Latest news with #Fingerprint
Forbes
4 days ago
- Business
- Forbes
How To Balance Privacy And Protection In The Age Of AI
Dan Pinto is CEO and cofounder of Fingerprint. With over a decade in tech, he is an entrepreneur behind many startups. It seems like we see a new headline about data breaches every day, with one revealing that 16 billion credentials have been leaked over the years. In other words, data breaches are now a fact of life. As a result, consumers are increasingly more privacy-aware, and companies are looking for or have already implemented solutions to help mitigate the damage of past breaches and/or prevent future ones to ensure business continuity. However, incidents like the breach reported by LexisNexis Risk Solutions also reveal a troubling irony: The very solutions designed to help prevent fraud and stop data breaches are becoming high-value targets themselves. But when you think about it, it's not that big of a surprise. Many fraud prevention companies require collecting and storing vast amounts of customer and company data to work effectively. The result? A massive treasure trove of valuable information that's highly tempting to bad actors. The impact of this latest trend is profound. When the companies that suffer data breaches are also the ones tasked with safeguarding financial systems, identities and other valuable information, it doesn't just impact customers—it impacts trust across the entire digital ecosystem. The Escalating Cost Of Storing More Data Traditional fraud prevention approaches operate under the assumption that more data equals better protection. Fraud prevention companies are no different, and many also work with multiple third-party vendors (who also collect and store data on their own systems) to strengthen their security. Yet, each third-party relationship introduces new potential points of failure, and too many organizations compound this risk by storing data in test environments or allowing interconnected platforms access without adequate security checks. The Identity Theft Resource Center reported 3,158 publicly disclosed data breaches in 2024. While supply chain attacks targeting third-party vendors accounted for a smaller portion of incidents, they had an outsized impact, affecting hundreds of organizations and millions of individuals. The report also highlighted a rise in phishing and business email compromise schemes, with generative AI contributing to more convincing attack tactics. Because fraudsters are constantly adapting their methods to bypass fraud prevention measures, organizations need to continuously evolve their fraud prevention strategies to effectively safeguard both customer and company data and privacy. The Modern Approach To Fraud Prevention Today, no single approach to fraud prevention is effective. As fraudsters become more sophisticated and leverage AI tools, bots and agents, organizations must prioritize flexible and privacy-conscious approaches to deterring fraud rather than assuming extensive data collection and storage is the only path to effective fraud prevention. Instead, they should create adaptive defenses to suit their specific needs, using a multitude of technologies that aim to detect and mitigate threats while respecting user privacy. These can include implementing solutions that analyze user behaviors and process device and network signals, in addition to continuously training machine learning models on new data to improve risk-scoring methods. Essential Data Security Practices As the internet as a whole evolves toward a more privacy-conscious world, organizations must implement additional comprehensive modern measures to protect their systems. Here are a few non-negotiables: Social engineering attacks continue to be a highly effective fraud tactic, and they're now bolstered by generative AI. It's essential to provide continuous training to staff so they can better spot deepfakes and identify phishing attempts and other manipulation techniques. Access to company systems should require additional verification on top of the username and password, especially where sensitive data is stored. Assume any single security layer can be compromised. Implementing multiple security layers, such as device fingerprinting, multifactor authentication and other methods of verification, can help thwart attacks. Live customer data should never be stored in development environments. Data governance policies should provide clear guidelines on how to handle sensitive data, including the measures that should be taken to protect data from unauthorized access. What's Next: Course-Correcting For Privacy-Conscious Fraud Prevention Today's top leaders are recognizing that privacy-conscious approaches offer advantages beyond fraud reduction. Customers value organizations that demonstrate a commitment to protecting their most valuable and personal information, in line with the industry moving towards stricter data protection regulations. High-profile breaches offer sobering reminders that even the most sophisticated companies are not immune. The recent wave of security incidents across fraud prevention providers should push us to ask tougher questions: • What assumptions are we still making around fraud prevention that no longer apply? • Can we build fraud detection that doesn't depend on personally identifiable information (PII)? • What would a future look like where privacy is the default, not the exception? Companies that are exploring a diverse set of privacy-forward fraud prevention tools and strategies will be better positioned to minimize risk and maintain customer trust. The Bottom Line Fraud prevention is at a turning point. The legacy approach—collecting more data and building more walls—has failed repeatedly in a landscape defined by automated threats, social engineering and AI. The organizations likely to thrive are those willing to challenge legacy assumptions about what is required to prevent fraud, especially as AI continues to evolve and become ever cheaper and easier to use. More companies are investing in behavioral analytics, device intelligence and real-time monitoring systems that can identify bad actors and threats without impacting user experience, compromising user data or exposing themselves to data liabilities. This shift is a strategic one. It requires executive teams and leaders to audit data flows, re-evaluate vendor dependencies and implement frameworks that treat data minimization as a critical piece of business continuity. The question isn't whether this transformation will happen; it's whether your organization will lead it or simply react to it. The companies making this transition can better define the next decade of fraud prevention. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Finextra
