Artificial Intelligence
Appdome Unveils GenAI-Powered Mobile Threat Resolution
New Threat Resolution Center revolutionizes cyber support, dramatically lowering resolution time and getting users back to using the mobile apps they love.
SAN FRANCISCO, July 30, 2024 /PRNewswire/ — Appdome, the experience leader in mobile defense, today announced its new Threat Resolution Center, powered by GenAI. The new service enables mobile support teams to instantly identify mobile threats, generate context-specific resolution steps, and improve threat response for all stakeholders. Appdome will be demonstrating the new GenAI powered Threat Resolution Center live at the upcoming Black Hat USA cybersecurity conference in Las Vegas Aug. 7 and 8.
The scope, diversity, and sophistication of mobile threats are exploding. This, combined with the proliferation of malware, spyware and AI-based threats, means that the risk to mobile identity, data and transactions is higher than ever. Legacy mobile app security, anti-fraud and other products don’t consider the user experience. When mobile attacks happen, mobile end users are typically locked out of their accounts and left confused, frustrated, and flying blind. Likewise, understanding, and troubleshooting mobile cyber-attacks and threats is complex, time consuming and costly – for the mobile brand, enterprise and user.
The new Appdome Threat Resolution Center leverages the power of GenAI to provide real-time, context-specific, step-by-step guidance for end users to resolve threats and attacks on mobile devices quickly. This gives mobile support teams and end users the information they need to get past any attack fast. It also shrinks the mobile attack surface by speeding removal of mobile threats on end user devices. Mobile support teams also realize a boost in productivity by delivering faster mean time to resolution (MTTR) and reducing overall cost of threat response for all end users.
“We’ve been evaluating LLMs and GenAI as part of the threat response lifecycle since GenAI came on the scene,” said Tom Tovar, co-creator and CEO at Appdome. “Threat Resolution Center leverages two new innovations at Appdome – our new ThreatCode™ and Threat Resolution Agent™ – with GenAI to quickly synthetize massive amounts of unstructured data into step-by-step instructions that stop cyberattacks, malware and other threats on mobile end user devices fast.”
Fraud, malware and other attacks, combined with limited attack data and poor resolutions destroy the mobile experience. When cyberattacks happen, fire-drills arise between cyber and support teams. Triage, diagnosis and removing threats from mobile devices is extremely complex, time-consuming and challenging due to the immense diversity and dynamic nature of (a) mobile exploits, tools and malware, (b) mobile devices, (c) mobile operating systems (OS), (d) mobile networks and (e) other factors. To make matters worse, many forms of malware can hide inside other mobile apps, and access mobile apps via accessibility, custom keyboards and other settings. What works to remove a threat on one mobile device, mobile OS and network will not work for a different threat on a different mobile device, mobile OS and network.
“The mobile ecosystem is diverse, with seemingly endless permutations of apps, exploits, operating systems, and device types. Detecting and removing threats and attacks can feel impossibly difficult, let alone doing so with the user experience in mind,” said Katie Norton, Research Manager, DevSecOps and Software Supply Chain Security at IDC. “Appdome’s ThreatCode and Threat Resolution Agent aim to address this challenge by leveraging RAG-optimized GenAI, automatically creating and chaining GenAI prompts to bring threat-specific, context-aware instructions that seek to balance quick threat resolution with a high-quality user experience.”
How Appdome Threat Resolution Center Works
When an attack or threat is detected by an Appdome-protected mobile app, the Appdome Defense Framework in a mobile app dynamically generates a context-specific ThreatCode™. The ThreatCode is encoded with detailed and specific data about the threat, attack method, device, OS and other information, providing the DNA of each attack on the mobile end user’s device. Support, engineering or cyber personnel at mobile brands and enterprises enter the ThreatCode into Appdome’s Threat Resolution Center where Appdome’s Threat Resolution Agent™ generates the GenAI-prompts using retrieval augmented generation (RAG) to query and optimize responses from GenAI for the attack. The resolution response includes how to identify and understand the attack, how to find the attack, and the step-by-step instructions to remediate or remove the mobile threat on the end user’s device, creating – for the first time – true self-service threat response and real-time threat resolution for mobile end users.
“Better threat resolution is critical to better brand loyalty and the best end user experience,” said Chris Roeckl, Chief Product Officer at Appdome. “Legacy products get in the way of app experience, doing little more than crashing the app with no data about the attack and no way to help the user. Appdome, by comparison, puts the user first – first by removing the engineering burden and now, by removing the support burden from the cyber defense lifecycle.”
Appdome will be demonstrating its new Threat Resolution Center at the Black Hat Conference in Las Vegas Aug. 7-8, 2024 at booth #1350.
Learn more about Appdome Threat Resolution Center and schedule your demo online.
