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Cyber attacks often seem faceless, but hidden behind the headlines of financial loss and technical details there are very real human stories.
In 2025, we’re witnessing a shift in how ransomware operates, who it targets, and the consequences of falling victim.
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Holiseum will form a new Integrity360 services practice focused on OT/IoT and as a regional hub for the group in France
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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.
