APPLICATION SECURITY
Secure Your Customer Identities
Without Compromising Their Experience
SpyCloud secures the identity layer of consumer-facing applications, powering ATO prevention at account creation through every login with real-time darknet identity insights.
With API integrations and holistic identity analytics, you can detect risk earlier, enforce controls, and maintain a seamless user experience.
The holistic identity lens on account integrity
As identity-based threats continue to evolve, so must your ability to detect and respond to exposures at the infrastructure level. SpyCloud delivers your users’ darknet-exposed session cookies, credentials, and identity artifacts for smart decision-making across the user journey, so you can apply the right controls at the right time without degrading user experience.
Tap into SpyCloud’s unmatched data recaptured from malware infections, successful phishes, combolists, and breaches to identify users with exposed cookies, credentials, or identity artifacts tied to their many online personas – before attackers exploit them
Integrate continuous checks across key lifecycle moments like account sign-up, login, password resets, and re-authentication. Get early signals on whether a user identity is low- or high-risk
Our APIs were built for flexible deployment – embed them directly into your application or internal tools to programmatically respond to exposure according to your risk tolerance
Beat bad actors to the punch with automated ATO prevention
When users reuse passwords or fall for phishing attacks, consumer access to your products and applications gets risky. Stolen credentials and malware-exfiltrated authentication data fuel sophisticated attacks, and it’s increasingly hard for traditional defenses to detect them – let alone prevent them.
SpyCloud’s holistic identity approach gives AppSec teams a better way to identify vulnerable users at the point of login or account creation, so you can immediately secure access to your applications. Get started today to reduce risk exposure without relying on post-login fraud detection.
Focus on confirmed identity exposures, not vague risk scores – SpyCloud delivers context-rich signals so you can apply the right security controls, only when needed
Trigger context-aware controls like step-up authentication, password resets, and session termination, using exposure type, severity, and origin to tailor your response
Passwords are just the beginning. SpyCloud detects malware-exfiltrated cookies and device identifiers – helping you mitigate advanced identity abuse techniques that bypass MFA
With purpose-built APIs and support for high-throughput environments, SpyCloud fits right into high-volume applications for agile AppSec teams
EXPLORE USE CASES FOR SPYCLOUD
Get ahead of identity exposures today
Enhance your AppSec strategy with identity threat protection
SpyCloud lets you operationalize darknet-exposed identity data – giving you a stronger foundation for securing consumer-facing applications. See how your team can use SpyCloud to prevent fraud and secure user identity across every stage of the app lifecycle.
Application Security and ATO Prevention FAQs
SpyCloud provides three APIs designed for different authentication touchpoints. The Password Exposure API checks submitted password hashes using k-anonymity at account creation and password reset, blocking the use of known-compromised passwords without exposing the full credential to SpyCloud. The User Exposure API performs a real-time check at login against breach, malware, and phishing records, returning a risk signal that can trigger step-up authentication for exposed users without adding friction for clean ones. The Consumer IDLink API performs multi-artifact identity correlation at account creation, checking whether the combination of email, phone, username, and IP submitted together is consistent with a synthetic identity pattern.
SpyCloud’s Password Exposure API implements k-anonymity by accepting the first five characters of a SHA-1 password hash and returning all matching compromised hashes without receiving the full password or hash. The client application checks whether the full hash is in the returned list. This means SpyCloud never receives or stores the actual password submitted at login or account creation, satisfying both privacy requirements and the security principle of least privilege. The approach follows the same pattern established by HaveIBeenPwned’s range API, making it straightforward for AppSec engineers to implement.
Authentication controls including MFA, CAPTCHA, and device fingerprinting all operate at the point of login. Session cookies produced by a successful login are outside their scope. When infostealer malware or AitM phishing steals a user’s session cookie, the attacker holds a valid authenticated session that bypasses all login-time controls. SpyCloud’s Session Identity Protection API provides AppSec teams with a continuously updated feed of compromised session cookies tied to application domains, enabling session invalidation for users with confirmed stolen cookies. This is the control layer that sits above authentication rather than at it.
Credential stuffing uses real stolen credentials from an actual person to take over their existing account. Synthetic identity fraud uses fabricated or combined identity elements to create a new fraudulent account. The two require different detection approaches. For credential stuffing at login, the User Exposure API checks whether the submitting user’s identity has been compromised in breach, malware, or phishing data. For synthetic identity at account creation, the Consumer IDLink API correlates multiple submitted identity artifacts simultaneously to detect whether their combination is consistent with known synthetic identity patterns, criminal account farming activity, or prior exposure in criminal data.
AppSec teams typically own the authentication and account creation code layer: how credentials are validated, how sessions are issued and managed, and how anomalous authentication behavior is detected. Fraud teams typically own the decisioning layer: which users to challenge, block, or escalate based on risk signals. SpyCloud sits at the boundary. The Password Exposure API and User Exposure API are typically implemented by AppSec engineers in the authentication code. The risk signals those APIs return feed into the fraud decisioning engine. The Consumer IDLink API is used by both teams depending on whether synthetic identity detection lives in AppSec or fraud operations at a given organization.