🔐 AI and Cybersecurity: Why Dual Verification Is No Longer Optional
Hello AI and Cybersecurity enthusiasts,
At VirtexAI, we believe that an AI product isn't truly intelligent unless it's also incredibly secure. We often get asked if our products are only high-quality from an AI standpoint. Our answer is a definitive no. Every AI model we build undergoes rigorous penetration testing and is meticulously hardened against vulnerabilities, ensuring they are as resilient as they are innovative.
Today, we're diving into a case that proves just how critical this is: the $25 million deepfake scam. This real-world event highlights why security can no longer just be about software—it must be a multi-layered defense that includes robust protocols and, most importantly, dual verification. We're excited to share these insights with our community, so let's get into it.
Let's start by confronting the rising threat landscape as Adam Khan expertly outlined in his Barracuda blog post..
I recently read #AdamKhan’s Barracuda blog post “Confronting the Dark Side of GenAI”. (👉 Read here) The article highlights how malicious generative AI tools (Evil-GPT, PoisonGPT, DarkBard, etc.) are rapidly evolving and why organizations must take a multi-layered approach to defense. Among the recommendations, one point stood out to me: 👉 For critical actions such as urgent money transfers, organizations should enforce dual verification through a secondary channel.
Linking to the $25M Deepfake Scam This reminded me of CNN’s report on the $25 million deepfake scam in Hong Kong. (👉 CNN Article) A finance employee was tricked by highly convincing deepfake video and audio impersonations of senior executives. Initially suspicious, the employee lowered their guard once they saw and heard what appeared to be genuine leaders on a video call. The result: $25.6 million transferred to criminals. This case shows that security is no longer just about spotting typos in emails or checking links. Video and voice interactions are also at risk—and must be covered by strong protocols.
The risk isn’t only from external hackers—misused, poisoned, or poorly designed LLMs and algorithms can create vulnerabilities from the inside.
Traditional “human firewall” training is no longer enough.
Employees are not yet prepared for deepfake video, audio, and multi-modal social engineering attacks.
The solution is clear: multi-channel verification protocols, AI-aware security training, and inteMy Perspective With 17+ years in financial software engineering and recent years dedicated to AI/ML and cybersecurity, I strongly believe:
Cybersecurity teams must be embedded within AI/ML development workflows.
Final Thought Generative AI attacks are becoming not only more sophisticated but also more persuasive.
Security teams must use AI not just for monitoring, but for internal validation.
Dual verification and out-of-band confirmation should become part of corporate culture.
AI security must be built into the core of development and governance.
Thank you #AdamKhan for raising this important conversation.
#AI #Cybersecurity #LLM #GenerativeAI #Deepfake #ModelSecurity #Infosec #DevSecOps #ThreatIntelligence #SecurityByDesign
