It’s not a surprise that fraud is increasing at an alarming rate and is here to stay, with eCommerce, the payments sector and video gaming platforms taking the worst hit.
As technology evolves, giving rise to an exploding ‘AI-driven fraud’, it has provided a stream of new forms of fraud and cybersecurity threats. Attackers leverage AI and scale up automation to enhance the sophistication and customization of their attacks, turning them into extremely effective and tougher-to-detect assaults.
So, let’s analyze the upcoming threats of AI-driven Fraud and what are some of the prospective counter measures.
Threats from AI-driven fraud
-Social engineering: Personalized and persistent phishing and pretexting, utilizing psychological or emotional factors to manipulate victims.
-Deepfake deception: Realistic fake videos and recordings through advanced AI, perfectly refined to succeed authorizing transactions through ‘Impersonation’ fraud.
-Biometric spoofing: Hacking biometric authentication systems with consequent sophisticated biometric spoofing.
-Ransomware attacks: Customized attacks on a broader range of organizations with low security cyber culture and incident response readiness.
-Supply Chain: Vulnerability exploitations of third-party suppliers through AI-generated tools, enabling consequent penetration to connected large organizations.
-Quantum computing: Encryption algorithms exploited by hackers’ powerful computers, leading to potential data breaches and fraud.
-5G threats: Abuse of connected devices for data interception, caused by irresponsible deployments of 5G networks.
-IoT devices: Vulnerabilities of IoT devices exploited due to their weak security, leading to personal data theft and financial fraud.
-Cybersecurity threats: Manipulation of AI models and algorithms utilized by cybersecurity networks, especially when launched and integrated improperly, leading to model poisoning,
-Regulatory issues: Absence of proper regulations to address the challenges and risks associated with AI technologies.
-Crypto Assets: Exploitation of vulnerabilities in cryptocurrency exchanges providing rise to crypto-related scams, given the Crypto decentralized and unregulated space.
Harnessing AI-driven fraud
-Regulation and legislation: Implement legal frameworks to govern the use of AI at data pools, systems, and services.
-Ethical rules: Ensure transparency of AI systems, that are fair, unbiased and with established accountability.
-AI Assessments: Conduct regular audits to ensure absence of vulnerabilities and perform continuous impact assessments, prior to AI deployments.
-Standardization: Promote global standards for AI consistency and harmonization with oversight powers by regulatory bodies.
-Continuous monitoring: Monitor AI systems in real time, to quickly identify and respond to potential abuses.
-Collaboration: Share best practices to limit exposure to fraud, abuse, and errors.
-Whistleblowing: Create an infrastructure for anonymous AI abuse reporting, to escalate concerns without retaliation.
As for leveraging AI for fraud detection and prevention, this is of course a strong ally to anti-fraud solution providers. The analysis of huge databases with known fraudulent activities provides paths for the improvement of algorithms towards detecting fraudulent behavior patterns.
Afterall, the overall benefits of AI, in automation and efficiency, improved decision making, enhanced user experience, on safety and security, cannot be overlooked. Therefore, the development and deployment of AI technologies are crucial to maximize the positive impact of AI on society, by establishing a proper balance between harnessing the benefits of AI and addressing its challenges.
While recognizing that the combination of human awareness and the power of artificial intelligence organizations can create a more resilient defense against the ever-evolving landscape of cyber threats and fraud, Infocreditgroup facilitates customized seminars that aim to set the proper security culture to any individual and company employees.