The Pre-Fraud Digital Safety Gap
- Jan 12
- 6 min read
Updated: Jan 13
Christopher Smith is an award-winning author and entrepreneur dedicated to protecting people from cybercrime. After being the target of a major cyberattack, he founded DFend, a digital safety platform, and wrote Privacy Pandemic, inspired by his real-life story.
Meet "Linda," whose experience mirrors a pattern that researchers are documenting with increasing frequency. Linda receives a call at 2:14 PM. The caller, who claims to represent the Social Security Administration, reports suspicious account activity and requests verification of her identity. The voice sounds urgent. The details are accurate. Linda provides the information requested.
What Linda doesn't know, autonomous systems had already scraped her LinkedIn profile,
cross-referenced public records, and tested thousands of variations across multiple platforms, all before the call. According to Akamai's 2025 State of the Internet report, AI-powered tools now drive the majority of credential theft and account takeover attempts, operating at speeds human defenses cannot match.[1]
Linda spends the next year disputing fraudulent accounts. Her credit score drops 200 points. According to the Identity Theft Resource Center, she's among the 25% of fraud victims who report considering self-harm after experiencing identity theft.[2]
No system warned her before she answered the call. No alert came before she confirmed her details. The fraud prevention industry will send her a letter within 90 days, notifying her that her information "may have been compromised." By then, the damage is done.
This is what I call the “Pre-Fraud Gap”: the period between when attacks begin and when protection is activated.
Alerts arrive after damage is done
Linda's experience is repeated millions of times: urgent bank texts about suspicious charges, compromised password notifications, or breach alerts, all arriving too late. By the time alerts appear, attackers have already acted.
According to Javelin Strategy & Research's 2025 Identity Fraud Study, identity fraud losses reached $27 billion in 2024, a 19% increase from 2023.[7] Account takeover fraud accounted for more than half of these losses.
The pattern is clear, current protection systems document harm after it occurs. What's missing is infrastructure that detects threats before attacks succeed.
AI attacks expose a critical detection gap
In late 2025, Anthropic disclosed a watershed moment in cybersecurity, a nation-state-sponsored group used commercial AI (Claude Code) to conduct an autonomous cyber espionage campaign targeting nearly 30 organizations.[3] AI performed 80-90% of the tactical work with minimal human involvement.[6]
The most significant revelation wasn't the attack itself, it was that the activity went undetected until Anthropic identified and disclosed it. This wasn't a failure of security teams.[5] It revealed a structural flaw, current detection systems weren't designed to identify autonomous agents operating at machine speed.
Tools such as Atlantis AIO enable attackers to test stolen credentials across dozens of platforms simultaneously, bypassing security measures faster than defenders can respond.[8] By the time one service flags suspicious activity, attackers have already moved to three others.
Most individuals rely on email alerts, spam filters, and instinct defenses designed for human-speed threats, not machine-speed attacks. The gap between AI-accelerated threats and human-speed defenses continues widening.
Attackers already operate the coordinated network we need
Fraudsters share data in real time, adapt tactics instantly, and launch automated attacks across every platform. Meanwhile, the companies tasked with protecting individuals operate independently, each unaware of threats that others have already detected.
Linda's bank had no way of knowing her email had been compromised 48 hours earlier. Her email provider was unaware that attackers were testing her banking credentials. Her phone carrier wasn't alerted when her device showed signs of SIM swap reconnaissance. Each system operated independently while the attack unfolded across all of them.
A 2025 study of older fraud victims found that losses stemmed primarily from coordination gaps rather than from technical vulnerabilities. When individuals lack early-warning systems that span services, attackers exploit fragmentation.[4]
The problem isn't individuals making poor security choices. It's the absence of a coordinated pre-fraud digital safety infrastructure.
What effective infrastructure would include
If attacks operate at AI speed, protection must respond at a comparable rate. More security applications will not close this gap, in part because no single company can protect the entire digital ecosystem that individuals use. What's needed is a privacy-preserving, coordinated infrastructure that works across platforms.
A colleague with experience as an NSA analyst, Navy Cyber Defense veteran, and CISO at a financial institution managing over $100 billion in assets shared a perspective typically unspoken among defenders, attackers routinely compromise individuals and systems weeks before their primary objective, positioning themselves to remain undetected at critical moments.
Closing the Pre-Fraud Gap would require:
Behavior-based early warning systems that detect unusual patterns—repeated login attempts, compromised credentials appearing in breaches, or devices exhibiting signs of compromise—before attacks succeed.
Cross-service threat intelligence sharing that enables coordination when one platform detects suspicious activity. When Linda's email shows compromise indicators, her bank should receive an alert. When her phone exhibits unusual behavior, her cloud storage should be notified.
Machine speed and response capabilities that can detect threats and provide clear guidance faster than human-operated systems allow.
Interoperable protection that works regardless of device, carrier, or service provider, ensuring consistent security across an individual's entire digital footprint.
Policy acknowledges the gap
The UN Cybercrime Treaty formally recognized that individuals are frontline victims of cross-border digital harm. It called for coordinated protections, standardized definitions of cybercrime, and global cooperation.
This represents significant progress. However, AI-driven attacks evolve within seconds, whereas policy development takes years. The gap between technological threats and coordinated responses continues to expand.
The challenge for 2026
The central challenge isn't predicting new attack methods, it's building infrastructure that protects individuals before attacks succeed, when intervention matters most.
Current systems excel at documenting what happened. What's needed is infrastructure designed to detect and respond to threats before damage occurs. This requires coordination that transcends competitive boundaries, much as physical safety infrastructure evolved into a public good.
The technology exists. Cross-platform threat intelligence sharing is feasible. Machine, speed detection, and response systems operate successfully in enterprise environments. The coordination layer required to extend these capabilities to individuals is achievable.
What's missing is the infrastructure model that enables honest, time information sharing while preserving privacy and competitive dynamics.
The path forward
Linda's experience, and millions like hers, reveal a structural gap in how digital safety operates today. Remediation activates after damage occurs, not before. Coordination happens among attackers but not among defenders.
The Pre-Fraud Gap exists because protection infrastructure was built for an earlier threat landscape. Closing it requires building coordination capabilities that match the speed and scope of modern attacks.
This isn't about perfect security. It's about shifting from exclusively reactive responses to systems that can detect and respond before harm occurs. It's about building a proactive coordination layer that enables the bank, the email provider, and the phone carrier to share threat intelligence in real time.
Companies that recognize individual protection as infrastructure, not just another app, will help
shape how digital safety evolves over the next decade. Those who build coordination capabilities will establish new standards for what protection means.
The Pre-Fraud Gap is a coordination challenge that benefits from collective action. The question for 2026 is which leaders will begin building the infrastructure individuals increasingly need.
Read more from Christopher A. Smith
Christopher A. Smith, Author & Digital Safety Advocate
Christopher Smith is the award-winning author of Privacy Pandemic and the founder of DFend, a digital safety platform built to protect people from cybercrime. After being the target of a major cyberattack, he transformed his story of loss into one of purpose, turning a personal crisis into a global mission. His experience inspired him to develop technology that helps individuals safeguard their identity and privacy in the age of AI. Through his work and writing, Chris advocates for greater awareness, protection, and resilience online. He believes the future of digital safety is personal, because the threat already is.
References:
[7] Javelin Strategy & Research: "2025 Identity Fraud Study: Breaking Barriers to Innovation" (2025).
[8] Security Boulevard: "Hackers Use Atlantis AIO Tool To Automate Account Takeover Attacks" (2025).
