Blog Posts

Social engineering attacks remain the leading cause of security incidents because they exploit trust, not technology. From phishing emails to executive impersonation, attackers manipulate human behaviour to bypass controls. Reducing risk requires more than tools; it demands strong policies, behavioural safeguards, and continuous cybersecurity awareness training.

Small and mid-sized businesses typically employ between 1 and 499 people. Despite their size, these organizations rely on the same digital tools as large enterprises, often without the same level of cybersecurity protection.

Cyber attacks now threaten revenue, operations, and organizational trust (not just systems). This article reframes cybersecurity as a business risk, explaining why executives and boards must take ownership of cyber risk management to protect long-term resilience and organizational value.

Cybersecurity is no longer just an IT issue. This article equips boards and executives with the essential questions needed to govern cyber risk effectively, align security strategy with business priorities, and strengthen organizational resilience in an evolving threat landscape.

AI is reshaping the modern SOC, accelerating detection, triage and response, but it hasn’t changed the core truth that the hardest problems in cybersecurity are still human problems. Automation can process the noise, enrich signals and execute playbooks at machine speed, yet breaches continue to stem from judgement, context and behaviour that no model can fully interpret. This piece explains why AI-powered operations must keep human decision-making firmly in charge, and how to design an AI-accelerated SOC where technology amplifies analysts instead of replacing them.

Artificial intelligence has shifted from a supporting tool to a defining force in cybersecurity. Recent incidents, from indirect prompt injection attacks to state-sponsored groups using LLMs for reconnaissance and phishing, reveal how AI is accelerating both offence and defence. Organizations deploying AI-driven detection and response are cutting breach lifecycles dramatically, yet new vulnerabilities, governance challenges, and machine-speed attacks demand equally rapid adaptation. As experts like Ken DSouza note, the security landscape is now defined by acceleration: attackers are faster, defenders are faster, and the organizations that evolve will determine whether AI becomes an advantage or a liability.