The Gist:
According to a recent report conducted by Gartner, by 2027, AI Agents will reduce the amount of time required to execute an account takeover by 50%. Account takeover is one of the most persistent attack vectors targeting organizations today. That’s because of how easily attackers can obtain the information needed to execute them.
What companies face today is emblematic of how AI makes bad actors more dangerous than ever before. Rather than manually orchestrating every step of the process like old attacks, fraudsters are automating all the processes necessary to target and steal an organization’s finances. The result is attacks that are happening faster than ever while being increasingly more difficult to detect.
The Latest:
Since it exploded onto the scene, AI has become a favorite weapon in the arsenal of threat actors. That’s because AI takes the ‘legwork’ out of identifying a target, extracting relevant information, and staging the attack. Now, attackers can launch a far greater number of more sophisticated attacks with less manual intervention and required skill.
According to the same Gartner report, this problem will only continue to grow–Gartner estimates that 40% of social engineering attacks will target executives as well as the broader workforce by 2028. While there have been multiple examples of individuals with access to funds being targeted, attackers are not satisfied. Moving forward they will continue to target executives while expanding to the broader workforce, which means that more individuals, regardless of position within the company, will need to be ready to identify threats, especially those who have access to the company’s funds, even as their tactics become more sophisticated, efficient, and effective.
Trustmi’s Take:
To defend against increasingly sophisticated AI-driven threats that exploit human trust to steal corporate funds, organizations must integrate advanced behavioral AI into their existing technology stack. This includes integrating Behavioral AI with email systems, ERPs, and procure-to-pay applications to counter socially engineered attacks. This integration provides continuous real-time anomaly detection and full visibility over payment processes. Many large companies have successfully used behavioral AI to identify unusual transaction patterns, therefore preventing account takeovers and blocking fraudulent payments.
By combining behavioral AI security solutions with proactive measures—such as regular security audits, employee cybersecurity awareness training, multi-factor authentication, segregation of duties, dual approval requirements, and regular audits—businesses can significantly strengthen their defenses. This comprehensive approach helps organizations stay ahead of evolving threats and protect their financial integrity.
