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

In a world where fraudsters evolve daily, traditional training materials are rapidly losing their impact. Every week, thousands of new scams are launched - some with human-like precision and tone. Yet, most employees, citizens and consumers still receive awareness information that feels outdated, generic or disconnected from reality. The challenge for organisations is no longer whether to train people on fraud risks, but how to do it effectively in a digital-first, AI-driven environment. The new face of fraud education Fraudsters have learned to imitate not only emails and brands, but emotions. They exploit human curiosity, fear, urgency and even empathy to drive impulsive actions - often leading to financial losses. Modern fraud isn’t limited to crude spam messages; it includes AI-generated voices, cloned websites, and realistic video impersonations. In this environment, awareness needs to be as dynamic as the threats themselves. At PORGiESOFT Security, we’ve been developing AI-Avatar

When implementing AI in your organisation, there are at least 4 important areas you should focus on. Artificial intelligence is more than just a buzzword. With the explosion of data and the corresponding increase in the data storage capacity for storage devices, there is a pressing need to be able to make automated informed decisions based on available facts. Due to advances in technology as well as an increase in computing processing power, powerful computer software containing AI algorithms can now be developed to take advantage of the vast amount of data available and hopefully do something useful with it – apply the knowledge in a specific field to solve a particular problem. Think of the human brain, the human brain itself has around 100 billion neurons. The average human is trained in a certain field over a number of years and throughout their lifetime, they gradually develop the neuron connections in their brain through experience, trial & error, learning at an institution and