New infosec products of the week: October 23, 2020

Deepwatch Lens Score: SecOps maturity planning and benchmarking

Deepwatch Lens Score allows CISOs to quickly understand data source collection, active analytics, and what their Maturity Score is today and how to improve it. The powerful app is intuitive and delivers valuable data and insights to CISOs in a few minutes in the palm of their hand.

infosec products October 2020

Entrust launches direct-to-card solution for instant physical and mobile ID issuance

Sigma systems deliver a seamless user experience across the issuance process for desktop and mobile printing needs. It eliminates the frustrations of printer set-up with a modular design and an out-of-the-box implementation that takes less than 30 minutes for users to begin issuing identities.

infosec products October 2020

Splunk helps security teams modernize and unify their security operations in the cloud

Led by new, cloud-centric updates to Splunk Enterprise Security, Splunk Mission Control and the newly announced Splunk Mission Control Plug-In Framework, Splunk’s security operations suite enables Splunk customers to secure their cloud journey and solve their toughest cloud security challenges with data.

infosec products October 2020

Incognia launches fraud detection solution for QR code contactless payments

Incognia’s fraud detection solution for QR code contactless payments uses location behavioral biometrics to verify buyer’s and seller’s real-time and historical location behavior to protect against fake QR codes, account takeovers and use of fake synthetic identities during transactions.

infosec products October 2020

Incognia launches fraud detection solution for QR code contactless payments

Incognia announced the launch of its fraud detection solution designed for retailers, restaurants and payment providers leveraging QR codes for contactless payments.

Incognia fraud detection

This comes at a critical time; according to Gartner’s Consumer Pandemic Attitudes and Behaviors Survey, “40% agreed with the statement ‘I’m more willing to do business with stores or other commercial premises that offer contactless payment options.’ ”

With consumers ready to re-engage with vendors using contactless methods, health and security are top of mind as businesses push for faster adoption of contactless QR payments. U.S. merchants continue to be on high-alert for fraudulent transactions. In fact, for U.S. merchants, the cost of fraud is up 7.3% in 2020 from 2019. Every dollar of successful fraud now ends up costing U.S. retailers an astonishing $3.36.

“By 2024, 80% of ordering and replenishment will be touchless for most organizations. Customers have become more conscious about their health and safety, leading to changes in their consumption behavior in both their personal life and their work. One obvious change is the increasing popularity of contactless commerce, which enables end-to-end contactless self-service,” according to Gartner.

Incognia’s fraud detection solution for QR code contactless payments uses location behavioral biometrics to verify buyer’s and seller’s real-time and historical location behavior to protect against fake QR codes, account takeovers and use of fake synthetic identities during transactions.

The solution works for physical in store, remote and peer to peer QR code contactless payments. For consumers, Incognia’s technology creates a private digital identity that enables a user’s device to produce a unique location fingerprint, without compromising any of the user’s personally identifiable information.

The digital identity is also matched to the recent behavior of the device and the known behavior of the account.

“The year 2020 has seen a surge in contactless commerce as retailers rapidly adapt to keep consumers and staff safe,” said André Ferraz, CEO and Founder of Incognia.

“QR code contactless payments are seeing rapid adoption because of ease of use. QR codes can be easily integrated into retailer apps and scanned by consumers using a smartphone. We’re proud to provide our fraud detection solution to enable safer ways of doing business that are secure and frictionless.”

Incognia’s proprietary location technology uses network signals from GPS, Wi-Fi and Bluetooth along with on-device signals to identify precise locations without capturing any PII.

Incognia provides both real-time location verification and also builds an anonymous location behavioral pattern, unique for each user, that creates a location fingerprint for user authentication.

Incognia location technology is used in more than 90 million devices in the Americas, and analyzes more than 20 TB of anonymized location signals every day. Incognia provides an SDK for rapid integration into iOS and Android mobile apps.

Incognia launches location-based behavioral biometrics solution to combat mobile fraud

Incognia announced the launch of its location-based behavioral biometrics solution developed to combat rising rates of mobile fraud.

Incognia’s Anti-fraud SDK and APIs enhance identity verification and authentication for banks, fintech and retailers with mobile applications. Working in the background, Incognia builds a unique location fingerprint for each mobile user, without capturing or storing any PII, to create a private digital identity.

In 2019, 93% of all mobile transactions (1.7 billion in total, across 20 countries) were found to be fraudulent. As the volume of mobile transactions continues to grow rapidly with the global mobile payments market reaching $4.7 trillion by 2025, fraudsters remain eager to capitalize.

With fraud techniques continually evolving, existing static solutions such as passwords and knowledge questions are unable to provide users with a private and frictionless experience. Incognia location behavioral biometrics provides a new frictionless weapon for enhanced fraud detection and prevention.

“The phone is the new keyboard for conducting digital transactions; the bad guys know it and they’re after our privacy with the intent to commit fraud,” said Jay Bretzmann, Research Director at IDC.

“Incognia’s Anti-Fraud Solution is the tool mobile banking, fintech, and retail solution developers need to seriously combat mobile fraud and keep users secure. Dynamic, adaptive technology like Incognia’s location behavioral biometrics will help smell the rats and ferret out the attackers before damage is done.”

Incognia’s proprietary location technology uses network signals from GPS, Wi-Fi and Bluetooth along with on-device signals to identify precise location without capturing any PII. By building an anonymous location behavioral pattern, unique for each user, Incognia provides a private identity that is dynamic and adaptive.

Key features of the Incognia Anti-Fraud Mobile SDK include:

  • Continuous address verification API: Incognia’s technology continuously validates location information, and can detect and alert for changes in behavior that indicate a change of address (or possible fraudulent activity). Location data is collected by the Incognia SDK which matches device visit history to each address claimed during an account opening.
  • Location fingerprint API: Incognia location fingerprint can be used to validate existing account holders, specifically those re-engaging and logging in on a new device, and prevent account takeover fraud while keeping false positives low. The location fingerprint is a behavioral biometric signature based on a user’s unique location behavioral pattern and no two are alike.
  • Trusted location API: Incognia compares the user’s current location with their historical location behavior and assigns a risk score based on whether the location can be considered familiar or trusted for this user. This information is used to validate actions such as account login and in-app transactions and flag attempts at account takeover and fraudulent payment.
  • Device integrity API: Incognia uses several techniques to validate device integrity. This solution ensures the data quality of Incognia’s continuous Address Verification and Location Fingerprinting solutions. The Incognia SDK scans numerous device attributes, including app and file details, to identify anomalies that may indicate malicious intent. It can detect rooting, as well as other attempts to produce fraudulent data.

These key features combine to deliver anti-fraud solutions for secure onboarding, account takeover prevention and secure payments for clients. Incognia is enabled via an SDK and APIs that work on both Android and iOS devices. Data collected by the SDK is anonymized with hash and encryption techniques.

“The U.S. needs a privacy-first solution to combat mobile fraud,” said Andre Ferraz, CEO and Founder of Incognia. “With the Incognia SDK, our customers can reduce fraud through the use of location behavioral biometrics, provide a secure frictionless experience for their users and above all, protect their users’ privacy.

“By using Incognia, companies will operate more securely at a lower risk while ensuring their customers are protected every step of the way. Our team has the expertise and talent to help the mobile commerce and baking market keep their valued customers secure at all times.”

The new solution comes as Incognia welcomes Paula Skokowski into the role of Chief Marketing Officer. Skokowski brings more than 20 years of experience launching startups, pioneering technology products and scaling companies.

She has worked with top companies including Yubico, Shape Security and Accellion, where she demonstrated leadership in go-to-market strategy, product definition and development, marketing and sales enablement.