Our fight against fraud: 5 ways we’re keeping you safer

· Source: The Keyword · Field: Technology & Digital — Cybersecurity & Data Privacy, Artificial Intelligence & Machine Learning · Depth: Fundamental Awareness, short

Summary

Google is intensifying its efforts against online fraud and scams through a multi-faceted approach, leveraging AI-driven protections, user empowerment tools, and extensive collaborations. The company's AI systems block over 99.9% of spam and phishing emails daily in Gmail, filter hundreds of millions of spammy pages in Search, and in 2025, caught over 99% of policy-violating ads, removing 8.3 billion ads, including 602 million scam-related ones. Google also provides tools like Security Checkup and Circle to Search for real-time scam detection. Furthermore, it promotes education through initiatives like "Be Scam Ready" and commits $5 million to combat scams in Europe and the Middle East. Google is also a founding partner of the Global Signal Exchange, sharing threat data, and actively partners with law enforcement and industry through accords and legal actions against criminal networks.

Key takeaway

For security leaders and product managers focused on user safety, Google's comprehensive strategy highlights the necessity of integrating AI-powered defenses with user-empowering tools and robust external partnerships. You should evaluate your organization's fraud prevention framework to ensure it encompasses automated blocking, user education, and active threat intelligence sharing, mirroring Google's approach to disrupt sophisticated scam operations effectively.

Key insights

Combating online fraud requires a multi-pronged strategy combining AI, user tools, education, data sharing, and cross-sector collaboration.

Principles

Method

Google employs AI for real-time threat detection and blocking across its products, provides user-facing security tools, implements game-based educational programs, shares threat intelligence via the Global Signal Exchange, and collaborates with law enforcement and industry.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Security Engineer, Policy Maker, General Interest

Related on AIssential

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by The Keyword.