About AppdomeAppdome is the experience leader in mobile defense. Our award-winning, and patented, mobile defense platform uses AI-ML to automate the work and complexity out of securing mobile businesses, apps and users. With Appdome, mobile brands and enterprises enjoy a single pane of glass to create Certified Secure™ mobile apps with ease, eliminating multiple point products and SDKs, and unifying mobile app security, anti-fraud, anti-bot, anti-malware, geo compliance, social engineering and other defenses with real time threat monitoring, mobile EDR, XDR, and IR for external-consumer and internal-employee facing mobile apps. At 340+ mobile app defense features and growing, Appdome provides the most comprehensive and extensible mobile defense solution on the market. The platform is fully automated out of the box using pre-built plugins to the full DevOps, CI/CD and Enterprise automation and support stack. Appdome also leads the market in user experience and support, with its industry leading, in-app, Threat-Events™ threat intelligence framework and GenAI powered Threat Resolution Center™. These, combined with a host of enterprise grade and compliance features built into the platform, allow all stakeholders, including mobile engineering, cyber teams, network security, DevOps, SecOps, IT, UEM-MAM, mobile support teams, and mobile end users to benefit from using Appdome. Appdome holds several patents including U.S. Patents 9,934,017 B2, 10,310,870 B2, 10,606,582 B2, 11,243,748 B2 and 11,294,663 B2. Additional patents pending.
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Artificial Intelligence
GEEKOM releases a perfect mini PCs with dual 2.5Gbps Ethernet ports – GEEKOM GT1 MEGA
TAIPEI, Sept. 20, 2024 /PRNewswire/ — GEEKOM, a Taiwanese tech company also known as the Green Mini PC Global Leader, recently released a strong lineup of flagship mini PCs with Intel Core Ultra processors and dual Ethernet ports, making it possible for users to enjoy impeccable performance and superb networking functionalities at the same time.
One of these mini PCs is the GEEKOM GT1 Mega, which employs a beautiful aluminum chassis with plenty of I/O, including two full-function 40Gbps USB4 Type-C, six USB Type-A, 2 HDMI2.0, a 3.5mm audio jack, an SD card reader and dual Ethernet ports. The two Ethernet jacks are both of 2.5Gbps standard, which not only delivers high-speed and reliable internet connection for people’s daily computing chores, but also enables the mini PC to serve more sophisticated networking functionalities as a soft router, a virtual machines, a hardware firewall, or even a home server. Besides, dual Ethernet ports can separate internal and external network connections, providing logical and physical separation of trusted and untrusted network traffic and keeping data safe from potential cyber-attacks.
The GT1 Mega is powered by Intel’s latest and smartest Core™ Ultra processor (up to CoreTM U9-185H) and dual-channel DDR5-5600MHz RAM. Thanks to the new CPU, GPU, and NPU three tier multi-processing architecture, the mini PC is ready to harness the superpowers of Artificial Intelligence. It is compatible with more than 500 AI models across 20+ categories and supports high-performance low-power processing in a wide range of computing scenarios, which include enhancing facial features and blurring the background during video calls, removing the vocals from songs to create karaoke tracks, and generating large-scale images based on texts or voice commands. Basically, the GT1 Mega allows users to finish tasks that used to take hours or even days through only a few keystrokes!
The GEEKOM GT1 Mega,is now available on GEEKOM’s official website.
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Artificial Intelligence
Lucinity Partners with Sift for Unified Fraud and AML Case Management
SAN FRANCISCO, Sept. 19, 2024 /PRNewswire/ — Lucinity and Sift have announced a partnership, unifying fraud and Anti-Money Laundering (AML) into Lucinity’s integrated FinCrime compliance platform for case management, agent-enabled workflow automation, and Generative AI.
Sift is an AI-powered fraud platform securing digital trust for leading global businesses. Its Global Data Network analyzes more than 1 trillion events and identity signals per year to prevent fraud across the entire consumer journey. Lucinity and Sift formed this new partnership to address the challenges of fragmented fraud and AML systems, aiming to centralize and enhance financial crime investigations.
Sift’s AI-powered solution will now be integrated into Lucinity’s platform. This collaboration enhances Lucinity’s ability to provide a seamless and efficient compliance solution. It allows teams to review and manage fraud alerts more effectively through Lucinity’s unified Case Management system, thanks to the native integration between the systems. Key benefits to Lucinity’s users include:
Real-Time Fraud Screening: Payments are screened for potential fraud in real time, utilizing Sift’s fraud detection capabilities.Automatic Payment Holds: Payments suspected of fraud are temporarily held, ensuring verification before processing.Streamlined Reviews: Compliance teams can conduct thorough reviews of flagged payments within Lucinity’s Case Management solution.Risk Level Adjustments: Fraud detection parameters can be customized to adjust sensitivity levels, adapting to emerging fraud trends and risk appetites.This partnership also enables users to leverage Lucinity’s Generative AI capabilities through the Luci copilot to investigate fraud cases more efficiently.
Udi Nessimyan, President and Chief Revenue Officer of Lucinity, comments, “One of the greatest challenges in fighting financial crime is fragmented systems and data. Our partnership with Sift helps address this challenge by providing a centralized platform for various case types, including AML, fraud, sanctions, and ad hoc cases. Our collaboration significantly enhances the productivity of investigation teams, reducing the time spent on cases from hours to minutes.”
