Threat Analysis: AI Scraping for Manipulation Makes Sports Betting Unfair- The World Cup is the Immediate Test; The LA28 Olympics are a Next Level

Approov network monitoring and analysis finds that the World Cup will be the first major proving ground for AI-driven betting fraud, combining record-breaking betting volumes and high-speed AI tools.

Anyone who’s been locked out of event tickets, the queue for the latest hot toy at the holidays, a sneaker drop or a travel deal knows that cyber fraud via bot manipulation is pervasive and blatantly unfair.

With the World Cup and the Summer Olympics, online sports betters – and online sports betting companies – can expect to see threat actors taking this fraud to an entirely new level via AI scraping. It’s going to leave them poorer, if not wiser.

Sports betting apps were built on the promise of speed, transparency, and real-time access. But the same digital infrastructure that makes modern betting convenient also creates a new problem: AI-powered scraping that harvests odds, promotions, and market movements at machine speed.

This gives threat actors, some players, and maybe third-party operators an advantage that legit users can’t hope to match. The stakes are rising dramatically.

The upcoming World Cup is the first mass-scale test of betting integrity against AI scraping fraud, and the Los Angeles 2028 Olympics present an even larger manipulation and attack scenario. Global betting volumes will surge for both events, and every event will be monetized. This race for information is no longer just a technical curiosity. The World Cup is the first major online betting test of the AI-scraping era.

It’s a live integrity and security risk for sports betting apps and anyone looking for betting fairness on the world’s biggest sporting stages.

A Two-Stage Integrity Problem: From World Cup to LA28

In regulated betting markets, fairness depends on trust, monitoring, and transparency. Legal sportsbooks protect game integrity using detection systems and information sharing to flag suspicious behavior.

That effort becomes more urgent as betting grows more automated. Last year, the International Betting Integrity Association (IBIA) reported 300 suspicious betting alerts, a 29% increase from 2024, while following 1.5 million matches across 80+ sports. Sportradar identified 1,116 suspicious matches in 2025, with AI-based analysis flagging suspicious matches 56% more often year over year.

The risk intensifies first with the World Cup, where high-pressure, globally watched matches allow irregular betting patterns to spread quickly, soon followed by the Olympics. Olympic events are short-lived, high-pressure, and globally watched, making irregular betting even harder to untangle. The International Olympic Committee has already expanded its Integrity Betting Intelligence System (IBIS) and set up joint integrity units to monitor betting in real time.

Analysis: AI Scraping is a Time-Sensitive Threat

AI scraping gives attackers a way to collect odds, line changes, bonuses, and other publicly exposed betting data at scale. That information fuels arbitrage, bonus abuse, and coordinated betting across multiple operators.

We’ve seen how AI scraping influences outcomes across many industries, and have seen early indicators of upcoming activity on the Approov Global Attestation Network.

For sportsbooks, this creates two problems that don’t get better with time:

• Market distortion: Automated actors can move faster than human bettors, particularly in live-in-play and micro-markets (such as first-scorer, goal/point totals, or player-specific props), which are expected to dominate World Cup betting.
• Perception of unfairness: If regular users believe that bots and AI systems are always one step ahead, the sense of a “level playing field” collapses.

With the World Cup rapidly approaching, operators don’t have the luxury of gradually upgrading defenses. The monitoring window for many matches is tight, meaning vulnerabilities exposed today will be exploited tomorrow.

AI is already central to integrity and risk management. Licensed sportsbooks use analytics and machine-learning models to watch billions of bets and flag unusual patterns. Systems like IBIS aggregate betting data from bookmakers worldwide to detect anomalies.

At the same time, AI can also improve manipulation. It can identify which props are easiest to exploit, which betting windows are most volatile, and which customer segments or promotions are most vulnerable to abuse.

This is an open invitation to manipulation by a new generation of AI-driven bad actors looking to fleece both bettors and betting platforms, and an escalation from “script kiddies” to organized syndicates as:

• Entry-level AI abuse tools are commoditized,

• Organized betting manipulation becomes scalable, and

• Syndicates can coordinate across regions/operators.

Well-resourced scrapers, arbitrageurs, and betting syndicates will treat the event as a high-margin, high-velocity data opportunity.

Why does it all matter? Because when users believe that humans can’t compete, systems collapse.

