The popularity of face recognition technology across the globe has made things easier for businesses. However, human rights activists have raised a lot of privacy concerns that companies do not work with customers’ data with responsibility and care. Activists raise privacy issues around user consent, data transparency, and its collection from the public. Human rights advocates demand that companies use data with care and responsibility. Other than this, facial recognition software has multiple features that make facial detection, frictionless and time-efficient. It has liveness detection and 3D depth analysis that play a critical role in enhancing the security system. Workforce software is a tool that helps businesses manage their employee data. It can track employee hours, vacation time, and performance data. Workforce software can also help businesses create and manage employee schedules,
Facial Recognition Software: A Brief Overview
The implementation of digital identity verification has changed the way how things work nowadays. Researchers have tracked the financial growth of the identity authentication market from 13% to above. It means the organizations are making around $5 billion and this financial growth will enhance with the passage of time.
The concerning part is that cyberattacks are also increasing with the passage of time which points to the implementation of enhanced security protocols for different enterprises. According to recent reports, victims have lost around $2 trillion in the previous year. If powerful verification measures are not taken, the amount is highly likely to increase in the coming years.
The rise of technological advancement has pros and cons for the corporate world. The clients have also shared good experiences with the technology that it makes the verification process frictionless and eliminates the need to carry physical documents.
Facial Recognition Verification: Privacy Issues in Different Sectors
The use of facial recognition software is popular in law enforcement agencies. It facilitates them in the identification of suspects in CCTV footage of public. However, the use of technology at airports, public programs, and educational institutions has increased privacy concerns in the public. The facial recognition software allows users to tag the faces of their friends and family through their personal electronic devices. But human rights activists have highlighted numerous cases of personal data breaches that are highly concerning.
The Influence of Deepfakes on Cybersecurity
For global regulatory bodies, deep fakes are a bigger issue. It is because they easily cross the security layers of the system. As per recent reports, there are around 15,000 deep fake videos on the internet. Hackers got the chance to do this because they also have their hands on sophisticated technology. They also use voice phishing attacks to lure their victims.
It raises deep security concerns and motivates the clients to implement facial recognition software. The ongoing use of advanced digital solutions has made the spread of deep fakes easier than before. It means that there will be more identity theft cases, cyberattacks, and reputational damage campaigns against famous personalities. Companies can avoid these issues if they implement facial recognition software as a powerful security system.
Blockchain Technology & Facial Verification
It means that facial recognition software can assist the users in dealing with fake positives. The technology will look at the images in detail to pinpoint discrepancies in the facial signatures of the users. However, it is a long fight because the advancement in technology will enable cybercriminals to use other tricks to fool the security system.
The use of blockchain technology along with face recognition software can help in verifying videos. The combination will only work if the source of the material gets verified. Otherwise, individual customers and high enterprises are at high risk of deep fake attacks.
The Importance of Liveness Detection Feature: Facial Recognition Software
The use of the liveness detection feature counters the deep fake content efficiently and discourages the fraudster from future attempts. The technology is also effective against spoof attacks and identity theft cases across the globe. In this way, it is an efficient security protocol against digital fraud.
The use of artificial intelligence and machine learning algorithms enhances the efficiency of the technology during the customer onboarding process. The end-user only needs to show themselves before the camera and the software will guide the customer through user-friendly instructions. Thus, all of the above features (liveness detection, AI & ML algorithms) play a critical role in securing the system against bad actors. Moreover, there is no doubt that the benefits of facial recognition are immense.
In a nutshell, online face verification plays a critical role in distinguishing between spoof attacks and genuine customers. The system asks the user to show their face in front of their web camera for the sake of real-time interaction.
The advanced technology is also known as the biometric verification technology that easily authenticates the customer’s identity using their unique facial signature. The advanced micro-expression evaluation guarantees protection against cybercriminals. The facial recognition software has the backing of AI (Artificial neural networks) and sophisticated machine learning algorithms that allow it to store and process data accurately for a long time.