Honey Badger Debuts Risk Playbooks for No-Code Fraud Orchestration

Honey Badger HQ has launched Risk Playbooks, a visual, no-code builder designed to help fintechs and lenders orchestrate risk and identity workflows. By allowing risk teams to deploy live strategies without engineering intervention, the platform addresses the critical bottleneck between identifying fraud trends and updating defensive systems in a fast-moving threat landscape.

What was announced

Honey Badger HQ, a risk and identity intelligence platform, introduced Risk Playbooks to streamline how fintechs manage multiple data providers. The tool features a drag-and-drop canvas where risk analysts can orchestrate checks across a network of over 150 data sources. Users can set logic, apply scoring, and define business rules for pass, refer, or decline outcomes without writing code.

The core value proposition is the removal of engineering friction. Traditionally, integrating identity and credit data sources required months of custom development and individual integrations for every vendor. Risk Playbooks generates a single, dedicated API endpoint with tailored documentation for the specific workflow built. This allows engineering teams to integrate the system once, while risk teams update logic and strategies in real-time as fraud patterns shift. Changes made in the builder go live the moment they are saved.

The platform also incorporates a feedback loop designed to improve decision accuracy over time. By feeding confirmed outcomes back into the playbook, the system uses AI to refine scorecards and surface recommendations for adjusting rules. Early users of the tool, which include fintech, lending, and payments businesses, report that building and deploying new risk journeys is significantly faster—often minutes compared to months. The builder is currently available to existing customers through the Honey Badger portal.

"Risk Playbooks puts control back in the hands of the risk team. They can build a complete journey across multiple data sources in minutes, change it whenever they need to, and let the playbook get smarter from every decision it makes."

Matthew Salisbury, CEO of Honey Badger

The companies involved

Honey Badger, operating as Honey Badger HQ, Inc., is a risk and identity intelligence platform that provides services to the fintech and lending industries. The company focuses on solving the integration challenges faced by financial institutions that rely on a growing stack of third-party data providers for fraud prevention and credit decisioning. By offering a centralized platform for risk management, the firm enables its clients to manage complex data stacks without the need for extensive custom engineering.

The company is led by CEO Matthew Salisbury. Honey Badger occupies a specific niche in the fintech ecosystem known as risk orchestration. This market segment has grown as financial services become more modular, requiring specialized tools to connect disparate identity, fraud, and credit data sources. The platform’s primary value lies in its ability to consolidate these various signals into a single actionable decision point, aiming to reduce the time and technical resources required to maintain robust risk defenses in a rapidly evolving digital landscape.

What this means

The release of Risk Playbooks addresses a fundamental tension in fintech: the speed of fraud versus the speed of software development. By moving risk strategy into a visual, no-code environment, Honey Badger is effectively attempting to turn risk management into an agile function rather than a technical one. This move puts significant pressure on traditional risk vendors whose systems require manual configuration or developer tickets to update. The broader industry is clearly moving toward this orchestration model, where the value lies not just in the data itself, but in the speed at which that data can be reconfigured to meet new threats. This raises questions for the sector regarding how much autonomy risk teams can safely handle without introducing new operational oversights.