Defend Trust in a World of Stolen Identities

Financial institutions face credential stuffing attacks at login, session hijacking from stolen cookies, and synthetic identity fraud at account opening. SpyCloud addresses each. At login, the User Exposure API checks whether the authenticating customer has a confirmed breach or malware exposure, triggering step-up authentication only for confirmed high-risk users. For session hijacking, Session Identity Protection provides a continuously updated feed of compromised session cookies tied to the institution’s domains, enabling session invalidation before attackers drain accounts. For synthetic identity at onboarding, Consumer IDLink correlates submitted identity artifacts against SpyCloud’s recaptured criminal dataset to detect fabricated identity patterns.

FFIEC authentication guidance and NIST SP 800-63B both require financial institutions to implement risk-based authentication that accounts for credential compromise signals beyond password strength and MFA enrollment. SpyCloud’s continuous credential monitoring against recaptured breach, malware, and phishing data satisfies NIST SP 800-63B Section 5.1.1.2, which requires automated forced resets against a continuously updated compromised credential list. For FFIEC purposes, SpyCloud provides the external threat intelligence layer that FFIEC guidance identifies as a component of effective authentication risk management.

Financial services CTI and fraud investigation teams use SpyCloud Investigations to trace the criminal infrastructure behind fraud campaigns: connecting email addresses used in account takeover attempts to criminal personas, linking device fingerprints across multiple fraud incidents, and surfacing the breach or malware source where attacker credentials originated. A CTI lead at a Fortune 100 financial services company reported saving at least 10 minutes per investigation using SpyCloud’s identity correlation. The Investigations API integrates into fraud case management workflows, enabling automated enrichment of fraud cases with SpyCloud identity correlation results.

SpyCloud recaptures four categories of identity data relevant to financial services: third-party breach credentials exposing employee and customer accounts, infostealer malware logs from infected employee devices revealing the full scope of application credentials stolen in a single infection, phishing capture data from AitM phishing campaigns that steal credentials and session tokens mid-authentication, and compromised payment card data from infostealer and breach sources with associated cardholder PII for card fraud prevention. In 2025, a financial services company using SpyCloud reported discovering 3,000 to 11,000 direct credential matches per hour at peak, each representing an account that could have led to account takeover without early detection.

SpyCloud is an upstream intelligence layer that adds confirmed identity exposure signals to existing fraud decisioning engines, SIEM platforms, and IAM infrastructure. It does not replace fraud platforms, SIEM tools, or identity providers. For fraud teams, SpyCloud’s exposure signals feed into existing risk models as an additional feature alongside behavioral, device, and transaction signals. For security teams, SpyCloud integrates with Active Directory, Okta, and Entra ID for automated credential remediation, and with Splunk, Sentinel, and Cortex XSOAR for enriched security alerting.