Explore the world of phishing scams and learn how to protect your personal data with effective strategies and insights.

“2LOD” stands for Second Line of Defence, a risk management concept widely used in financial services, government and enterprise. In fraud prevention, 2LOD tools refer to the technologies, analytics and frameworks that provide oversight, assurance, and monitoring over frontline operations. Understanding the Three Lines Model 1st Line: Business units that own and manage risks day-to-day. 2nd Line: Risk and compliance teams that monitor and challenge the first line. 3rd Line: Internal audit that provides independent assurance. 2LOD tools help the middle layer function effectively. They don’t stop fraud directly but ensure that detection, monitoring and governance are robust. Examples of 2LOD anti-fraud tools Fraud Control Models - Intelligence-driven framework for mapping and benchmarking anti-fraud maturity. Fraud Risk Dashboards - Visual analytics showing real-time exposure across departments. Policy Assurance Systems - Tools to verify that fraud procedures are being applied consisten

Authorised Push Payment (APP) fraud has emerged as one of the most damaging forms of financial crime in the UK. Unlike traditional scams, APP fraud relies on deception rather than hacking. Victims are persuaded to transfer money themselves - to a criminal account they believe is safe. How APP fraud works A typical case begins with a convincing impersonation: a phone call from “the bank’s fraud team”, an SMS alert, or even a WhatsApp message appearing to come from a family member. The victim is told their account has been compromised and that they must transfer funds “for protection”. Once the transfer occurs, the funds are often dispersed through a web of mule accounts within minutes. The emotional dimension Fraudsters no longer rely solely on technical skill. They exploit emotion - fear, trust, love, urgency - to manipulate and confuse victims. PORGiESOFT Security’s behavioural analysis shows that victims generally report “feeling pressured by authority” during the scam. Why detection

Every year, thousands of people who consider themselves digitally savvy fall victim to scams. It raises an uncomfortable question: if we know fraud exists, why are there still fraud victims? Fraud as psychological warfare Fraudsters craft messages that exploit instinct rather than reason. Their goal is not to outsmart systems but to override our judgment. PORGiESOFT Security’s Threat Intelligence research identifies three recurring emotional triggers in successful scams: urgency, authority and reward. Urgency – “You must act now.” Authority – “This is your bank / your boss / the government / I need a gift card.” Reward – “You’ve won / you’re entitled to a refund.” When these cues appear in moments of stress or distraction, even experienced professionals can react impulsively. In other cases, the intention is simply to pique the interest of the recipient - not necessarily to deceive initially. Cognitive overload in the digital age Modern life floods us with notifications, deadlines and

You can't wait to start shopping this Black Friday, maybe you've even been sent some early deals. How can you stay safe online? Black Friday is an exciting time for businesses, there are so many transactions. In 2021, Black Friday falls on November 26. Last year according to the PwC, 88% of shoppers expected to do their black Friday shopping online and we can expect something similar this year. The surge in transactions saw one card processing firm process over 1,000 transactions per second. Current events remain one of the most important weapons in the arsenal of fraudsters, they exploit current events to make a scam more relevant, more believable and more urgent. Due to the time-limited nature of black Friday deals, the volume of transactions and the ensuing surge in deliveries over the next few days, there’s a strong possibility you or your loved ones could inadvertently become victims of cyber fraud. What can you do to stay safe? We’ll take a closer look at the overall threat land