AI & Deepfakes 

AI is transforming the way businesses operate, but it is also changing the way cybercriminals attack. One of the fastest-growing risks organizations now face is deepfake-enabled fraud. Deepfakes use AI to replicate a person's voice, likeness, or communication style with remarkable accuracy by training AI models with publicly available content such as webinars, social media videos, interviews, or conference appearances that feature the intended target of impersonation. Through this, attackers can create convincing impersonations of executives or trusted employees. 

This is not fiction; it is very real and happening now. When cyber-attack tactics make your own eyes and ears unreliable, how can businesses recognize and stop an attempt in its tracks? Policy, procedure, and regular awareness trainings.

Where Traditional Verification Falls Short

For years, businesses have trained employees to verify suspicious requests by calling the individual directly, but when videos can be cloned and used maliciously, sight and sound are no longer the most reliable form of verification. Afterall, why would you need to confirm over phone or video call when they're currently on a call with you?

Organizations worldwide have already suffered substantial losses due to AI-powered impersonation schemes. Beyond immediate monetary damage, these incidents can affect client trust and invite regulatory scrutiny. For industries where credibility is everything, even one successful attack can have long-term consequences.

The real issue isn't AI itself; at the end of the day, it is a tool that can be used for productivity or malicious purposes depending on who owns it. Vulnerabilities lie in having outdated processes that create gaps modern attackers can exploit. The only way to ensure your processes are up to date are regular audits of processes and staying up to date on the latest cybersecurity news.

Building a Defense

Protecting against deepfake threats requires stronger processes and layered security controls. Your verification procedures must evolve beyond simple confirmation methods. Financial transfers, vendor payment changes, and sensitive data requests should require structured, multi-step approval processes that do not rely on a single communication channel. 

Identity-focused security measures such as multi-factor authentication add another layer of defense. Even if an attacker successfully impersonates someone and gains access to systems, strong controls can prevent that unauthorized access, protecting your systems and data. At the same time, employee awareness training must address the realities of AI-driven social engineering so teams understand that urgency and authority can now be artificially manufactured. 

We believe innovation and security must advance together. AI will continue to influence the business landscape, and organizations that modernize their internal controls today will be better prepared for tomorrow's threats. Unfortunately, deep fakes are not a passing trend, be sure your cybersecurity strategy needs to address that.