Cases Problem Why CtrlFrk Journey Incidents Get Protected
For C-Level Executives & Board Members

Your Security Tools
Don't Understand
Your Business

Traditional sensors see packets. They don't see a crypto hot wallet being drained at 3 AM. They don't understand why your RNG seed matters. They can't tell when an API key is being exfiltrated versus legitimately used. That's why 29,200+ iGaming breaches happened anyway.

See The Difference View Breach Evidence
$390B+
Cumulative Losses
29,200+
Documented Incidents
194
Days to Detect
Less than 1
Second with CtrlFrk
$9.5B+
Global Fines (2024)
01

The Core Problem

Traditional security was built for traditional businesses. iGaming is not traditional.

!

Traditional Sensors

SIEM, EDR, WAF, IDS/IPS

Traditional security tools analyze network traffic, log events, and match signatures. They have no understanding of what makes iGaming unique. They can't differentiate between a legitimate jackpot payout and a fraudulent one.

  • BLIND Cannot detect RNG manipulation - sees normal database queries
  • BLIND Cannot identify hot wallet drains vs. legitimate payouts
  • BLIND Cannot flag API key exfiltration if traffic looks normal
  • BLIND Cannot understand insider threats with valid credentials
  • BLIND Cannot correlate game integrity with security events
  • BLIND Cannot speak to business impact in board-level terms
F

FREAK Agents

CtrlFrk AI Security Platform

FREAK agents are trained on iGaming operations. They understand your business logic, your assets, your regulatory obligations. They don't just see traffic - they understand intent.

  • KNOWS Monitors RNG seed generation and flags statistical anomalies
  • KNOWS Tracks wallet balances and detects abnormal withdrawal patterns
  • KNOWS Understands API key usage context and flags suspicious access
  • KNOWS Models employee behavior and detects insider threat indicators
  • KNOWS Correlates game data, financial transactions, and security events
  • KNOWS Reports in business terms: revenue at risk, license implications
02

iGaming-Specific Assets

These are the assets traditional security doesn't understand - and attackers exploit.

W

Crypto Hot Wallets

Traditional tools see wallet transactions as normal API calls. They can't distinguish between a player withdrawal and an insider draining funds.

Stake.com (2023): $41M drained by Lazarus Group. Hot wallet compromise took minutes.
R

RNG Seeds & Algorithms

Sensors see database reads. They can't flag when someone is reverse-engineering your slot machine outcomes using timing analysis.

Russian PRNG Hackers (2009-2018): $250K/week stealing from slots worldwide using phone apps.
K

API Keys & Secrets

Payment gateway keys, odds feed credentials, player data APIs. Traditional tools can't tell if an API key is being used maliciously.

Merkur Group (2025): 800K players exposed via GraphQL API vulnerability.
P

Player Databases

KYC documents, payment methods, betting history. Sensors see SQL queries, not data exfiltration patterns targeting high-value players.

MGM (2019-2023): 142M+ guest records stolen across multiple breaches.
G

Game Integrity Data

Outcome logs, payout percentages, bonus calculations. Manipulation here means regulatory action, but sensors can't correlate it.

Planet Poker (1999): Trust broken industry-wide when RNG vulnerability was exposed.
I

Privileged Insider Access

Employees with database access, slot technicians, cage workers. Sensors trust authenticated users - insiders exploit this.

Hot Lotto (2005-2011): $24M stolen by security director Eddie Tipton via RNG manipulation.
03

Feature Comparison

What you're paying for versus what actually protects iGaming.

Capability Traditional Sensors FREAK Agents
Crypto Wallet Monitoring NOSees API calls, not financial context YESReal-time balance tracking, anomaly detection, multi-sig verification
RNG Integrity Protection NOCannot analyze game outcome patterns YESStatistical analysis of outcomes, seed generation monitoring
Insider Threat Detection LIMITEDTrusts authenticated users YESBehavioral modeling, access pattern analysis, role anomalies
Business Context Awareness NONetwork-level visibility only YESUnderstands jackpots, payouts, regulatory thresholds
API Security (iGaming-specific) LIMITEDGeneric rate limiting YESBet manipulation detection, odds feed integrity, player action validation
Third-Party Vendor Risk NONo visibility into vendor access YESMonitors CRM, payment, game providers for compromise indicators
Regulatory Compliance Correlation NOSeparate compliance tools needed YESPCI-DSS, MGA, UKGC, ISO 27001 continuous monitoring
Board-Level Reporting NOTechnical logs only YESRevenue impact, license risk, liability exposure in real-time
Detection Time 194 DAYSIndustry average SUB-SECONDAutonomous real-time response
Incident Response ALERTCreates ticket, waits for human AUTONOMOUSContains threat, notifies board, documents for regulators
04

Why They Got Hacked

Real breaches. Real failures. What sensors missed.

