraud and the threat itself. Financial institutions are using AI-enabled tools to automate processes and make decisions faster, while fraudsters are also using similar technologies to impersonate identities, adapt tactics, and scale attacks.
That dual role is pushing more institutions toward behavioral analytics and unified fraud-management platforms. GBG’s 2026 Fraud Survey found that 73% of APAC financial institutions are using behavioral analytics for fraud risk management, while 64% have adopted unified fraud platforms.
The difference between those figures points to a continuing challenge: institutions may have access to sophisticated analytics, but those tools are most effective when multiple sources of intelligence can be connected and viewed together.
Identity needs to be verified continuously
“We can no longer assume that an identity, an account, or credentials is trustworthy because it appears legitimate,” said Pia Arellano, president and CEO of CIBI Information Inc. “The question for institutions is whether they can verify, understand, and see beyond their own line of sight.”
That broader view becomes particularly important when fraud patterns develop over time rather than through a single suspicious transaction.
“When trying to identify an emerging threat, a single transaction or a single interaction rarely tells the whole story,” Arellano said. “You need to understand behavior over time and see patterns across the ecosystem. That requires intelligence that extends beyond the information held by any one institution.”
Connected threats need connected defenses
As financial services become more integrated, fraud prevention will increasingly depend on how effectively institutions can share intelligence while maintaining appropriate safeguards around privacy, security, and lawful data use.
The FIDS Network reflects that direction by giving participants a wider view of fraud signals and patterns that cross institutional boundaries. The goal is not simply to collect more data, but to connect relevant information early enough to prevent suspicious activity from moving further through the financial system.
“Fraudsters do not operate within the boundaries of one bank, one fintech or one platform. They move across the ecosystem, exploiting the gaps between institutions,” Arellano said. “If the threat is connected, then our defences need to be connected, too.”
More information is available through the CIBI website.