Managing cyber risk to keep money, markets, and customers safe
Open banking APIs, cloud-native applications, and rapid SaaS integrations accelerate innovation but introduce risks
Disruptions across payment processors, core banking vendors, SaaS platforms leads to customer impact & financial loss
NYDFS, FFIEC, OCC, FDIC, SEC– all demand timely, defensible evidence of incident response readiness & material impact
Thousands of external partners, yet little real-time visibility into vendor posture, emerging threats, or critical dependencies
Risk leaders must defend budgets and prove ROI, often without the quantitative insights needed to make investment decisions
Securing financial services so trust and operations never break
Get continuous risk visibility across core banking systems, fintech partners, cloud providers, & vendors
Map risk scenarios across BUs & assets to disruptions such as ransomware, data exfiltration, and more
Communicate the impact of risk in financial terms to drive informed decisions and risk reduction
Meet strict regulatory timelines for reporting cyber incident materiality with FAIR-MAMTM
Get built-in, customizable compliance dashboards for NYDFS 500, PCI DSS, NIST, NIS2, DORA, and more
Leverage AI-powered, prompt-based reporting to generate regulatory, board, and audit-ready reports
Minimize operational risk caused by vendor failures, concentration risk, and single-provider dependencies
Accelerate detection of third-party breaches to minimize disruption to critical financial services
Gain visibility into third- and fourth-party ecosystems — core banking providers, cloud platforms, and more
Experience autonomous TPRM, so teams focus on risks that disrupt services or create compliance exposures
Accelerate innovation by getting critical partners and service providers live in days instead of weeks
Auto-answer questionnaires and assessments, save hours of time in reconciliation to fast track risk assessments
Evaluate AI risk posture using the NIST AI-RMF framework to meet industry standards
Generate emerging and AI risk scenarios including risks posed by specific hacker groups
Quantify new and emerging risks via breach likelihood and loss for AI-related risk scenarios
Build business-unit–specific risk reduction strategies for Retail, Commercial, Payments, Capital Markets, and more
Run what-if analyses to see how changes to controls and third-party risk reduces business operations
Demonstrate the ROI of security investments that drive the greatest risk reduction to get stakeholder buy-in
Instacart’s TPRM team managed hundreds of vendors through manual processes that slowed assessments and limited visibility. They needed a more automated, risk-based approach to scale the program.
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