“Artificially generated images of people’s faces, or deepfakescan be used by malicious parties to compromise thebiometric authentication or make it inefficient.” The alarm is raised Akif KhanVP Analyst di Gartnerwhich explains how this phenomenon could lead organizations to “question the reliability of identity verification and authentication solutions, as they will not be able to understand if the face of the person being verified is a deepfake”.
Due to this vulnerability, according to a recent survey by Gartner, by 2026 30% of companies will consider their services unreliable. biometric identity verification and authentication solutions if not supported by other technologies, such asThey (acronym which stands for “Intrusion anomaly detection”).
Attacks on the rise
So far, Gartner research argues, the security of identity verification and authentication processes that use facial biometrics has been entrusted to presentation attack detection (Pad) systems, but “the current standards and testing processes to define and evaluate Pad mechanisms – explains Khan – they do not cover attacks that use deepfakes generated byartificial intelligence”.
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The data released by Gartner demonstrates how real the problem is, highlighting a 200% increase in attacks based on biometric data counterfeiting technologies in 2023 alone. To prevent this type of offensive, according to the research institute, it will be increasingly necessary to integrate traditional Pad technologies with more advanced detection systems based on image inspection.
Go beyond current standards
To be ready for new threats, and specifically to address the phenomenon of deepfakes generated by artificial intelligence, according to Gartner’s analysis, Chief information security officers and risk management managers will have to pay the utmost attention when choosing suppliers , to select those who demonstrate the ability and strategies to go beyond current standards, and who are committed to monitor, classify and quantify new types of attacks.
“Organizations – underlines the expert of cybersecurity by Gartner – should begin to define a minimum baseline of controls by partnering with vendors who have specifically invested in mitigating the latest deepfake-based threats using IAD and image inspection.”
Once the strategy has been defined, it will be essential to consider additional risk and recognition signals using, for example, device identification and behavioral analysisto increase the chances of detecting attacks on identity verification processes, selecting technologies that demonstrate authentic human presence and implementing additional measures to prevent account takeover.
Trends in the digital identity market
According to data from ResearchAndMarkets, the global digital identity market is experiencing significant growth, primarily due to the increasing digitalization of sectors such as finance, healthcare and government services. As organizations transition to online platforms, the demand for robust authentication and identification methods has increased, driving the expansion of the digital identity market, according to analysts.
Second, increasing cybersecurity concerns and the increasing frequency of identity theft and fraud have pushed companies and governments to invest heavily in advanced digital identity solutions. “With the increase in the volume of digital transactions and interactions – explains ResearchAndMarkets, the importance of reliable digital identity systems becomes fundamental to safeguard sensitive information and guarantee the integrity of online processes.
Finally, the proliferation of Internet of Things devices and the growing integration of technologies such as blockchain into digital identity solutions contribute to the growth of the market.
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