Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Bot Management vs. ThreatX: How to Stop Business Logic Fraud

Bot Management vs. ThreatX: How to Stop Business Logic Fraud In this video, A10 Networks security expert Gary Wang explores the critical differences between dedicated bot management platforms and the ThreatX approach. If you are concerned about protecting your web applications from sophisticated fraud, this breakdown is essential viewing. Using a real-world scenario—a convenience store referral program being exploited by bad actors—Gary explains how attackers bypass standard defenses to commit "business logic" fraud.

New Partnership With Friends Against Scams: Together Against Cybercrime

We're excited to announce our new partnership with Friends Against Scams, a National Trading Standards initiative working to protect people from scams across the UK. Together, we've created a cybercrime factsheet to help individuals understand the threats they face online, who is most at risk, and where to turn for support.

How to Detect Phishing Before It Happens: Moving Beyond User Awareness

By the time a phishing email lands in an inbox, the attacker’s infrastructure has already been live for hours. That’s not a hypothetical. Zimperium’s 2024 research found that 60% of newly created phishing domains receive a TLS certificate within the first two hours of registration. The site is credentialed, hosted, and ready before most security teams have any signal it exists.

How to stop fraud and cyberattacks from becoming liquidity ordeals

When it comes to real-time payments, fraud moves fast — but liquidity stress can move even faster. A fraud or cyberattack can quickly become a liquidity event when it disrupts settlement funds, triggers abnormal transaction flows or forces payment services offline. That is why banks, payment processors and instant payment networks need real-time visibility into transaction activity, settlement exposure and emerging operational risk.

FBI: Americans Lost More Than $20 billion to Fraud Last Year

Cyber-enabled crimes cost Americans nearly $21 billion in 2025, a 26% increase from the previous year, according to the FBI’s latest Internet Crime Report. Phishing, extortion, and investment scams were the most commonly reported attacks, with AI-related scams driving some of the costliest losses. Phishing was the top attack vector, with these attacks leading to more than $215 million in losses. Notably, AI-assisted business email compromise (BEC) attacks cost victims more than $30 million.

This Sophisticated Scam Should Be a Warning To All Companies

Scams are becoming more sophisticated over time, but this latest scam should be a wake-up call to all organizations and employees as to how far some scammers will go to damage your organization or its stakeholders. On March 31, 2026, malicious hackers hijacked the development account of a lead maintainer of a popular open source product called Axios used by many companies. It has over 100 million downloads a week. Note: The Axios involved here is not Axios, the news media company.

How to Detect Man-in-the-Middle Attacks: Indicators, Methods, and Detection Gaps

Most MITM attacks don’t announce themselves. No alerts fire, no certificates visibly break, and no users report anything unusual. By the time the interception is discovered, credentials or session tokens are already in attacker hands. Knowing how to detect man-in-the-middle attacks requires looking across multiple layers: network traffic, DNS resolution, TLS certificate integrity, and session behavior.

Why QR Code Phishing Is the New 2026 Security Blind Spot

QR code phishing is a social engineering attack that embeds malicious URLs inside QR code images delivered through email. Because the payload lives inside an image — not in a clickable link or plain text — legacy secure email gateways (SEGs) never see it. The email passes inspection. The user scans the code with their phone. And the attack moves from a protected corporate desktop to an unmanaged mobile device outside your security perimeter.

Deepfake Fraud in Business - Can You Trust What You See?

Razorthorn has worked with wide range of technically savvy clients who are confident they would spot a fake, but confidence is exactly what makes deepfake fraud so effective. In 2024, a finance manager at engineering firm Arup transferred $25 million to fraudsters after taking part in a video call with what appeared to be his CFO and several colleagues. Every person on that call was fabricated. None of it was real.