Sift’s Chief Marketing Officer, Armen Najarian, emphasizes the collaborative effort to enhance financial crime prevention, stating, “Cybercriminals are increasingly leveraging AI to bypass traditional anti-money laundering and fraud controls, creating sophisticated and dynamic threats. To combat these evolving risks, companies must adopt a ‘fight fire with fire’ approach by leveraging AI-powered solutions. Through Sift’s partnership with Lucinity, businesses can stay ahead of fraudsters, ensuring robust protection against abuse and enabling fearless growth.”
About Sift: https://sift.com About Lucinity: https://lucinity.com
Media contact:Celina [email protected] +354 792 4321
View original content:https://www.prnewswire.co.uk/news-releases/lucinity-partners-with-sift-for-unified-fraud-and-aml-case-management-302253487.html
Artificial Intelligence
Employee Background Check Software Market Size to Grow USD 828.8 Million by 2030 at a CAGR of 4.9% | Valuates Reports
BANGALORE, India, Sept. 19, 2024 /PRNewswire/ — Employee Background Check Software Market is Segmented by Type (Cloud-Based, On Premises), by Application (SMEs, Large Enterprises): Global Opportunity Analysis and Industry Forecast, 2024-2030.
The Global Employee Background Check Software Market was valued at USD 587 Million in 2023 and is anticipated to reach USD 828.8 Million by 2030, witnessing a CAGR of 4.9% during the forecast period 2024-2030.
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Major Factors Driving the Growth of Employee Background Check Software Market:
The employee background check software market is growing due to increasing demands for secure hiring processes and regulatory compliance, especially in industries such as finance, healthcare, and IT. As companies look to reduce risks associated with fraud, legal liabilities, and workplace safety, background checks are becoming a critical part of recruitment processes. The rise of remote work has further accelerated the need for digital solutions. However, challenges include concerns over data privacy and varying legal frameworks across regions, which may slow adoption in some areas.
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TRENDS INFLUENCING THE GROWTH OF THE GLOBAL EMPLOYEE BACKGROUND CHECK SOFTWARE MARKET:
Cloud-based background check software is gaining traction due to its scalability, remote access, and cost-effectiveness. With cloud-based systems, businesses can streamline their hiring processes, particularly when operating across multiple locations. The ability to access data and conduct checks in real-time is highly valuable for organizations managing large workforces or remote employees. The flexibility and lower upfront investment of cloud-based solutions make them popular among businesses seeking efficient and adaptable systems for their recruitment processes.
On-premises solutions remain important for organizations with strict security and data control requirements, such as those in government, defense, or finance. These companies often need complete ownership of their data, which on-premises software offers, reducing the risk of external breaches. Although it requires significant upfront investment and maintenance, on-premises software provides a high level of customization and security. It’s especially useful for businesses dealing with sensitive information and industries where compliance with local data protection laws is critical.
Large enterprises, particularly those operating in regulated industries like banking and healthcare, are the major adopters of employee background check software. These organizations deal with large volumes of hires, making streamlined background checks essential for compliance and operational efficiency. The ability to integrate background check systems with existing HR tools, such as applicant tracking systems, allows large companies to manage their recruitment processes more effectively. The need for comprehensive and accurate background checks is crucial for mitigating risk and ensuring legal compliance.
The rise in remote working has increased the demand for background check software that allows companies to vet employees regardless of their location. Digital background checks, particularly cloud-based ones, make it easier for organizations to screen remote workers efficiently. This trend is expected to continue as more companies adopt hybrid or fully remote work models, where geographical barriers no longer restrict talent acquisition but require thorough and remote-friendly verification processes.
As regulatory frameworks for employment practices become more stringent globally, businesses are increasingly relying on background check software to ensure compliance. Laws like the General Data Protection Regulation (GDPR) in Europe and the Fair Credit Reporting Act (FCRA) in the U.S. have made it mandatory for companies to conduct background checks within specific legal parameters. This has led to increased demand for software solutions that can automate these processes while maintaining compliance with regional and international laws.
A major trend in the employee background check software market is the integration of these solutions with human resources management systems (HRMS). Integrating background checks with HR software streamlines the hiring process by consolidating background checks, employee records, and onboarding into one system. This improves operational efficiency for businesses, particularly large enterprises that handle significant recruitment volumes. Integration with HRMS allows for real-time updates, making background screening an even more integral part of the hiring process.
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EMPLOYEE BACKGROUND CHECK SOFTWARE MARKET SHARE
North America dominates the market due to stringent employment regulations and widespread adoption across industries. Europe is another key region, driven by GDPR compliance and demand in finance and healthcare. The Asia-Pacific region is experiencing rapid growth due to increasing awareness of the importance of background checks, especially in countries like China and India, where digital hiring platforms are becoming more popular. The market is also expanding in the Middle East and Africa as businesses prioritize secure hiring practices.
Key Companies:
HireRightGoodHireCheckrSterlingHireologyINTELIFIGood EggPeopleG2VitayCertnGlobal HR ResearchVeritable ScreeningXrefZincPaycomADPVICTIGIntelliCorp (Cisive)SpringVerifyAsurintUniversalAssureHireVerified FirstHireSafePurchase Chapters: https://reports.valuates.com/request/chaptercost/QYRE-Auto-2A10579/Global_Employee_Background_Check_Software
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