One Article Review
| Source |  AlienVault Lab Blog |
|---|---|
| Identifiant | 8490698 |
| Date de publication | 2024-04-29 10:00:00 (vue: 2024-04-29 15:07:22) |
| Titre | Améliorer la sécurité financière grâce à la biométrie comportementale Enhancing Financial Security Through Behavioral Biometrics |
| Texte | The content of this post is solely the responsibility of the author. AT&T does not adopt or endorse any of the views, positions, or information provided by the author in this article. The evolution of tech necessitates stronger cybersecurity. Financial information is appealing to hackers trying to steal identities and commit fraud. These bad actors are evolving with tech to figure out ways to bypass the increasingly robust cybersecurity measures. Organizations commonly use physical biometric applications, like fingerprinting and facial recognition, when they’re conducting transactions, when people are entering buildings, and when they’re logging into sites with sensitive information. However, you need a stronger layer of security to keep your information safe. This is where behavioral biometrics comes in. Possible Financial Security Issues Consumers lose millions of dollars due to fraud every year, according to the FTC. Online shopping is the number one avenue where this money is lost, with bad investments and illegitimate businesses falling close behind. There is an increasing amount of ways that scammers can have access to your information or social engineer you into spending money. Some examples include phishing emails, password attacks, and malware. Often, hackers will also target people whom they profile as gullible. Charity scams are unfortunately rampant, including scammers pretending to be charitable organizations like the Red Cross. These crop up when disaster strikes, and they masquerade as legitimate ways to donate. Other scammers will pretend to be individuals in need, family members, or even government organizations. Instead, the money goes to illegitimate scammers. To avoid this, you should always double-check links and, more importantly, log in to a reputable site when entering any credit card or banking information. Financial institutions are surprisingly not the most targeted, but they are still rife with sensitive info that can be vulnerable to hackers if not guarded correctly. Cybersecurity in online banking is extremely important. There can be data breaches, customer phishing scams, and even offshore banking transparency issues. Enhanced security must be in place to prevent these scams, including encryption, multi-factor authentication, threat detection, and biometrics. Why Stronger Biometrics Are Necessary Physical biometrics are the most common form of biometrics employed for financial security currently. However, bad actors have learned how to bypass these physical barriers. Printed-out photos can work for face identification, and fingerprints and palm prints can be stolen and imprinted onto soft surfaces and then used for sign-ins. Evolving threats demand cybersecurity measures that are as far advanced as possible. Behavioral biometrics takes things a step further by analyzing the behavior patterns of device users. Then, these patterns can be developed over time and set to be recognized by the device. These behaviors can be digital or in-person and include factors like: Gait; Posture; Signatures; |
| Envoyé | Oui |
| Condensat | ability able about access accessible according activities actors adopt adoption advanced algorithms all allowing also always amount analyzing any appealing application applications are areas article assumption at&t atms attacks authentication author avenue avoid bad banking banks barriers behavior behavioral behaviors behind being best biological biometric biometrics breaches brick buildings business businesses but bypass cameras can card cater change charitable charity check choose citizens close cognitive comes commerce commit common commonly conducting consumers content continue continuous continuously copying correctly credit crop cross currently cursor customer cybersecurity data deals decrease deliver demand depend design detection developed device digital disaster disrupting does dollars donate double due each educate emails employed encryption endorse engage engineer enhanced enhancing entering entire entrance establishments even every everyday evolution evolving examples experience explaining external extra extremely face facial factor factors falling family far features feel figure finance financial finding fingerprint fingerprinting fingerprints forge form fraud fraudsters fraudulently ftc full fully further future gait gait; goes government gradual guarded gullible hackers happen hard have highest hindered how however identification identify identities identity illegitimate importance important importantly impossible imprinted improvement include including incorporating increasing increasingly individuals industry industry’s info information ins installing instead institution institutions integrate integrated integrating integration interaction invaded investments isn’t issues it’s journey keep keystroke layer learned legitimate level life like like: likely limiting links log logging lose lost malicious malware masquerade may mean means measures members methods millions money monitor more mortar most movement; multi must necessary necessitates need needs new not number offshore often one online onto operate organizations other out over palm password patterns patterns; people performing person phishing photos physical place positions possible post posture posture; potential pretend pretending prevent printed prints prioritizing privacy process profile provided rampant reach readers recognition recognized red reliably remain replicate reputable requires requiring responsibility retail rife robust safe scammers scams scanners scenarios seamless security sensitive sensors set shopping should showing sign signatures; simplified site sites social society soft solely some someone’s sophisticated spending sporadically steal step stolen strikes stronger surfaces surprisingly synthetic tactics takes target targeted teams tech than them then these they’re things threat threats through time tracking traditional traffic transactions transparency trying under understand unfortunately unique unlike use used user user’s users verification views vigilant visualize vocal vulnerable way ways website what when where which whom why will without work year your |
| Tags | Malware Threat |
| Stories | Deloitte |
| Notes | ★★ |
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