2023 $100M+

MGM Resorts

Social Engineering / Scattered Spider

10-day outage. Slot machines, room keys, reservations all down. Attackers used a simple phone call to the help desk, impersonating an employee found on LinkedIn.

Why Sensors Failed

Sensors saw legitimate admin credentials being used. No anomaly. The human was the vulnerability - sensors don't understand social context.

2023 $15M Paid

Caesars Entertainment

ALPHV Ransomware / 6TB Data Stolen

65 million loyalty members compromised. Company paid $15M ransom (down from $30M demand). Same attackers as MGM, different outcome.

Why Sensors Failed

Third-party IT vendor was the entry point. Sensors had no visibility into vendor access patterns or context about what data was sensitive.

2023 $41M

Stake.com

Hot Wallet Compromise / Lazarus Group

North Korean state hackers drained the crypto hot wallet in minutes. Funds moved through multiple chains before anyone noticed. Lazarus has stolen $200M+ from gambling in 2023.

Why Sensors Failed

Sensors saw blockchain transactions, not theft. No understanding that this withdrawal pattern was abnormal for the business. No context = no alert.

2023 $450M Fine

Crown Resorts (Australia)

AML Failures / AUSTRAC Investigation

Largest casino fine globally. Failed to detect money laundering through their properties. Junket operators moving billions with no oversight.

Why Sensors Failed

Security tools focused on cyber threats, not financial crimes. No correlation between player behavior, transaction patterns, and regulatory requirements.

2009-2018 $250K/week

Russian PRNG Slot Hackers

RNG Reverse Engineering

After Russia banned gambling, hackers bought decommissioned machines and reverse-engineered the Aristocrat PRNG. Used phone apps to predict outcomes. Hit casinos globally for a decade.

Why Sensors Failed

No network intrusion occurred. Players won "legitimately" by predicting outcomes. Sensors can't detect statistical anomalies in game results.

2005-2011 $24M+

Hot Lotto - Eddie Tipton

Insider RNG Manipulation

The lottery's own security director manipulated the RNG across 5 states for 6 years. He had legitimate access. He was the trusted insider.

Why Sensors Failed

Tipton had full access to the systems. His actions looked normal because he was authorized. Sensors trust credentials. FREAK agents model behavior.

05

The Pattern of Failure

Every major iGaming breach shares these common security gaps.

68%

Insider Element

Most breaches involve employees, contractors, or third-party vendors with legitimate access. Sensors trust authenticated users by design.

194

Days to Detect

Industry average time to identify a breach. Marriott was breached for 4 years before discovery. Sensors wait for obvious signatures.

0

Business Context

Traditional tools have zero understanding of iGaming operations. They can't tell a jackpot from a heist, a player from an attacker.

06

Meet The FREAK Agents

Autonomous AI agents that understand iGaming security.

FREAK agents are not sensors. They're AI specialists trained on iGaming operations, threat patterns, and regulatory requirements. They work 24/7, communicate with each other, and report directly to the board when something threatens your business.

C

CIPHER

The Cryptographer

Protects crypto wallets, encryption, key management

P

PHANTOM

The Infiltrator

Penetration testing, API security, attack simulation

S

SENTINEL

The Guardian

Real-time monitoring, threat detection, incident response

O

ORACLE

The Predictor

Threat intelligence, risk forecasting, APT tracking

F

FORGE

The Builder

Secure architecture, compliance automation, hardening

How It Works

Click any element to learn more. AI runs everywhere - on every server, every endpoint.

Industry First

The Only Cybersecurity Product That Talks Directly to the Board

No translation layer. No trust issues. FREAK agents report in business terms - revenue at risk, license implications, liability exposure. Your board gets real-time security intelligence they can actually understand and act on.

BREACHAPEDIA THREAT INTEL AI-POWERED F AI HOT WALLET SERVER CIPHER agent active [CLICK FOR DETAILS] F AI RNG SERVER SENTINEL agent active [CLICK FOR DETAILS] CONTROL PANEL AI COORDINATION HUB 5 AGENTS ACTIVE BOARD ALERTS TALK TO YOUR INFRASTRUCTURE F AI API GATEWAY PHANTOM agent active [CLICK FOR DETAILS] F AI PLAYER DATABASE ORACLE agent active [CLICK FOR DETAILS] BOARD / C-SUITE DIRECT LINE NO TRANSLATION - NO TRUST ISSUES [CLICK FOR DETAILS] AI RUNS EVERYWHERE Every server, every endpoint FREAK AGENTS Autonomous 24/7 protection
F
Component Name
AI-Powered Protection
Description goes here.

Stop Buying Blind Security

Your attackers understand iGaming. Your security should too. Schedule a threat assessment and see what your sensors are missing.