The Attack Surface: AI Scraping Development Between World Cup and LA28

The World Cup will act as a live-fire laboratory for bad-actor AI. Scraping techniques that prove successful during the tournament (e.g., targeting specific regional odds, exploiting high-frequency in-play markets) will be refined and further automated. This will lead to three key developments ahead of LA28:

1. Increased Sophistication: Scraping tools will move beyond simple data harvesting to incorporate AI models that predict line movement or identify promotional loopholes faster.
2. Greater Stealth: Bots will be designed to mimic human behavior more effectively, making traditional defense mechanisms like rate limiting and simple IP blocking obsolete.
3. Targeted Micro-Market Exploitation: Given the high volume of short-duration Olympic events, AI scrapers will be optimized to exploit the tight monitoring window of niche micro-markets (like "Gold-or-silver" or "margin-of-victory") where large-volume bets can distort pricing quickly.

The asymmetry that is especially dangerous today will be exponentially greater by the time LA28 arrives, and will then target other betting events, ticketing rushes, sneaker drops, holiday shopping, etc.

Preventive Remediation: Pacing the Response Through Immediate Actions for World Cup, and Strategic Hardening for LA28

With the World Cup approaching, sportsbooks must treat scraping and bad-actor AI as urgent security priorities. This requires a time-bound defense strategy, with two distinct phases:

Phase 1 Remediation: Immediate Hardening (Before World Cup)

These steps focus on quick wins and essential defenses to mitigate immediate scraping risks:

• Upgrade bot detection now: Deploy adaptive rate limiting, device and browser fingerprinting, and session-risk scoring to detect coordinated scraping and betting-automation patterns.
• Lock down data access: Move critical odds, promotional feeds, and line-movement data behind authenticated APIs instead of exposing them broadly on public pages.
• Integrate with global integrity systems: Join IBIS and other cross-operator data sharing to link suspicious activity across platforms before the event begins.
• Monitor major event risk: Introduce real-time dashboards for World Cup-related markets, flagging unusual betting correlations, synchronized line movement, and high-frequency account behavior.

Phase 2 Remediation: Strategic Zero Trust Implementation (Before LA28)

The World Cup will reveal remaining vulnerabilities, which must be addressed by adopting a full Zero Trust system to prepare for the increased complexity of the Olympics:

• Embrace Zero Trust Architecture: Implement strict identity and device verification, secret-free API design, and continuous monitoring so that every request is treated as untrusted until proven otherwise.
• Use mobile app attestation and device-posture checks to confirm that the app is genuine, not tampered, and not running on a rooted or emulated environment.
• Enforce per-request authentication, authorization, and context-aware checks for every API call.
• Adopt a zero-secret architecture and consider signed chains of authority for bets and odds to ensure data flows are verifiable.
• Monitor Olympic-specific risk: Introduce real-time dashboards for Olympic-related markets, flagging high-frequency micro-market activity.
• Govern AI personalization thoughtfully: Ensure bonus offers and betting prompts aren’t optimized purely for engagement, and add safeguards for users who show signs of chasing losses or rapid escalation.

By making it harder for bots to impersonate real users and by ensuring only legitimate, verified actors can access sensitive data, operators shrink the gap between AI-powered scrapers and ordinary bettors.

The Urgency of the World Cup and LA28

The World Cup will be the first major proving ground, combining record-breaking betting volumes and high-speed AI tools. If operators fail to treat scraping and AI-driven manipulation as security-level threats now, the event risks becoming a showcase of unfairness.

The LA 2028 Olympics, with its short-duration events and global scrutiny, is the ultimate proving ground for AI-scraping fraud. Failures during either event will help shape long-term regulation, likely leading to stricter technical and compliance requirements.

The message is simple: Immediate hardening is required before the World Cup, and a full Zero Trust strategy must be established before LA28. If sports-betting apps wait until the Games start, the security and fairness gaps will already be widely open, and the AI-driven players will have already moved in.

The Ultimate Target Surface Expands

The implications of AI web scraping and market manipulation extend far beyond gambling and are likely to target:

• Other high-speed markets

• Other real-time pricing-sensitive transactions

• Behavioral manipulation

• API exploitation

• Consumer trust engineering

Real-time app attestation is the demarcation between AI-equipped web scrapers and security and trust.