Artificial intelligence is moving from passive analysis to autonomous agents. Agentic AI describes systems capable of making decisions, initiating actions, and pursuing goals with minimal human input. While this offers huge efficiency gains, it also introduces complex cyber fraud and security risks. What is Agentic AI? Traditional AI models classify data or generate responses when prompted. Agentic AI goes further: it plans, adapts and interacts with systems and people to complete tasks. Examples include: Automated trading agents Customer service bots with payment access Shopping agents that can find the best deals and help the user do their shopping or book a holiday Potential benefits More efficient trading across multiple platforms. Reduction in customer service response times and wait times. Faster bookings at relatively cheaper prices. Fraud and Security Risks Autonomy Without Oversight: Agents may act beyond intended parameters, causing financial detriment. Adversarial Manipulat

University students are increasingly being targeted by fraudsters who exploit financial pressures, part-time job searches and accommodation needs. From fake landlord listings to student finance phishing emails, scams are now a real part of campus life. Our research at PORGiESOFT Security, reveals that students remain one of the most vulnerable demographics to fraud and scams - largely due to financial stress, limited fraud-focused financial education and digital dependence. Understanding the Student Threat Landscape Fraud targeting students typically falls into these key categories: Accommodation scams - fake rental listings or deposits for non-existent housing. Job and income scams - false remote work opportunities or fake recruiter messages offering high pay for simple tasks. Phishing and financial scams - fraudulent emails impersonating Student Finance, HMRC, or universities asking for payment details. Students may also encounter scams through social media groups or online marketpla

It’s that time of year again - when online shopping peaks, deliveries pile up, and inboxes fill with shipping updates. Unfortunately, it’s also prime time for fraudsters. In the weeks surrounding major retail events like Black Friday and Christmas, delivery scams spike dramatically. The perfect storm for scammers Every year, billions of legitimate parcels are shipped across the UK. In 2024 alone, Royal Mail processed over 4.2 billion parcels. Fraudsters exploit this activity by sending fake text messages and emails claiming to be from couriers such as Royal Mail, DPD, Evri or Amazon. These messages often contain a short link asking recipients to pay a small redelivery fee - usually between £1.99 and £3.99 - or to “confirm delivery details”. While the amount seems trivial, these scams are designed to harvest card details, personal data and sometimes install malware. Once details are captured, victims may be targeted by further scams or unauthorised transactions. How delivery scams have

Fraud is no longer an isolated risk; it’s a national security issue. With over $1 trillion lost to fraud globally each year and hundreds of millions of citizens affected, the need for a unified approach has never been greater. Yet, most organisations still handle fraud as a departmental issue - a problem for “finance” or “security”. The reality is that fraud now cuts across every function, from HR and IT to customer service and communications. Why a connected approach matters In our research across UK financial institutions, we found that fewer than half had a documented fraud operations framework. Even fewer had mechanisms to connect fraud teams with cybersecurity or threat intelligence units. The result is duplication, delays, and gaps - the perfect environment for sophisticated criminals. Fraud OS is our response to this fragmentation. It’s a connected model for managing fraud operations - merging people, processes, technology and intelligence into one coherent framework. What Fraud

Explore essential practices for cyber security to protect your digital assets from evolving threats and safeguard your sensitive data.

One of the most innovative aspects of the Smishing Report 2022 was its forensic linguistic framework - a system that treated text messages as structured data rather than random spam. By analysing grammar, tone, syntax, and response prompts, PORGiESOFT Security’s Threat Intelligence Function could uncover consistent behavioural patterns across threat actors. Language as an intelligence layer The research introduced nine smishing “classes”, each representing a distinct linguistic strategy. This classification showed that language choice directly correlated with sophistication across the global threat landscape. Simpler messages often targeted broad audiences (“Your package is waiting”), while complex multi-element messages targeted high-value individuals. The linguistic shift Between 2020 and 2022, the report observed a clear simplification in sentence structure and increase in conversational tone. Older scams used rigid, formal phrasing (“Kindly verify your account to avoid suspension”)