Risks & Benefits of LLMs & GenAI for Platform Integrity, Healthcare Diagnostics, Financial Trust and Compliance, Cybersecurity, Privacy & AI Safety: A Comprehensive Survey, Roadmap & Implementation Blueprint

LLM-assisted threats are accelerating rapidly: Malware assisted by LLMs is projected to increase from 2% in 2021 to 50% by 2025, while AI-generated fake reviews grew nearly tenfold (from 1.2% to 12.21% between 2021-2023), and deepfake attacks are expected to rise over 900% in 2025, demonstrating the urgent need for defensive measures.

LLMs are a double-edged sword for platform safety: While these systems enable significant benefits—such as reducing fraud losses by up to 21% and accelerating financial onboarding by 40-60% at institutions like JPMorgan Chase and Stripe—they simultaneously serve as tools for creating malware, scams, and misinformation, requiring careful governance of both deployment and access.

Healthcare applications require strong safeguards before widespread adoption: The paper identifies significant concerns about LLM accuracy, bias, and safety in clinical diagnostics, indicating that responsible implementation demands robust governance frameworks rather than rapid deployment without oversight.

Synthetic fraud and scams are emerging financial threats: LLM-driven threats like synthetic identity fraud and AI-generated scams are accelerating in the financial sector, representing a new category of risk that traditional compliance systems may not adequately address.

Platform defenses are evolving but remain reactive: Major platforms (Google Play, Apple App Store, GitHub, TikTok, Facebook, Amazon) are deploying LLM-based defenses, but the paper's findings suggest these protective measures are playing catch-up to rapidly evolving threats rather than staying ahead of them.