The recruitment industry is undergoing digital transformation at unprecedented speed. Online job boards, mobile-first recruitment platforms, and AI-driven candidate matching have expanded opportunities for employers and job seekers. However, these innovations also open the door for new recruitment fraud schemes, cybersecurity risks, and fake employer and candidate profiles that put platforms, recruiters, and applicants at risk.

The accounting industry is the backbone of financial integrity, regulatory compliance, and global trust. With rapid digital transformation, the sector faces increasing risks of accounting fraud, cybersecurity threats in accounting software, and financial statement manipulation in accounting firms.

Recruitment fraud costs over $2 billion annually worldwide. More than 14% of job seekers globally reported recruitment scams in 2023. Discover how CrossClassify protects hiring platforms with AI-powered fraud detection.

Over $5.14 billion in accounting fraud losses reported globally, with 70% involving financial statement manipulation. Learn how CrossClassify protects accounting firms with AI-powered fraud detection and behavioral analytics.

The average cost of a data breach reached about 4.88 million dollars per incident in 2024. Behavioral biometrics analyzes how people interact with devices to verify identity continuously and prevent fraud.

Fintech growth brings instant onboarding, instant payments, and instant risk. Attackers move between account takeover, synthetic identity creation, payout diversion, and API probing in a single session. Product and risk leaders need an operating model that links evidence to decisions in real time.

The speed of gaming means instant deposits, instant spins, and instant withdrawals. That same velocity creates attack surface for rings that switch between account takeover, bonus abuse, payment fraud, collusion, and responsible gaming bypass in real time.

Growth in crypto means instant onboarding, instant swaps, and instant payouts. That same speed attracts rings that pivot between account takeover, synthetic onboarding, bridge hopping, wash trading, and API probing in a single session.

Healthcare organizations operate at the intersection of clinical urgency, sensitive personal data, and complex payments. That mix attracts organized fraud and opportunistic abuse that target portals, telehealth endpoints, billing systems, and pharmacy flows.

Modern supply chains run on interconnected portals, APIs, EDI bridges, and IoT feeds. The same openness that powers speed also gives fraud rings and opportunistic actors a broad attack surface. Discover comprehensive fraud prevention strategies for supply chain operations.

Freight and transportation platforms are high-value targets for organized rings that monetize stolen identities, spoofed carriers, double brokering, payout diversion and rate scraping. Discover comprehensive fraud prevention strategies for freight platforms.

A comprehensive hierarchy for securing mining operations through identity hardening, OT integrity, sensor validation, asset protection, and administrative controls. Learn practical detection methods with real-world examples from Norsk Hydro, Aurubis, and industry best practices.

Digital bookings and loyalty programs turned travel into a target rich environment for cybercrime, with fraud losses reaching $21 billion worldwide. Discover comprehensive fraud prevention strategies for travel platforms.

Over $4 billion in cyber fraud losses hit the mining industry in recent years, with 35% linked to insider threats and credential abuse. Discover how CrossClassify protects mining organizations from sophisticated fraud attacks.

Over 70% of modern attacks in DeFi platforms bypass MFA and WAF protections. 34% of crypto-related fraud cases involve insider negligence or compromised internal access.

Discover how over $50 billion in fintech fraud losses affect global platforms. Learn about account takeover prevention, bot attacks, and AI-powered security solutions for fintech organizations.

Explore how healthcare fraud causes over $100 billion in annual losses. Learn about insider threats, EHR protection, and AI-powered fraud detection solutions for healthcare organizations.

Discover how the travel industry faces $21 billion in fraud losses annually. Learn about account takeover prevention, loyalty program protection, and AI-powered fraud detection solutions for travel platforms.

Discover the hidden costs of supply chain fraud, real-world cases, and how CrossClassify protects against cyber threats. Learn about procurement fraud, insider threats, and comprehensive security solutions for modern supply chains.

Freight fraud is a rapidly growing, multi-billion-dollar threat exploiting identity theft, insider abuse, and digital vulnerabilities across the supply chain. CrossClassify combats these risks with AI-driven, behavior-based monitoring that detects and stops fraud before it causes damage.

