Home
News
Tech Grid
Interviews
Anecdotes
Think Stack
Press Releases
Articles
  • Agentic AI

Oscilar Launches AI Agent Hub for Fraud, AML, and Risk Operations


Oscilar Launches AI Agent Hub for Fraud, AML, and Risk Operations
  • by: PR Newswire
  • |
  • June 6, 2026

Oscilar has launched Agent Hub, a coordinated suite of more than 30 AI agents designed to help financial institutions modernize fraud prevention, AML compliance, onboarding, sanctions screening, credit risk, analytics, and workflow operations through a unified risk platform.

Quick Intel

  • Oscilar launched Agent Hub with more than 30 AI agents for risk operations.
  • The platform supports fraud, AML, onboarding, sanctions, credit, analytics, and compliance workflows.
  • Agents operate from a unified customer risk profile and share signals in real time.
  • Oscilar claims the platform helps teams deploy policies 5x faster and reduce false positives by 45%.
  • Customers including SoFi, Nuvei, and Clara are already using the platform in production.
  • The company says it processes tens of billions of risk decisions annually.

Oscilar Introduces Unified AI Agent Platform for Financial Risk Operations

Oscilar announced the launch of Agent Hub, a coordinated AI-powered platform designed to help financial institutions streamline risk and compliance operations across the customer lifecycle.

The company said the launch addresses growing operational complexity as global financial crime continues to rise. According to Oscilar, financial crime now reaches $4.4 trillion annually and is growing at a compound annual growth rate of 19.2%.

Agent Hub combines more than 30 specialized AI agents operating from a unified customer risk profile that aggregates identity signals, transaction activity, behavioral patterns, device intelligence, network data, and historical case outcomes.

Unlike isolated AI point solutions, Oscilar said its agents continuously share intelligence and context with one another in real time while learning from analyst reviews and decisions.

"Fraudsters don't operate in silos. They probe onboarding, test payments, and exploit credit systems as a coordinated attack," said Neha Narkhede, co-founder and CEO of Oscilar. "There's no reason a financial institution's defense should be fragmented when the attack is coordinated. Oscilar Agent Hub orchestrates agents that share intelligence, so risk and compliance teams respond to new threats in minutes, probe their own data without a data team, and build new strategies without writing a single rule or filing a single engineering ticket."

AI Agents Designed for Fraud, AML, Credit, and Compliance

Oscilar said the platform helps risk and compliance teams automate operational workflows while reducing dependency on engineering and data teams.

The AI agents support a wide range of use cases, including:

  • Fraud detection and dispute management
  • AML alert review and sanctions screening
  • Credit underwriting and explainability
  • Workflow orchestration
  • Analytics and reporting
  • Policy recommendation and optimization

The company stated that teams can use natural language prompts to build workflows, analyze data, generate dashboards, adjust policies, and investigate alerts.

Among the platform’s specialized agents are:

  • Workflow Agent for building end-to-end workflows using natural language
  • Analytics Agent for querying data and generating trend analysis without SQL
  • Rule Recommendation Agent for optimizing thresholds and policy performance
  • AML L1 Review Agent for accelerating alert reviews
  • Sanctions Agent for screening transactions and entities
  • Fraud Disputes Agent for automating investigation workflows
  • Credit Explainability Agent for generating regulator-ready decision explanations

Oscilar said policy updates that previously required weeks of engineering work can now be completed within minutes.

Financial Institutions Report Faster Risk Operations

The company stated that several financial institutions are already using the platform in production environments.

According to Oscilar:

  • SoFi achieved 50% faster deployment of new credit risk strategies and improved decisioning speed by more than 30%.
  • Nuvei reduced manual underwriting time by 50% while increasing auto-adjudication rates by 15%.
  • Clara reduced review times from hours to minutes and increased throughput fourfold without additional headcount.

"Workflow Agents support SoFi's ability to make swift and accurate risk decisions and serve our members' needs. We can easily launch and iterate new policies and adapt with unprecedented speed," said Adam Colclasure, Senior Director of Risk Data & Decisioning at SoFi. "We've valued Oscilar's combination of speed, flexibility, and close collaboration as we grow our lending business."

Oscilar said the platform was built to eliminate the fragmentation that exists across traditional fraud, AML, and risk infrastructure, where disconnected systems and siloed workflows often slow investigations and create operational inefficiencies.

The company also highlighted the technical background of its leadership team. Co-founder and CEO Neha Narkhede previously co-created Apache Kafka at LinkedIn and co-founded Confluent, while co-founder and CTO Sachin Kulkarni spent over a decade at Meta leading large-scale infrastructure initiatives.

 

About Oscilar

Oscilar is the Agentic Risk Platform for financial institutions, giving risk and compliance teams direct control over fraud detection, AML compliance, credit underwriting, and onboarding without engineering dependency. Agent Hub, Oscilar's suite of more than 30 coordinated AI agents, operates from a unified view of every customer and transaction across the full risk lifecycle, enabling teams to build and deploy policies in plain language, resolve alerts faster, and share intelligence across every risk domain. More than 100 financial institutions trust Oscilar to process tens of billions of risk decisions per year, each in under 100ms. Oscilar is headquartered in Palo Alto, California.

  • Agentic AIFraud DetectionRisk ManagementFintech
News Disclaimer
  • Share