Jakarta, INTI - Indonesian cybersecurity consulting firm Dwarapala has launched an artificial intelligence (AI)-based cybersecurity platform, Wolvesight, to help financial institutions detect attacks on transaction flows, authorizations, and business workflows that often escape conventional security scans.
Wolvesight uses a multi-agent AI approach that works like a team of autonomous security testers to read application flows, develop attack scenarios, run controlled exploitation simulations, and generate evidence-based findings.
Wolvesight founder Thomas Gregory stated at a press conference in Jakarta on Thursday, June 4, that the platform works to test for business logic gaps that arise when business rules, authorization processes, transaction limits, or user access rights are not strictly enforced within an application.
Entirely Developed by Indonesian Team
The gaps can allow attackers to perform actions that should not be permitted, such as manipulating transaction amounts, exceeding transfer limits, changing parameters mid-process, bypassing tiered approvals, or abusing access rights at specific user levels.
"With this approach, testing processes that previously took two to four weeks can now be completed in a matter of hours, especially for initial risk mapping, exploitation simulations, and the compilation of technical evidence for potential vulnerabilities," said Thomas.
Wolvesight was developed entirely by an Indonesian team and supports a self-hosted deployment model, allowing sensitive financial institution data to remain within the company's internal environment. This feature is crucial for the banking, digital payments, insurance, fintech, and other strategic industries that require security testing without moving data outside the organization's control.
Although Wolvesight uses artificial intelligence, human expertise is still needed for the final evaluation of AI-generated results.
Conclusion
Dwarapala launched an AI-powered cybersecurity platform called Wolvesight, designed to help financial institutions detect security vulnerabilities. The platform utilizes a multi-agent AI approach that can analyze applications, construct attack scenarios, run exploit simulations, and automatically generate evidence-based reports. Wolvesight can reduce testing time from two to four weeks to just a few hours. Developed entirely by an Indonesian team, the platform supports self-hosted deployments, ensuring sensitive data remains internally within the company.
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