15-07-2025
- Business
- Finextra
Fingerprint launches features to fight fraud in agentic AI era
Fingerprint, a leader in device intelligence for fraud prevention, account security, and returning user experience optimization, today announced new Smart Signals and platform enhancements that detect malicious bots and AI agents, distinguishing them from legitimate automated traffic. 0 This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author. As agentic commerce experiences explosive growth and autonomous AI agents become increasingly sophisticated, enterprises need advanced tools to protect against evolving fraud schemes without delaying innovation or turning away legitimate transactions. Bots currently comprise over half of all internet traffic, with 30% classified as malicious, and Gartner predicts fully autonomous AI agents by 2036. This creates a critical challenge for businesses to differentiate between beneficial automation and malicious activity. Fingerprint's new Smart Signals address this challenge by providing real-time risk indicators based on a device's behavior, environment and configuration to enable enterprises to make better-informed decisions. "Bots and AI agents represent both the biggest current risk and the fastest-evolving threat landscape we've seen," said Dan Pinto, CEO and co-founderof Fingerprint. "As agentic AI technology advances rapidly and becomes more cost-effective, malicious actors are increasingly leveraging these tools for sophisticated fraud. Fingerprint's new Smart Signals ensures enterprises can harness the benefits of AI while maintaining robust defenses against malicious bots and agents that threaten essential business operations." Fingerprint Smart Signals and Features for Enterprises: Bot/AI Agent Detection • • • Bot Detection Smart Signal • can detect dozens of bot detection and browser automation software tools. It performs intelligent • classification on each API request to determine whether a bot or agent is legitimate or malicious, with only verified beneficial bots and agents classified as trustworthy. • • • • Virtual Machine Detection Smart Signal • further enhances AI agent and • bot • detection by identifying virtual machines, which are commonly used in automated fraud schemes. • This capability provides an additional layer of protection against sophisticated attack vectors. • • • • Residential Proxy Detection • addresses one of the most challenging aspects of modern fraud detection. • Residential • proxies are increasingly accessible and affordable, making them attractive tools for fraudsters • looking to mask their IP addresses. Because agentic traffic can be routed through ISPs to real residential IP addresses—giving malicious agents high authenticity—the ability to detect residential proxies with confidence levels is crucial for identifying all • types of agentic-driven fraud. • • • • Request Filtering: • Fingerprint has gathered a list of known user agents used by AI companies for web scraping and model training, as well as AI assistants that help with scheduling and other repetitive tasks. The Request Filtering functionality allows customers to filter out • these legitimate AI agents and bots from fingerprinting, helping optimize billing costs without compromising detection capabilities for AI-driven fraud. • The Rise of Intelligent Automation Demands Smarter Security for Enterprises As legitimate AI agents become more common for business operations—from AI assistants that handle scheduling and repetitive tasks to agentic commerce where agents research and purchase products on users' behalf—the ability to differentiate between beneficial and malicious automation has become a critical industry requirement. With these new enhancements from Fingerprint, organizations can gain comprehensive visibility into visitor intent, enabling proactive defense against evolving attack patterns. The new Smart Signals and features are available immediately and are designed to integrate seamlessly with existing Fingerprint implementations.
Android Authority
20-05-2025
- Android Authority
Android 16 QPR1 lets you check what fingerprints you've enrolled on your Pixel phone
Rita El Khoury / Android Authority TL;DR Android 16 QPR1 Beta 1 introduces a new feature on Pixel devices allowing users to check which fingerprints they have enrolled. By tapping a new button in settings and then touching the sensor, the system will highlight the corresponding saved fingerprint. This helps users identify and manage their stored fingerprints without needing to delete and re-capture them. Google just released the first Android 16 QPR1 beta earlier today, allowing us to finally beta test Android's big redesign the company announced last week. As usual, the update includes many changes that Google didn't announce, and one such change we spotted is a feature to check which fingerprints you've enrolled on your Pixel device. After installing the Android 16 QPR1 Beta 1 release on a Pixel device, we spotted a new 'check enrolled fingerprints' button in Android's Fingerprint Unlock settings. Tapping this button launches a screen with a black background, a fingerprint icon, and text that reads, 'Touch the fingerprint sensor.' Pressing your finger against the fingerprint icon closes the page and highlights the matching fingerprint. If you've already named your fingerprints, then you probably don't need this feature. If you didn't name your fingerprints when setting up your Pixel's fingerprint scanner, though, then this feature will help you name your fingerprints without having to delete and recapture them. This could be useful for when you want to delete certain fingerprints from the system while retaining others. This is definitely one of the more minor changes in Android 16 QPR1 Beta 1, but it's a nice quality of life update nonetheless. In addition to the new 'check enrolled fingerprints' option, the Fingerprint Unlock page has also gotten a redesign to fall in line with Google's Material 3 Expressive design. Android 16 QPR1 Beta 1 also adds a nice Magic Portrait feature for customizing your lock screen wallpaper, an update to the recents screen to make the context menu more accessible, and a slider to control the size of the default lock screen clock. Got a tip? Talk to us! Email our staff at Email our staff at news@ . You can stay anonymous or get credit for the info, it's your choice.
