Tag Archive for: introduces
Incognia Introduces New Location Identity Fraud Detection Tools
Palo Alto, CA — March 15, 2022 —Mobile authentication pioneer Incognia, today announced the launch of new location identity fraud detection modules to support mobile app security for customers across finserv, crypto, social networks, online gaming and more. Incognia’s solution modules include Location Spoofing Detection, Global Mobile Address Validation, and Trusted Device Intelligence – all of which can be used for preventing mobile app fraud during onboarding, logins and transactions.
With Finance app downloads totaling 5.9B in 2021, increasing 28% YOY, and Gaming apps seeing more than $16B in consumer spend in 2021[1], it is not only new users that are flocking to fintech and gaming apps but also fraudsters. Incognia’s new solution modules offer enhanced fraud prevention capabilities for mobile apps by leveraging location and device intelligence signals directly from the user’s device. Fraudsters are adopting new fraud techniques targeted at mobile including use of location spoofing to hide and obscure the true location of the user. A key benefit of Incognia fraud detection modules is that they add no friction to the user experience and work silently in the background, providing highly accurate risk assessments to prevent fraud.
Incognia module offerings include:
- Location Spoofing Detection: Location spoofing detection is especially important for trust and safety in mobile apps for social, dating, transportation, food delivery, gambling and gaming. Incognia is highly effective in detecting GPS location spoofing during onboarding, new account creation, login and transactions & payments. The Incognia SDK collects anonymous location data from mobile devices through its proprietary location technology using GPS, Wifi, cellular and Bluetooth sensors data. Whenever a user tries to login or perform a sensitive transaction in the app from a new or existing device, Incognia provides a risk score and associated evidence based on the correlation of current and historical user location behavior and device intelligence data.
- Global Mobile Address Validation: Mobile apps with global coverage need solutions for international address validation. Incognia Global Mobile Address…
HackNotice Introduces the First-Ever Free Combined Security and Threat Awareness Service
Fremont, CA: HackNotice launched world’s first security and threat awareness combination service available to both new and current users. Individuals may expand their understanding of appropriate cyber hygiene practices by taking the additional security awareness training course. The course includes 50 instructional videos, a cybersecurity exam, and accreditation
The new program is a wonderful addition for clients of HackNotice Teams, HackNotice’s security and threat awareness service, who are eager to boost their enterprise’s security programs. Quick, on-the-spot courses are ideal for engaging employees and business divisions inside an organization. Clients may also view dynamic statistics to see user and organizational progress and opportunities for development.
Hacknotice is the first company-wide security awareness software that makes staff more careful when using the internet. Users monitor, review, and respond quickly to real-world cyber-threats. The Hacknotice platform focuses on bridging the gap between the security staff and other workers through real-time warnings, round-the-clock monitoring, recovery advice, and extra education.
Cybersecurity training gets primarily provided to corporation personnel, with rigorous, week-long seminars and lectures typically costing hundreds of thousands of dollars. On the other hand, having strong security awareness is essential for any individual. The newly published self-paced course assures that everyone who has access to the internet may learn proper cyber practices.
HackNotice’s new course provides focused modules tailored to a user’s risk profile. “What makes the combined service great is that our threat modeling and security awareness course work together. When someone faces a large amount of personal information exposure, we recommend more phishing training. When someone has several passwords stolen, we have them focus on our password training. Now, users can receive the critical training that they need instantly, tailored to their specific risks,” said Steve Thomas, CEO and Co-Founder of HackNotice.
Palo Alto Networks Introduces PAN-OS 10.2 Nebula
SANTA CLARA, Calif., Feb. 9, 2022 /PRNewswire/ — Palo Alto Networks (NASDAQ: PANW), a 10-time leader in network firewalls, today announced Nebula, the latest upgrade of its industry-leading PAN-OS software, to help find the evasive, zero-day attacks that can cripple organizations — and stop them in their tracks.
PAN-OS® 10.2 Nebula collects, analyzes and interprets potential zero-day threats in real time using inline deep learning — a network security first. This results in six times faster prevention and 48% more evasive threats detected, surpassing anything previously available. Nebula also introduces AIOps — Palo Alto Networks tenth security service — and the new Advanced Threat Prevention service while enhancing Advanced URL Filtering, DNS Security, IoT Security and other related security services.
“In the past, nation-state-led cyberattacks were considered the rarest and most advanced. But today, attackers of all kinds have an advanced arsenal at their fingertips; every organization must now assume they will be the target of a nation-state-level attack,” said Lee Klarich, chief product officer, Palo Alto Networks. “Modern network security requires a fundamentally new approach. Today, Palo Alto Networks has brought that new approach to our ML-Powered Next-Generation Firewalls by harnessing the processing power of the cloud to enable deep learning inline. We believe that is how all network security will be done in the future.”
Security services that are being added and enhanced include:
- Advanced Threat Prevention: A new best-in-class intrusion prevention system (IPS), which brings security analysis from “offline” to “inline” using cloud compute for AI and deep learning techniques — without sacrificing performance. Advanced Threat Prevention can detect many unknown and targeted command and control (C2) attacks as well as evasive attacks from tools such as Cobalt Strike.
- AIOps: The new AIOps uses machine learning to predict up to 51% of disruptions to NGFWs before they impact the firewalls.* In addition, with telemetry from over 6,000 deployments, AIOps continuously recommends best practices to improve overall security posture.
- DNS Security: Now extends protection…