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Defending Against AI-Powered Phishing & Deepfakes

Case Study Information

Project Overview

Vertex Capital was targeted by a sophisticated “Business Email Compromise” (BEC) attempt where attackers used AI-generated voice cloning (Deepfakes) to impersonate the CFO. While the immediate fraud was caught, the firm realized their traditional email filters and basic “once-a-year” training were obsolete against generative AI threats. Cywall was hired to transform their human firewall and technical email defenses.

Challenges & Solutions

Project Challenges:

The firm faced a new breed of "identity-less" attacks that bypassed traditional security:

Project Solutions:

Cywall implemented a Human-Centric Identity Protection layer:

Frequently asked questions

No. Because these emails often contain no malicious links or attachments—only "socially engineered" text—traditional antivirus tools are blind to them. Our solution looks at behavioral patterns instead.

We implement "Challenge-Response" protocols. If an executive receives an unusual verbal request, they are trained to ask a pre-arranged non-digital secret question that an AI would not have in its data set.

Not at all. The AI analyzes the metadata and linguistic patterns of the communication to detect fraud; it does not "read" or store the personal content of private conversations.

After 4 months of Cywall's adaptive simulations, the "Click-Through Rate" on phishing attempts dropped from 12% to less than 1.5%.

While Vertex Capital is a high-target client, AI-phishing is becoming "commoditized." Any business that handles wire transfers or sensitive client data is now a target and needs this level of defense.