Odoo is a powerful, open-source ERP (Enterprise Resource Planning) platform designed to help organizations automate, streamline, and scale their business operations — all from a centralized system

Did you know that 73% of businesses are missing a critical security layer that could cut breach detection time from 207 days to just hours?

iGaming refers to any form of online gambling that involves betting or wagering on the outcome of a game or event. This includes online poker, casinos, sports betting, and fantasy sports platforms.

Despite recognizing the value of digital transformation, many mining CEOs delay the journey due to unconscious fears. Data breaches, regulatory liabilities, and fear of losing operational control act as psychological barriers.

Odoo is an open-source ERP platform offering a suite of business applications, including CRM, accounting, inventory, HR, and more. It supports modular deployment and seamless integrations.

CARTA empowers enterprises to continuously evaluate risks and adapt their security strategies in real time, ensuring that threats are identified and neutralized as they emerge.

AI-powered User Behavior Analytics (UBA) continuously monitors user actions, detects anomalies, and responds to evolving fraud tactics in real-time, ensuring proactive threat prevention beyond traditional security measures.

Device fingerprinting creates a unique digital identifier for a device by analyzing a combination of its attributes. These attributes are collected from the device’s hardware, software, and network environment, enabling precise and persistent identification.

In 2024, cybercrime is projected to cost the global economy approximately $9.5 trillion USD annually, underscoring the escalating threat to businesses worldwide

As we head into 2025, fraud risk management is no longer a nice-to-have; it’s a must for every business. With cybercriminals becoming more sophisticated and fraud evolving at lightning speed, companies face new challenges every day.

As we head into 2025, fraud risk management is no longer a nice-to-have; it’s a must for every business. With cybercriminals becoming more sophisticated and fraud evolving at lightning speed, companies face new challenges every day.

Account Takeover (ATO) is a rapidly growing cybercrime where unauthorized users gain access to legitimate online accounts through stolen credentials or social engineering tactics.

Few industries have faced off more cyber attacks than medtech. As any organization relying on high value data, medtech typically faces off more cyber attacks than in other fields, of more risk and cost.

Few industries have faced off more cyber attacks than medtech. As any organization relying on high value data, medtech typically faces off more cyber attacks than in other fields, of more risk and cost.

Zero trust architecture (ZTA) has emerged as a fundamental paradigm in modern cybersecurity, providing critical protection to online data, applications and accounts.

LinkedIn has recently seen a dizzying increase in account takeover attacks in the last year. In 2022 already, phishing attacks on LI were already up 232% year on year.

The advent of Cloud computing over the last decade has fundamentally transformed how businesses operate, offering scalable resources and significant cost efficiencies.

The financial industry, encompassing banking and fintech, faces a complex array of cyber threats that are continuously evolving due to technological advancements and the increasing sophistication of cybercriminals.

Cybersecurity has always been a fast evolving field, countering a mutating, fragmenting threat. This threat has been accelerating since the advent of Large Language Models (LLM) and Generative AI.

Fraud and identity theft are major, rising concerns globally, affecting millions of individuals and organizations every year.

Privileged Access Management (PAM) is about safely authenticating a unique user online, to give them relevant access, data, and permissions. It is a simple but key concept in modern cybersecurity.

Cybersecurity in the judicial and legal domain is of extreme importance. As an industry, legal practices or lawtech startups have always faced an elevated onus to protect and manage sensitive personal, case data.

Law practices and startups in the lawtech space face an elevated onus when it comes to protecting extremely valuable and sensitive data.

Behavioral biometrics are a class of AI-powered cybersecurity defenses that involve the analysis of unique patterns in human behavior for security purposes.

Security measures in cybersecurity include a panoply of tools from the physical security of server rooms, to using AI to protect against new account opening fraud or identity theft.

Application security includes all the measures, tools and policies set up to protect software applications against cyberthreats of any kind.

The average cost of a data breach in 2024 has spiked to $6.5 million per incident, a 150% increase on 2020. Astonishingly, around 50% of these attacks are estimated to have been either AI generated or developed.

Imagine a big promotion by a popular online business, e.g. a retailer or a fintech app, offering exclusive discounts to attract new customers.

Imagine waking up to a series of alerts from your bank, thanking you for opening new accounts you never applied for. This was the reality for Martin, a regular guy who suddenly found himself in the middle of identity theft and new account fraud.