Polygraf AI Whitepaper on Countering AI & Deepfake Smishing and Vishing Threats in Response to FBI Alert I-051525-PSA

On May 15, 2025, the FBI issued Public Service Announcement I-051525-PSA warning of a coordinated campaign in which cybercriminals impersonate high-ranking U.S. officials using AI-generated deepfake voice calls and engineered smishing texts. The attackers build rapport before directing victims to malicious links or requesting sensitive information. The alert highlighted that AI-generated content has advanced to the point where it is often difficult for even trained personnel to identify.

In direct response, Polygraf AI released a comprehensive whitepaper detailing how its locally deployed AI solutions address this exact threat. Founded in 2023 in Austin, Texas, by Yagub Rahimov and Vignesh Karumbaya, Polygraf AI specializes in small language model solutions that detect AI threats while protecting data locally. The whitepaper focuses on two core modules — VeXon for real-time voice authentication and Groundtruth for content authenticity — and shows how they mitigate every phase of the smishing/vishing attack cycle with high accuracy, explainability, and zero data leakage outside the organization.

The report arrives at a critical moment. Organizations in critical infrastructure, government, and enterprise environments are seeking practical tools that operate entirely on-premises and deliver clear, auditable results. Polygraf’s approach offers a technical and operational blueprint for regaining the advantage in the escalating AI threat landscape.

Key Terms

Smishing
SMS-based phishing attacks that use spoofed numbers and AI-generated text to impersonate trusted contacts or officials.

Vishing
Voice-based phishing that increasingly relies on AI deepfake voice cloning to mimic real individuals with high realism.

VeXon
Polygraf’s real-time voice echo analysis module that compares incoming audio against known voice patterns to detect synthetic or manipulated speech within seconds.

Groundtruth
Polygraf’s core authenticity analysis engine that verifies text, audio, and multimedia content for signs of AI generation or manipulation, delivering explainable trust scores and highlighted evidence.

Locally Deployed AI
AI models that run entirely on-premises or in customer-controlled environments, ensuring sensitive data never leaves the organization.

Explainable AI Detection
Detection systems that provide clear contextual evidence and confidence scores for every decision.

Key Findings

• The FBI’s May 15, 2025 alert describes a coordinated campaign using AI deepfake voice calls and engineered smishing texts targeting senior officials and their contacts.

• Attackers build rapport before pivoting to malicious links or credential theft, exploiting trust in familiar identities.

• Polygraf’s VeXon module detects deepfake voice impersonations in 5–10 seconds with high accuracy.

• Groundtruth analyzes text and multimedia in real time, identifying AI-generated language, contextual anomalies, and malicious payloads.

• Both modules operate entirely locally, ensuring zero data leakage outside the organization’s premises.

• Polygraf provides fully explainable outputs with confidence scores and highlighted evidence for every detection.

• The solution addresses every phase of the smishing/vishing attack cycle, from first contact to post-incident adaptive learning.

• Independent testing shows Polygraf achieving world-leading accuracy with minimal false positives compared to legacy tools.

What the Report Covers

Part 1 — Background: Escalating AI Impersonation Threats
The report opens with the FBI alert’s details on how cybercriminals are using AI deepfake voice cloning and engineered text messages to impersonate high-ranking officials. It explains the full social engineering sequence — initial contact, rapport building, and the pivot to malicious action — and why these attacks are significantly more convincing than traditional spam or robocalls.

Part 2 — Federal Guidance and the Need for Polygraph for Content
This section reviews FBI and CISA recommendations while highlighting the growing sophistication of AI-generated content. It emphasizes the need for automated, real-time detection that operates faster than human review and provides explainable results for analysts.

Part 3 — Polygraf AI: Locally Deployed, Explainable, Real-Time AI Groundtruth
The report introduces Polygraf’s core technology and its two key modules. VeXon performs real-time voice authentication using advanced biometrics and spectral analysis. Groundtruth verifies text and multimedia content for AI generation or manipulation. Both modules run locally, deliver explainable outputs, and have demonstrated industry-leading accuracy with low false positives in independent testing.

Part 4 — Mitigating Each Phase of the Attack Cycle
Polygraf’s solution is mapped directly against the full attack lifecycle. It shows how the platform detects threats at first contact, contains them, disrupts social engineering sequences, and supports post-incident forensic analysis and continuous adaptive learning.

Part 5 — Unmatched Speed, Precision and Explainability vs. Traditional Methods
The final section compares Polygraf’s performance against legacy defenses across speed, accuracy, explainability, adaptability, and integration. It positions the platform as a force multiplier for existing security operations in high-stakes environments.