Incognia
Location intelligence software
Address verification tools
Biometric authentication software
Passwordless authentication software
Risk-based authentication software
Fraud detection software
Identity management software
Web security software
Business intelligence software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Incognia
Incognia is a mobile-first fraud detection and risk decisioning product that uses location signals to help businesses assess whether a user is legitimate during onboarding, login, and high-risk transactions. It is typically used by digital businesses such as financial services, marketplaces, and on-demand platforms to reduce account fraud and improve approval rates for good users. The product focuses on “location identity” derived from device and behavioral location patterns rather than one-time GPS checks, and it is delivered via SDK and APIs for integration into mobile apps and backend risk stacks.
Location-based risk signals
Incognia centers its risk assessments on location behavior patterns, which can add a distinct signal beyond device fingerprinting or document checks. This can help detect scenarios such as account takeover, synthetic identities, and promotion abuse where location consistency is informative. The approach is particularly aligned to mobile app flows where location permissions and sensor data are available. It can complement existing fraud stacks by providing an additional decision input.
SDK and API integration
The product is commonly implemented through mobile SDKs plus server-side APIs, which supports real-time decisions in onboarding and authentication flows. This integration model fits teams that already operate event pipelines and risk engines and want to add another signal source. SDK-based collection can reduce reliance on manual user input for address or location checks. It also supports embedding into native app experiences rather than only web-based workflows.
Supports risk-based authentication
Incognia is designed for step-up or frictionless decisions based on assessed risk, which aligns with risk-based authentication programs. Teams can use its outputs to trigger additional verification only when needed, rather than applying the same controls to all users. This can be useful in balancing fraud loss with conversion in high-volume consumer applications. The location signal can also help validate “known user” behavior over time.
Mobile-first coverage limits
Because the core signal depends on mobile device location data, value can be reduced for web-only journeys or environments where location access is restricted. Users who deny location permissions or use devices with limited sensor data may yield weaker signals. Organizations with significant desktop traffic may need additional tools to cover those channels. This can increase the complexity of maintaining consistent fraud controls across platforms.
Privacy and compliance overhead
Using location-derived signals can introduce additional privacy, consent, and data-governance requirements depending on jurisdiction and industry. Legal and security teams may require careful review of data collection, retention, and cross-border processing. Implementations may need clear user disclosures and opt-in/opt-out handling. These factors can extend deployment timelines compared with simpler verification methods.
Not a full IAM suite
Incognia provides fraud and risk signals but does not replace full identity and access management capabilities such as directory services, SSO, lifecycle management, or broad policy administration. Buyers looking for end-to-end identity management typically need to integrate it with existing authentication, authorization, and customer identity platforms. Reporting and investigation workflows may also depend on external SIEM, case management, or analytics tools. As a result, it is usually one component within a broader security architecture.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Essential | Volume-based (priced by MAU or API calls) — no public list prices; contact sales | Incognia API integration, device intelligence, tamper detection, dashboard access, developer intelligence & metrics. Intended as baseline device intelligence offering. |
| Advanced | Volume-based (priced by MAU or API calls) — no public list prices; contact sales | Adds proprietary location intelligence and cross-device recognition to Essential feature set (Location & Address Verification, enhanced cross-device signals). |
| Premium | Volume-based (priced by MAU or API calls) — no public list prices; contact sales | Custom modeling, raw data sharing for internal models, first access to new detections, dedicated customer success and custom data analysis. |
Notes:
- Incognia states it offers "volume-based pricing by MAU or API calls" and does not publish per-unit or per-seat prices on its official pricing page. (See source: official pricing page.)
- Incognia offers a Proof of Value trial (a production trial to validate the solution) and also advertises a free Developer Edition that provides free API usage for thousands of requests per month (Developer Edition intended for mobile app developers). These are available from the vendor's official site.
Seller details
Incognia, Inc.
Palo Alto, CA, USA
2019
Private
https://www.incognia.com/
https://x.com/incognia
https://www.linkedin.com/company/incognia/
