RightsTech founder emphasizes tamper-resistant evidence to combat rising deepfake fraud
RightsTech founder Shigemasa Sasaki discusses the technical requirements for preserving digital evidence for legal admissibility, emphasizing the need for tamper-resistant storage and cryptographic hashing. The piece frames these capabilities as critical infrastructure for streaming platforms to address the rise of synthetic media and deepfake fraud.
Key Takeaways
- Deepfake detections accounted for approximately 7% of global fraud attempts by late 2024, according to Sumsub research.
- Federal Rules of Evidence 902(13) and 902(14) allow for electronic record self-authentication if supported by matching cryptographic hash values.
- Tamper-resistant storage and cryptographic hashing at the moment of capture are required to prove a file's integrity in a courtroom setting.
- RightsTech developed beME to integrate continuous monitoring with procedurally sound legal documentation and referral pathways.
Why It Matters
Detection-only trust and safety tools leave platform operators vulnerable to mounting litigation costs and evidentiary failures. By shifting toward 'preservation-by-design,' streaming services can transform ephemeral moderation flags into court-admissible proof, addressing the high hurdle of digital authentication. This move bridges the gap between identifying synthetic media and enforcing terms of service or seeking legal recourse. Insurers and legal departments will likely pressure platforms to adopt more sophisticated provenance standards as deepfake-enabled business losses grow. Watch for more platforms to adopt decentralized or blockchain-anchored ledger systems for immutable content tagging.
Additional Context
The push for tamper-resistant evidence follows a surge in sophisticated AI-enabled fraud across global digital economies. Per Sumsub's 2024 Identity Fraud Report, deepfake-related incidents in the Asia-Pacific region rose by 1,530%, while North American incidents climbed 1,740% over two years. This acceleration has forced a shift from traditional human vigilance to automated forensic workflows. Beyond Japan, similar initiatives are emerging; for instance, researchers at the Department of Automation and Applied Informatics at BME developed 'Deepfake Guard' in August 2025 to detect live video forgery in real-time during bank onboarding and insurance transactions.
Federal courts are simultaneously adjusting their doctrinal frameworks to manage the influx of synthetic media. According to FindLaw and attorneys' media reports from July 2026, the Judicial Conference of the United States has been considering a new Federal Rule of Evidence 901(c) specifically to address fabricated electronic evidence. This rule would potentially establish a two-step burden-shifting process, requiring a proponent to prove an item is 'more likely than not' authentic if a standard challenge is met. Recent case law, such as the September 2025 dismissal of Mendones v. Cushman & Wakefield, underscores this shift; a California judge sanctioned a plaintiff after catching AI-generated video testimony that lacked consistent metadata and technical provenance.
In the cybersecurity sector, the focus is transitioning from simple detection to integrated provenance certificates. Per reports from OneStream.live in April 2025 and ProofSnap in March 2026, new security architectures are utilizing blockchain-based content verification and digital signatures to anchor streaming data. These systems generate provenance certificates in seconds, documenting device integrity and NTP time verification to meet proposed FRE 707 and EU AI Act standards. Such measures are becoming essential as deepfake-related losses tripled to $1.1 billion by early 2026, with social media platforms like Facebook and WhatsApp accounting for 93% of scam losses originating on social networks, per Surfshark data.
Read full article at venturebeat.com
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