Yahoo
12-03-2025
- Business
- Yahoo
IDEMIA Public Security Secures Its Leadership in the Market with #1 Rankings on all Fingerprint Related Benchmarks, Including ELFT, in the Latest NIST Results
IDEMIA's top position demonstrates its commitment to providing accurate, secure, and innovative solutions to enable and enhance the work of law enforcement and public safety agencies. COURBEVOIE, France, March 12, 2025 /PRNewswire/ -- IDEMIA Public Security, the leading provider of secure and trusted biometric-based solutions, once again secures its leadership in the market with #1 rankings on all fingerprint related benchmarks, including the Evaluation of Latent Fingerprint Technologies (ELFT), in the latest National Institute of Standards and Technology's (NIST) results. These industry-leading advancements enable law enforcement agencies, border security, and emergency response teams to enhance their operations with greater accuracy and speed. By achieving a #1 ranking in the Evaluation of Latent Fingerprint Technologies, IDEMIA Public Security showcases their continued outstanding leadership in NIST rankings, which represent the global benchmark and emphasize the need for transparent technology solutions among the industry. IDEMIA's technology continues to power critical safety and security applications, from forensic investigations to rapid identity verification in high-stakes scenarios. IDEMIA ranked #1 in the following categories: Evaluation of Latent Fingerprint Technologies (ELFT): Evaluations assess the accuracy of latent fingerprint identification (both fully automated or using features marked by experienced human latent fingerprint examiners) to evaluate the current state-of-the-art. Improving the accuracy of latent fingerprint identification enhances forensic investigations, enabling law enforcement to solve criminal cases more efficiently. Proprietary Fingerprint Template (PFT): Evaluations assess the accuracy of end-stage fingerprint matchers to assess the core algorithmic capability of performing one-to-one fingerprint verification. This strengthens national security by ensuring seamless one-to-one fingerprint verification, which is critical for border control and secure access management. Minutiae Interoperability Exchange (MINEX): Evaluations assess the performance of fingerprint matching software using interoperable minutiae-based fingerprint templates, measuring the effectiveness of various fingerprint verification algorithms. In real-life this ensures interoperability between different biometric systems, allowing agencies to collaborate more effectively across jurisdictions and intelligence networks. Slap Fingerprint Segmentation (SlapSeg): Evaluations assess the accuracy of algorithms used to segment slap fingerprint images into individual fingerprint images. With accurate algorithms, law enforcement and immigration authorities can be confident in their process and verification of identities at border crossings, airports, and correctional facilities, and can do it at faster speed NIST Mobile Fingerprinting Innovation Technology Challenge (mFIT): Evaluations advance mobile fingerprint capture technologies by building and demonstrating prototype applications to serve field applications. This provides law enforcement officers with critical field capability for fast field identification through the use of commercial, standard issue smartphones. "I'm extremely proud to share these latest NIST rankings where IDEMIA Public Security ranks #1 across the board on all fingerprint related benchmarks," shared Vincent Bouatou, Chief Technology Officer, IDEMIA Public Security. "At the end of the day, higher accuracy means more cases can be solved and more efficiently. At a time when protecting communities is paramount, as well as helping civil servants do their jobs efficiently and effectively, we are proud to deliver the highest level of performance and empower public safety officials and security agencies with technology that enhances investigations, border control operations, and identity verification in high-risk environments." These latest rankings follow IDEMIA Public Security's #1 ranking in fairness in Facial Recognition Technology Evaluation (FRTE) and Age Evaluation Verification (AEV) in November 2024. These achievements further underscore IDEMIA's commitment to advancing biometric technology in ways that protect civil liberties while strengthening security measures. IDEMIA's solutions continue to set new industry benchmarks in accuracy, fairness, and user experience, ensuring that security agencies worldwide have the most reliable and efficient biometric tools at their disposal. For more information on IDEMIA's public security solutions and products, click here. About IDEMIA Public Security IDEMIA Public Security, a division of IDEMIA Group is the leading provider of convenient and trusted biometric-based solutions, transforming public and private organizations across the globe. Our industry-enabled and client-specific solutions draw upon decades of expertise in biometrics to revolutionize the fields of public security and identity, travel and transport, and access control. Built on privacy and trust, our market-leading iris, fingerprint and facial recognition solutions top independent benchmarking for accuracy, fairness and scalability. These exacting standards enable our clients to build safer, fairer societies where people can live, interact, and move about freely. Our best-in-class solutions also make us the partner of choice for leading integrators, technology providers, OEMs, and specialized partners. Learn more here. Media contact:Genevieve de VeraIDEMIA Public Security(978) View original content to download multimedia: SOURCE IDEMIA Sign in to access your portfolio
