Deepfake and AI Fraud Risk Assessment

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Results

What you get

Structured Analytical Report

A detailed written report containing all verification results, a full list of sources, and clear conclusions. Every statement is traceable to its primary source—we do not present assumptions as verified facts or unconfirmed guesses as final findings.

Executive Summary with Recommendations

Each report includes a concise overview of key findings along with specific recommendations. For every case, we highlight the insights most relevant to your request, enabling decision-makers to quickly assess results without reading the entire document.

Supplementary Materials (on request)

Our analysts are prepared to provide additional documentation and evidence supporting the research findings.

Expert Consultation & Case Debrief (on request)

Our specialists are available for follow-up consultations to break down the results in detail, discuss specific cases, and answer any questions regarding risks or methodology.

How We Work

Case

AI Impersonation Resilience Testing

Background

A Ukrainian software developer specialising in financial data protection and fraud detection and processing over $1B in annual transactions, requested a security assessment of their infrastructure against deepfake threats.

What We Did

With the company’s approval, Molfar conducted a simulated cyberattack. We created a high-quality deepfake of a top executive and used it to impersonate them during video meetings with key employees to test the organisation's resilience to AI impersonation.

Key Findings

Uncovered a low level of employee awareness regarding the technical sophistication of deepfake threats.
Identified critical gaps in existing identity verification procedures during online meetings.
Provided tailored recommendations to bridge the divide between technical security and human vigilance.

Outcome

The company implemented a multi-factor authentication system and launched regular staff training sessions. This proactive approach enhanced their preparedness for future incidents and provided a documented defence against real-world AI threats.

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Case

Deepfake Fraud Vulnerability

Background

A European digital banking platform offering real-time payment infrastructure and fraud prevention services across the EU requested an assessment of their resilience against AI-driven impersonation threats. With growing reliance on video-based authorization processes, the client recognised deepfake manipulation as an underaddressed attack vector.

What We Did

With the client's full authorization, Molfar designed and executed a controlled deepfake simulation targeting internal communication and approval workflows. Analysts generated a high-fidelity audio-visual deepfake of the company's Chief Financial Officer and deployed it across staged video interactions with employees in finance, operations, and IT — specifically those with access to sensitive systems or authority to approve high-value transactions. The simulation replicated social engineering tactics used in real-world AI fraud attacks, including urgent fund transfer requests and credential authorization prompts.

Key Findings

The simulation exposed significant vulnerabilities at both the human and procedural level:

The majority of employees who interacted with the deepfake failed to detect any signs of AI manipulation, reflecting a low baseline awareness of modern deepfake capabilities.
Existing protocols contained no standardised mechanism for verifying executive identity during video calls, leaving approval workflows exposed with minimal friction.
Several employees acted on instructions delivered via the simulated deepfake, including initiating mock transfer approvals, without seeking secondary confirmation through an out-of-band channel.

Outcome

The client introduced mandatory out-of-band verification protocols for all video-based authorisation requests and deployed AI-assisted deepfake detection tooling at the network level. A company-wide training program was launched using simulation footage as a concrete training aid. The engagement gave the client both the evidence and the momentum to close a critical blind spot before it could be exploited in a live attack.

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Key benefits

Evidence You Can Act On

We provide documented findings with clear implications, utilizing AI-driven fraud risk detection to give you a solid basis for approvals, rejections, or negotiation decisions.

Independent Verification

We challenge declared information by cross-checking financials and corporate data through AI fraud detection solutions to confirm what is real and what is misrepresented.

Early Risk Detection

Our intelligence uses AI in risk management and fraud detection to identify structural, legal, and reputational risks early, before capital is deployed and while decisions are still reversible.

Negotiation & Strategic Leverage

Supported by specialized AI fraud detection services, our findings provide tangible leverage in negotiations, enabling you to adjust deal terms, request safeguards, or walk away with confidence.

Methodology

Our team integrates multi-source intelligence gathering with premium investigative platforms to reconstruct a comprehensive profile, capturing critical insights that exist well beneath the surface of a public persona.

Open Source Intelligence (OSINT)

Systematic collection and analysis of publicly available data (social media, news archives, corporate filings, and court records) enhanced by AI-driven fraud risk detection to ensure accuracy and relevance.

Corporate Registry Research

Mapping of ownership structures, directorships, and affiliated entities across multiple jurisdictions using AI fraud detection solutions to surface hidden connections and beneficial owners.

Sanctions & Watchlist Screening

Checks against global sanctions lists, PEP databases, and regulatory watchlists, utilizing AI in risk management and fraud detection to identify evasion schemes and indirect exposure.

Court & Legal Database Analysis

Review of litigation history, criminal proceedings, enforcement actions, and bankruptcy records across available jurisdictions, supported by AI fraud detection services to pinpoint legal red flags.

Proprietary Intelligence Platforms

Access to premium data sources unavailable through standard commercial tools, including leaked datasets, closed-source registries, and specialized financial databases.

Asset & Network Tracing

Following financial and corporate trails across borders to identify asset holdings, shell structures, and affiliated parties that standard due diligence would miss.