Deepfakes a systemic threat to global political and financial stability, identifAI report reveals

New analysis of 10,000 incidents reveals deepfakes are now central to political manipulation, large-scale fraud, and algorithmic deception

LONDON, MILAN, 13th April 2026 – identifAI, a leader in deepfake detection technology, today announced the release of its first ‘Deepfake Intelligence Report’. Based on analysis of more than 10,000 global deepfake incidents between January 2020 and March 2026, the report reveals that deepfakes have evolved from a technological novelty to a core attack vector for threat actors.

The findings present a stark warning that synthetic media and manipulation has crossed a new threshold in global threat dynamics, with deepfakes driving political destabilization, systemic financial exploitation and cognitive manipulation amplified by social media algorithms.

The geopolitical footprint

Political manipulation represents nearly a quarter (24.6%) of the threat landscape, with incidents primarily impacting major democratic and economic hubs as threat actors operate from jurisdictions with more permissive cybercrime environments.

The report also finds that synthetic media has been weaponized to manipulate geopolitical narratives by targeting high-profile political targets, including a senior Israeli political leader (5.4%), a prominent US political figure (3.1%), and a number of Middle Eastern state entities (1.4%).  

Most targeted countries:

• The United States is the most targeted country, accounting for 46.9% of global incidents.
• The United Kingdom is second at 8.2%, with India (7.2%) and Israel (6.6%) following.
• Other notable regions include Iran (2.9%), South Korea (2.1%), and Australia (1.8%).

Evolving deepfake attack vectors

The technical sophistication of synthetic media operations has matured, moving from the capability to fool humans, to algorithmic manipulation designed to surpass advanced verification thresholds.

The most common methods of deepfake attacks are video (45.6%), mixed media (25.2%), images (17.4%), and voice cloning (10.5%). The report also notes a shift towards fraud-related deepfake incidents, which now constitute 20.1% of the total, and warns that the sophistication of multi-modal techniques, including biometric bypass, will increase over the next 12 months.

Social media platform exploitation

Social media serves as the main distribution engine for deepfakes. The following platforms were found to be the most affected:

• X accounts for 51.2% of incident propagation, driven by algorithmic amplification that prioritizes engagement over source authentication.
• TikTok is the second most utilized platform at 21.1%.
• YouTube and Facebook account for 10.0% and 8.2% of distribution, respectively, followed by Instagram (5.0%), Telegram (1.4%), and WhatsApp (1.1%).

Dr Marco Ramilli, CEO and Co-Founder at identifAI, said: "Our findings confirm that deepfakes and other synthetic media are now commoditized tools for large-scale extortion and disinformation. As threat actors move toward real-time generation and automated deployment, the window for human intervention is collapsing. Institutional resilience no longer depends on reactive moderation, but on integrating mathematically rigorous, multi-modal detection at the architectural level to uphold truth and defend the integrity of our digital world and institutions."

The report concludes with key recommendations for organizations, regulators, and identity verification providers, such as advancing digital provenance standards and evolving liability frameworks that would compel social media platforms to take responsibility for the algorithmic amplification of synthetic media. It also recommends technology controls, such as protocol-level camera injection defences and multi-modal biometric checks to correlate vocal and facial analysis.

To read the full report, visit our Deepfake and AI-Generated Content Observatory Page

About identifAI

identifAI is an Italian startup that has developed an innovative AI platform capable of detecting whether images or videos were created by humans or generative AI. Its proactive solutions promote digital integrity, protect against misinformation, and empower users to distinguish between human and AI-generated content. In July 2025, identifAI raised €5 million in a funding round led by United Ventures, reflecting a continued commitment to developing anti-deepfake technologies and promoting a secure information ecosystem.

Research Methodology

The intelligence and statistical models presented in the report are the result of a rigorous incident harvesting and classification pipeline. The methodology was designed to capture a comprehensive global observation of deepfake incidents, operating over the continuous reporting period from January 2020 through March 2026. To maintain absolute objectivity and operational transparency, the analysis strictly excludes unverified proprietary telemetry, relying entirely on the aggregation of public indicators.

An incident is classified and ingested into identifAI’s observation framework solely if it represents a case of a deepfake being deployed in the real world, substantiated by English-based media reporting globally or through explicit mentions of synthetic media operations on social media platforms. Once identified, the unstructured data is processed through an advanced LLM-powered classification architecture. This analytical layer performs entity extraction, modality identification, and thematic categorization, effectively curating the raw intelligence into a structured attack taxonomy.

Communication

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For more information: www.identifai.net