Insights

Artificial intelligence has become the defining technology story of the past two years. It dominates boardroom discussions, investor briefings, vendor messaging, product launches and conference agendas. Every sector is being told that AI will transform how it operates, competes and manages risk.Cybersecurity is no exception.

A tabletop exercise can help organisations test how they would respond to a serious ICT-related incident before one happens.

Recent reports published by Integrity360’s partners at CrowdStrike and Fortinet points to a threat landscape increasingly defined by speed, automation, AI-enabled activity, identity abuse, cloud exploitation and attackers moving across endpoints, networks, SaaS applications and cloud infrastructure.

The FIFA World Cup is underway, bringing together millions of travelling fans, billions of viewers, global sponsors, broadcasters, hospitality providers, retailers and businesses looking to engage with one of the world’s biggest sporting events. But while attention is fixed on the football, cybercriminals are exploiting the excitement, urgency and scale of the tournament.

As 2026 approaches its halfway point, cyber attackers have caused major disruption, exposed sensitive data and targeted some of the systems organisations depend on most. This year has seen high-profile attacks affecting government data, critical infrastructure, healthcare technology, education platforms and software supply chains. From destructive cyber activity and cloud-based breaches to attacks on OT and open source tools, the trend is clear: cyber risk is here to stay and is constantly evolving.

NIS2 is in force, and organisations across Europe now face higher expectations around cybersecurity risk management, resilience, incident handling and supply chain security.

For many organisations, the default answer to “how often should we run a penetration test?” has traditionally been simple: once a year. In 2026, that answer is no longer enough.

The arrival of Mythos AI has sparked intense debate across the cybersecurity industry. From security researchers to mainstream media, the conversation has swung between fascination and fear to indifference with some stating that we’ve all seen such hype before.

For many organisations, MDR is one of the most important cybersecurity investments they can make. The promise is compelling: continuous monitoring, faster threat detection, expert-led investigations and around-the-clock response capabilities without the cost and complexity of building a large in-house SOC.

Artificial intelligence is increasingly being embedded across business operations, decision-making processes, and customer interactions. While this presents clear opportunities for efficiency and innovation, it also introduces a new layer of complexity, particularly around governance, security, and compliance.

Organisations across every industry and sector are racing to adopt AI agents. They’re told that they can work faster, automate and reduce costs. Vendors are pushing the idea of intelligent digital workers that can make decisions and complete tasks at pace and with very little human intervention.

Managed Detection and Response is one of the largest and most critical cybersecurity investments an organisation can make.