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Deepfake video, synthetic voice, and AI-generated personas are now capable of mimicking real people with unsettling accuracy. For many organisations, the challenge is no longer spotting a poorly written phishing email, but determining whether the person on the phone, in a video call, or in an email thread is even real.
Our theme for this year’s Security First conferences and our 2026 Trends and Predictions Guide is Resilience redefined: securing the human-AI era. But what exactly does that mean? In this blog we explain it and why it will be the theme of 2026.
Artificial intelligence has rapidly gone from an experimental technology to a business essential. In just three short years AI has been adopted by 78% of organisations for at least one business function, and 84% of CEOs plan to increase their investment in 2025. Against this backdrop, the European Union has introduced the world’s first comprehensive regulatory framework for AI — the EU AI Act.
It’s the spookiest time of year, but the scariest masks aren’t made of latex but pixels.
Deepfakes are becoming a major cyber security threat
Artificial Intelligence (AI) is rapidly transforming the cyber threat landscape, and phishing is evolving into something far more sophisticated than just mass email scams. AI is empowering attackers with the means to launch faster, smarter, and more personalised campaigns at scale.
Deepfake technology is rapidly evolving, making it easier for cybercriminals to manipulate digital content and deceive individuals and organisations. One of the most concerning threats that has emerged from this technology is deepfake social engineering – a sophisticated cyber attack method that leverages artificial intelligence (AI) to create realistic fake audio, video, or images to manipulate and defraud targets.
Artificial intelligence (AI) is revolutionising industries, and cybercrime is no exception. While organisations explore AI-driven security solutions, threat actors are leveraging the same technology to enhance their attacks—making them faster, more sophisticated, and more targeted than ever before.
In today’s digital-first world, adopting artificial intelligence (AI) brings remarkable benefits, but it also introduces significant cyber security and compliance risks. To help mitigate these risks and align with AI governance best practices, a comprehensive AI risk assessment is crucial. This strategic approach not only enhances cyber resilience but also ensures your organisation meets regulatory compliance standards like GDPR, NIS2, and DORA. Here’s how your company can implement an effective AI risk assessment framework to secure a leading position in ethical AI adoption and risk management.
AI adoption is transforming business practices across industries—from financial analysis to software engineering. Enterprises that strategically embrace this technology will gain a significant competitive advantage.
In a recent incident, a prominent cyber security company discovered they had inadvertently hired a North Korean operative posing as an IT professional. This individual, using various AI tools, managed to infiltrate the company by joining as an employee, accessed its systems and attempted to plant malware. The incident has brought to light the increasing sophistication of cyber threats during the recruitment process. If a major cyber security firm can fall victim, other less security-savvy organisations face even greater risks and underscores the necessity for robust verification processes and heightened vigilance in recruitment.
